Book of Abstracts
The 1st International Conference on Applied Science, Technology, Engineering, and Mathematics
October 30-31, 2019 at Universitas Prasetiya Mulya BSD City, Indonesia
organized by
2 October 30, 2019
PREFACE AND WELCOME ADDRESS
On behalf of the organizing committee, I would like to take this opportunity to welcome you to the 1st International Conference in Applied Science Technology Engineering and Mathematics (ICASTEM) 2019. We are grateful for the opportunity to host this conference. It is truly an honor and a pleasure.
I would like to thank the keynote speaker, Prof Roberto Verganti, and the invited speakers (Dr Dumaria Tampubolon, Prof Ismail Khalil, Mr. Nur Pamudji, Dr Mohan Rajesh Elara, and Prof. Purwiyatno Hariyadi), for fulfilling our invitation to give talks at ICASTEM 2019. I am sure all participants are excited at the opportunity to attend their inspiring talks.
This conference would have been difficult to realize without the generous supports from the sponsoring institutions (BCA, Quadra, Medco Foundation, Kaskus, and GDP Labs). We are definitely thankful for their strong commitment in sponsoring this conference.
I would also like to warmly thank all the organizers of this conference for giving me the privilege of welcoming and addressing the attendees, and more importantly for working together to prepare this event.
ICASTEM is designed as a bi-annual International Conference organized by School of Applied Science, Technology, Engineering, and Mathematics, Universitas Prasetiya Mulya. This year, the conference will kick off by exploring the theme of “Innovation in STEM for Smart and Healthy Life”. This conference aims to provide an ideal platform for participants from academia, research institutions and industry to disseminate their research, exchange ideas about innovation in STEM, share successful stories, discuss about collaboration opportunities as well as expand their networks. Hopefully, this conference could provide us with a deeper understanding of STEM innovation in general and in particular latest advances in STEM related to smart and healthy life that can potentially shape the future society.
We have numerous participants from several countries, and not only from academia, but also from finance institutions, technology and research centers. In total, we received 48 abstracts from different fields of science and technology. With the multidisciplinary parallel sessions and invited talks in this year’s program, we hope that you are in for inspiring keynote and invited speeches, scientific presentations, and discussions.
I wish you all a very pleasant and fruitful time throughout the conference. Thank you.
Jakarta, October 2019
Dr. Agung Alfiansyah Chairman The 1st ICASTEM Organizing Committee
3 October 30, 2019
WELCOME MESSAGE From The Rector of Universitas Prasetiya Mulya
Dear speakers, moderators, participants, sponsors and organizing committee’s members, Welcome to ICASTEM 2019, which is designed as Prasetiya Mulya’s contribution to learning by enterprising in the age of science. Life is change and behind it STEM advances serve increasingly as prime mover. Indeed, life, of which humankind is a part, is at the threshold of a new punctuated equilibrium, the shape of which most of us do not dare to imagine yet. On the one hand we are confronted with mind-boggling issues but on the other hand solutions are within reach to some of the issues. Humankind is challenged to uncouple on the one hand from a life that is obsessed with abundance despite affliction of the atmosphere, air, oceans, lakes, rivers, forests and biodiversity with choking elements and symptoms of exhaustion, and to transition on the other hand to a life that mimics nature in its smart thriftiness in dealing with space-time and the elements or a life that one may call homeostatic life. At the same time humankind is at the early stage of learning to live with artificial intelligence (AI), not only as an obedient helpmate but also as journey companion. What is more, it is venturing into a re-edited life through genome-editing machines such as CRISPR/Cas 9 with promising applications in agriculture and health. Last but not least, humankind the playful is nurturing a new leisure which is fun and profitable at the same time. I extend appreciation and gratitude to all parties who make this ICASTEM 2019 at Universitas Prasetiya Mulya a reality of success: keynote speaker, moderators, panelists, participants, sponsors and members of the organizer. The ambience of enterprising learning in which this event is set will greatly facilitate, I hope, creative and fruitful interactions that each of us can bring home to enrich works in our respective places of responsibility.
Jakarta, October 2019
Prof. Dr. Djisman S. Simandjuntak Rector of Universitas Prasetiya Mulya
4 October 30, 2019
WELCOME MESSAGE From The Dean of School of Applied Science, Technology, Engineering, and Mathematics (STEM) Universitas Prasetiya Mulya
The rapid development of technology has affected all aspects of human life. However, higher education seems to lag behind the industry to anticipate this growth. The methods that are developing in solving problems, especially in the IT field are very fast changing, so that the validity of one method is short, and then immediately replaced by the latest methods. The discovery of new methods is certainly influenced by the ability to innovate. Thus, innovation becomes very important in finding the best solution for solving problems using technology.
The first International Conference initiated by the School of Applied STEM with the theme: Innovation in STEM for Smart and Healthy Life, aims to inspire all academic community so that in academic life, innovation becomes an important concern. This conference is fortunate to have Prof. Roberto Verganti as keynote speaker who is a prominent figure in terms of how these innovations can be realized. With the presence of the following invited speakers: Prof. Mohan Rajesh Elara, Prof. Purwiyatno Hariyadi, Prof. Ismail Khalil Ibrahim, Mr. Nur Pamudji, Dra. Dumaria Rulina Tampubolon, Ph.D, they will inspire us in terms of innovating in a smart industry and healthy life.
Hopefully this conference will encourage us as academicians or users of science and technology to keenly strengthen our ability to innovate in our respective fields. Thank you.
Jakarta, October 2019
Prof. Dr. Janson Naiborhu Dean of School of Applied STEM Universitas Prasetiya Mulya
5 October 30, 2019
ORGANIZING COMMITTEE
Steering Committee : Prof. Dr. Janson Naiborhu Prof. Yudi Samyudia, Ph.D Franky Supriyadi, Ph.D Lina Jaya Diguna, Ph.D Maydison Ginting, Ph.D Erwin Anggadjaja, Ph.D Stevanus Wisnu Wijaya, Ph.D Indra Buana, M.T Dr. Zaki Saptari Saldi Yalun Arifin, Ph.D
Chairman : Dr. Agung Alfiansyah
Secretariat : Dr. Zaki Saptari Saldi
Finance : Dita Kustiandany, S.I.Kom Veronica Febi Amalia, M.Ak
Sponsorship & Marketing : Lina Jaya Diguna, Ph.D Communication Maria Zefanya Sampe, M.Si, M.M
Program Event : Fidelis Stefanus Hubertson Simanjuntak, Ph.D Anastasia Ary Noviyanti, M.Sc Fransisca Wijaya, M.P Rike Tri Kumala Dewi, M.Si Sesaria Kikitamara, M.Sc Silmi Kaffah, M.Sc
Scientific Committee : Prof. Pitoyo Hartono Chukyo University, Japan Dr. Eng. Bayu Prabowo Pertamina Research and Technology Center, Indonesia Dr. Danang Birowosuto CNRS International NTU Research Alliance, Indonesia Edi Kurniawan, Ph.D Indonesian Institute of Science, Indonesia Akbar Ramdhani, Ph.D Swinburne University of Technology, Australia Prof. Ken Seng Tan University of Waterloo, Canada
6 October 30, 2019
ACKNOWLEDGMENT OF SPONSORSHIPS
The Organizing Committee gratefully acknowledge the generous sponsorship from the following institutions:
7 October 30, 2019
PROGRAMME AT A GLANCE
Day 1 : Wednesday, 30th October 2019
Time Duration Description Place 08.30-09.00 30’ Registration 09.00-09.05 5’ Opening and Indonesia’s national anthem and Safety Induction 09.05-09.15 10’ Opening address by the rector of Universitas Prasetiya Mulya : Prof. Dr. Djisman S. Simandjuntak 09.15-10.30 75’ Keynote Speaker: Prof. Roberto Verganti, School of Management, Politecnico di Milano, Italy 10.30-10.40 10’ Photo session 10.40-11.20 40’ Invited Speaker I : Dumaria Rulina Tampubolon, M.Sc, Ph.D, Bandung Auditorium Institute of Technology, Indonesia William 11.20-12.00 40’ Invited Speaker II : Prof. Ismail Khalil Soeryadjaya Ibrahim, Johannes Kepler University of Linz, Austria 12.00-13.00 60’ Lunch Break 13.00-13.40 40’ Invited Speaker III : Nur Pamudji, M. Eng, MPM, Indonesia Solar Energy Association (ISEA), Indonesia 13.40-14.20 40’ Invited Speaker IV : Dr. Mohan Rajesh Elara, Singapore University of Technology and Design, Singapore 14.20-15.00 40’ Invited Speaker V : Prof. Purwiyatno Hariyadi, IPB University, Indonesia 15.00-15.15 15’ Coffee Break Presentation-Parallel Session Collaborative 15.15-18.00 165’ BM* CSE* REE* PDE* FBT* STEM Laboratories Auditorium 19.00-21.00 120’ Gala Dinner (all presenters) William Soeryadjaya
Note
BM* = Business Mathematics CSE* = Computer and Software Engineering REE* = Renewable Energy Engineering PDE* = Product Design Engineering FBT* = Food Business Technology
8 October 30, 2019
Day 2 : Thursday, 31th October 2019
Time Duration Description Place 08.30-09.00 30’ Registration 09.00-09.10 5’ Safety Induction 09.10-09.20 10’ Opening address by Vice Rector I Universitas Prasetiya Mulya : Prof. Yudi Samyudia 09.20-11.40 140’ Talk by Prof. Roberto Verganti, School Soehanna of Management, Politecnico di Milano, Hall Italy 11.40-11.50 10’ Introduction of shorgum-based food 11.50-11.55 5’ Photo Session 11.55-12.00 5’ Closing 12.00-13.00 60’ Lunch
Note
The programme on day 2 is only for invited guests
9 October 30, 2019
SCIENTIFIC PROGRAMME
SESSION Business Mathematics Room R 3011, Collaborative STEM Laboratories 30th October 2019 Moderator Maydison Ginting, Ph.D Time Code Title 15.15-15.35 BM-01 The Non-Stationary Time Series Model in the Stock- Price Mahfudhotin* 15.35-15.55 BM-02 Collaborative Learning by Enterprising – A Holistic Learning Cycle for Science and Engineering Education Yudi Samyudia*, Fidelis Stefanus Hubertson Simanjuntak, Indra Buana 15.55-16.15 BM-03 Digital Image Encryption Algorithm Using Unimodular Matrix and Logistic Map Indra Bayu Muktyas*, Sulistyawati 16.15-16.35 BM-04 Developing Alternative Area Yield Index Based Crop Insurance Policies in Indonesia Dian Kusumaningrum*, Valantino Agus Sutomo, Ken Seng Tan 16.35-16.55 BM-05 Analyzing Mathematical Communication Skills of Junior High School Students in the Topic of Polyhedron (Cube and Cuboid) Livia Eunike Paut*, Sulistiawati 16.55-17.15 BM-06 Penalized Spline Regression Model on Values Data of Indonesian Spices Export Bening Melati Ningrum*, Dewi Retno Sari Saputro, Pangadi 17.15-17.35 BM-07 STEM (Science, Technology, Engineering, and Mathematics) Application in Mathematics Learning to Enrich the Mathematical Literacy of Pre-Service Teacher in Pre-Calculus Course Sulistiawati* 17.35-17.55 BM-08 Generate a Linear Equation System Through Unimodular Matrix Using Python and Latex Samsul Arifin*, Indra Bayu Muktyas *presenter
10 October 30, 2019
SESSION Computer and Software Engineering Room R 3012, Collaborative STEM Laboratories 30th October 2019 Moderator Erwin Anggadjaja, Ph.D Time Code Title 15.15-15.35 CSE-01 Optimising Pi Digits Computation Using GPU Yozef Tjandra*, Agung Waluyo, Sanga Lawalata 15.35-15.55 CSE-02 Toward Artificial Intelligence Generated Batik Agung Alfiansyah* 15.55-16.15 CSE-03 Implementation of CCTV in Classroom for Monitoring Activities Learning Teaching in School Based on Raspberry Pi Live Streaming Using Smartphone Muhammad Amin*, Nuiza Ma'ruf 16.15-16.35 CSE-04 Logistic Map Implementation for Determining Many Bits in the Least Significant Bit Method for Digital Image Steganography Nuiza Ma'ruf*, Indra Bayu Muktyas 16.35-16.55 CSE-05 Application of Forward Chaining Algorithm to Optimize the Use of Classrooms at Matana University Surya Eka Putra*, Simon Prananta Barus 16.55-17.15 CSE-06 Monitoring and Classification of Water Quality Using Xbee Wireless Communication Octarina Nur Samijayani*, Tyan Permana Saputra 17.15-17.35 CSE-07 Restovasi: An Artificial Intelligence-based Restaurant Reservation Platform Hubert Tatra*, Max Muljono, Dimas P. Widyatmojo, Fitriaji T. Robbaanii, Permata Nur Miftahur Rizki 17.35-17.55 CSE-08 Applying Big Data Analytics to Predict Demands of Products Utilizing Regression Method – An Experiment on Local Store Data in Saudi Arabia Idrees Alsolbi* *presenter
11 October 30, 2019
SESSION Computer and Software Engineering Room R 3014, Collaborative STEM Laboratories 30th October 2019 Moderator Stevanus Wisnu Wijaya, Ph.D Time Code Title 15.15-15.35 CSE-09 Shopping Center Location Recommendation System in Bengkalis Using Haversine Method Based on Android Susilawati Nurdin*, Mansur Basri, Kasmawi 15.35-15.55 CSE-10 Evaluating E-commerce Website: Lesson from Shopee Website Ni Made Ananda Ayu Permata* 15.55-16.15 CSE-11 River Monitoring System for Watershed of Brantas River Using IoT Technology Muhammad Aziz Muslim*, Raden Arief Setyawan, Achmad Basuki, Angger Abdul Razak, Retno Wahyu Widyanto 16.15-16.35 CSE-12 User Experience Testing – A Case Study of Traveloka Baihaqi Saputra* 16.35-16.55 CSE-13 Finding Love: A Game Based on Alexa I Putu Krisna* 16.55-17.15 CSE-14 A Design of Voice Service Interactive Quiz Application Ni Made Ananda Ayu Permata*, Permata Nur Miftahur Rizki 17.15-17.35 CSE-15 Does Social Media Usage Make People More Vulnerable to Disinformation: Lessons from Indonesian Elections 2019 Stevanus Wisnu Wijaya* *presenter
12 October 30, 2019
SESSION Renewable Energy Engineering Room R 3015, Collaborative STEM Laboratories 30th October 2019 Moderator Indra Buana, M.T Time Code Title 15.15-15.35 REE-01 Synthesis of Zn Dross to Zinc Acid Using Hydrometallurgy Method Beta Riana Liasari*, Muhamad Ikhlasul Amal, Lina Jaya Diguna 15.35-15.55 REE-02 Challenges in the Future Application of Hydrogen Energy in Indonesia Gede Herry Arum Wijaya*, Fidelis Stefanus Hubertson Simanjuntak 15.55-16.15 REE-03 Techno Economy Study of Chemical Zinc Oxide Synthesis from Zinc Dross Waste Charis Achmad Tajuddin*, Beta Riana Liasari, Agus Sukarto Wismogroho, Wahyu Bambang Widayatno, Retno Kusumaningrum, Lina Jaya Diguna, Muhamad Ikhlasul Amal 16.15-16.35 REE-04 Potency of Natural Pigment in Red Cabbage as Light Harvester Muhammad Bilal Athallah*, Altion Markoli, Dennis Caesar Haberth, Puji Sakinah Marinda, Sri Wahyuning Puji Ayu Lestari, Lina Jaya Diguna 16.35-16.55 REE-05 Heat Transfer Distribution over Absorber Plate of Delta Winglet Rib Roughened Solar Air Heater Amit Kumar*, Apurba Layek 16.55-17.15 REE-06 Structural, Optical and Impedance Analysis of PVP- Capped PbS Nanoparticles Synthesized via Microwave Irradiation Maharaz Nasir*, Halimah Kamari *presenter
13 October 30, 2019
SESSION Product Design Engineering Room R 3016, Collaborative STEM Laboratories 30th October 2019 Moderator Dr. Zaki Saptari Saldi Time Code Title 15.15-15.35 PDE-01 Fuzzy Analytic Network Process to Explore Design for Sustainability Strategy in Furniture Industry Ezra Peranginangin* 15.35-15.55 PDE-02 Robots & Religion: A Critical Review of Technological Receptivity in Buddhist Society and Practice Aulia Ardista Wiradarmo*, Regisda Machdy Fuadhy 15.55-16.15 PDE-03 Design of Longitudinal Altitude Holding Control System (LAHCS) of Wing in Surface Effect (WiSE) Air Vehicle Muhammad Nanda Setiawan*, Leo Parytta, Evan Rizky Suryana Nur, William Andaro H 16.15-16.35 PDE-04 Computer-Aided Engineering in Medical Devices Design: Future Outlook Willyon Pratama*, Zaki Saptari Saldi 16.35-16.55 PDE-05 Bridging Designer and Tailor with Mobile Application Stanley Wyatt Adema* 16.55-17.15 PDE-06 Initial Study: Ultrasonic Waves Application for Fruits Inspection Nurmalia* 17.15-17.35 PDE-07 Augmented Reality for Riders: CU Glasses Medelyn Angel Hartono*, Willyon Pratama, Nicholas Cliff, Anastasia Ary Noviyanti 17.35-17.55 PDE-08 Conjugate Heat Transfer Simulations of PCM Cold Storage Systems Zaki Saptari Saldi* *presenter
14 October 30, 2019
SESSION Food Business Technology Room R 3017, Collaborative STEM Laboratories 30th October 2019 Moderator Yalun Arifin, Ph.D Time Code Title 15.15-15.35 FBT-01 Docking Study of Brown Algae Phenolics as Inhibitors for Cyclooxygenase-1 (COX-1) Riyan Anggriawan*, Daniel Joko Wahyono, Narongrit Muangmai 15.35-15.55 FBT-02 Food Handling in Indonesian Restaurants Lakeshia Erlino*, Ancilla Betaria Tirtana, Karina Kalasanza, Monica Febriana, Nurhayati 15.55-16.15 FBT-03 Challenge to Enforce Food Safety Law and Regulation in Indonesia Kadek Agus Prabawa, Ni Nengah Ari Widiastuti*, Nurhayati 16.15-16.35 FBT-04 Determination of Proximate Composition of Rice, Sago and Tapioca Flours and Their Calorific Values Kevin Christopher*, Owen Agitza Jaya, Ihsan Iswaldi 16.35-16.55 FBT-05 Qualitative Analyses of Borax, Formalin, Methanyl Yellow and Rhodamine-B in Selected Food at Pasar Modern BSD City Indonesia Ferdinand Kenji*, Laudya Jenita, Ni Nengah Ari Widiastuti, Ihsan Iswaldi 16.55-17.15 FBT-06 Effect of Addition of Binahong Leaves on Fish Feed Against Survival of Infected Goldfish Seeds Aeromonas sp. Citra Panigoro*, Juliana, Yuniarti Koniyo 17.15-17.35 FBT-07 Exploring Sate Bandeng as a Traditional Cuisine from Banten: History, Classification and Production Process Rike Tri Kumala Dewi*, Ihsan Iswaldi 17.35-17.55 FBT-08 The Application of Spirulina for the Treatment of Wastewater from Tempeh Production Yalun Arifin*, Angelina Jennifer, Candra Wijaya, Lieke Riadi *presenter
15 October 30, 2019
GENERAL INFORMATION
Registration/Information Desks Each presenter will receive a conference package, which includes a certificate, a book of abstract (e-print), 1-person gala dinner coupon, a USB-id card, and all relevant conference information.
Presenter Loading Files All presenters are required to upload their files to the PC in the presentation room at the break before their sessions. If the presenter would like to preview their files, please contact the committee.
Presentation Guidelines Time allocation (including question & answer session) for each speaker or presenter:
Keynote speaker: 75 minutes Invited speaker: 40 minutes Oral presenter: 20 minutes
16 October 30, 2019
TABLE OF CONTENTS
PREFACE AND WELCOME ADDRESS ...... 3 WELCOME MESSAGE ...... 4 ORGANIZING COMMITTEE ...... 6 ACKNOWLEDGMENT OF SPONSORSHIPS ...... 7 PROGRAMME AT A GLANCE ...... 8 SCIENTIFIC PROGRAMME ...... 10 GENERAL INFORMATION ...... 16
KEYNOTE SPEAKER Design Driven Innovation 23 Roberto Verganti
INVITED SPEAKERS Incorporating the Earthquakes Characteristics in the Estimation of the Earthquakes Outstanding Claims Liability: The Chain Ladder IS-BM Method and Fuzzy Neural Network 25 Dumaria Rulina Tampubolon*, Agus Yodi Gunawan, Joanne Imanuella Rachman Artificial Intelligence in the Age of Big Data IS-CSE 26 Ismail Khalil Recent Trends on Solar PV Implementation in Indonesia IS-REE 27 Nur Pamudji The Rise of Self-reconfigurable Maintenance Robots IS-PDE 28 Mohan Rajesh Elara Food Science and Technology Innovation for Smart and Healthy IS-FBT 29 Purwiyatno Hariyadi
SESSION : BUSINESS MATHEMATICS BM-01 The Non-Stationary Time Series Model in the Stock-Price 31 Mahfudhotin* BM-02 Collaborative Learning by Enterprising – A Holistic Learning Cycle for Science and Engineering Education 32 Yudi Samyudia*, Fidelis Stefanus Hubertson Simanjuntak, Indra Buana BM-03 Digital Image Encryption Algorithm Using Unimodular Matrix and Logistic Map 33 Indra Bayu Muktyas*, Sulistyawati BM-04 Developing Alternative Area Yield Index Based Crop Insurance Policies in Indonesia 34 Dian Kusumaningrum*, Rahma Anisa, Valantino Agus Sutomo, Ken Seng Tan
17 October 30, 2019
BM-05 Analyzing Mathematical Communication Skills of Junior High School Students in the Topic of Polyhedron (Cube and Cuboid) 35 Livia Eunike Paut* BM-06 Penalized Spline Regression Model on Values Data of Indonesian Spices Export 36 Bening Melati Ningrum*, Dewi Retno Sari Saputro and Pangadi BM-07 STEM (Science, Technology, Engineering, and Mathematics) Application in Mathematics Learning to Enrich the Mathematical 37 Literacy of Pre-Service Teacher in Pre-Calculus Course Sulistiawati* BM-08 Generate a Linear Equation System Through Unimodular Matrix Using Python and Latex 38 Samsul Arifin* Indra Bayu Muktyas
SESSION : COMPUTER AND SOFTWARE ENGINEERING CSE-01 Optimising Pi Digits Computation Using GPU 40 Yosef Tjandra*, Agung Waluyo, Sanga Lawalata CSE-02 Toward Artificial Intelligence Generated Batik 42 Agung Alfiansyah* CSE-03 Implementation of CCTV in Classroom for Monitoring Activities Learning Teaching in School Based on Raspberry Pi Live Streaming 44 Using Smartphone Muhammad Amin*, Nuiza Ma'ruf CSE-04 Logistic Map Implementation for Determining Many Bits in the Least Significant Bit Method for Digital Image Steganography 45 Nuiza Ma'ruf*, Indra Bayu Muktyas CSE-05 Application of Forward Chaining Algorithm to Optimize the Use of Classrooms at Matana University 46 Surya Eka Putra*, Simon Prananta Barus CSE-06 Monitoring and Classification of Water Quality Using Xbee Wireless Communication 48 Octarina Nur Samijayani*, Tyan Permana Saputra CSE-07 Restovasi: An Artificial Intelligence-based Restaurant Reservation Platform 49 Hubert Tatra*, Max Muljono, Dimas P. Widyatmojo, Fitriaji T. Robbaanii, Permata Nur Miftahur Rizki CSE-08 Applying Big Data Analytics to Predict Demands of Products Utilizing Regression Method – An Experiment on Local Store Data in Saudi 50 Arabia Idrees Alsolbi* CSE-09 Shopping Center Location Recommendation System in Bengkalis Using Haversine Method Based on Android 51 Susilawati Nurdin*, Mansur Basri, Kasmawi
18 October 30, 2019
CSE-10 Evaluating E-commerce Website: Lesson from Shopee Website 52 Ni Made Ananda Ayu Permata* CSE-11 River Monitoring System for Watershed of Brantas River Using IoT Technology 53 Muhammad Aziz Muslim*, Raden Arief Setyawan, Achmad Basuki, Angger Abdul Razak, Retno Wahyu Widyanto CSE-12 User Experience Testing – A Case Study of Traveloka 55 Baihaqi Saputra* CSE-13 Finding Love: A Game Based on Alexa 56 I Putu Krisna* CSE-14 A Design of Voice Service Interactive Quiz Application 57 Ni Made Ananda Ayu Permata*, Permata Nur Miftahur Rizki CSE-15 Does Social Media Usage Make People More Vulnerable to Disinformation: Lessons from Indonesian Elections 2019 58 Stevanus Wisnu Wijaya*
SESSION : RENEWABLE ENERGY ENGINEERING REE-01 Synthesis of Zn Dross to Zinc Acid Using Hydrometallurgy Method 61 Beta Riana Liasari*, Muhamad Ikhlasul Amal, Lina Jaya Diguna REE-02 Challenges in the Future Application of Hydrogen Energy in Indonesia 62 Gede Herry Arum Wijaya*, Fidelis Stefanus Hubertson Simanjuntak REE-03 Techno Economy Study of Chemical Zinc Oxide Synthesis from Zinc Dross Waste Charis Achmad Tajuddin*, Beta Riana Liasari, Agus Sukarto 64 Wismogroho, Wahyu Bambang Widayatno, Retno Kusumaningrum, Lina Jaya Diguna, Muhamad Ikhlasul Amal REE-04 Potency of Natural Pigment in Red Cabbage as Light Harvester Muhammad Bilal Athallah*, Altion Markoli, Dennis Caesar Haberth, 66 Puji Sakinah Marinda, Sri Wahyuning Puji Ayu Lestari, Lina Jaya Diguna REE-05 Heat Transfer Distribution over Absorber Plate of Delta Winglet Rib Roughened Solar Air Heater 67 Amit Kumar*, Apurba Layek REE-06 Structural, Optical and Impedance Analysis of PVP-Capped PbS Nanoparticles Synthesized via Microwave Irradiation 68 Maharaz Nasir*, Halimah Kamari
19 October 30, 2019
SESSION : PRODUCT DESIGN ENGINEERING PDE-01 Fuzzy Analytic Network Process to Explore Design for Sustainability Strategy in Furniture Industry 70 Ezra Peranginangin* PDE-02 Robots & Religion: A Critical Review of Technological Receptivity in Buddhist Society and Practice 71 Aulia Ardista Wiradarmo*, Regisda Machdy Fuadhy PDE-03 Design of Longitudinal Altitude Holding Control System (LAHCS) of Wing in Surface Effect (WiSE) Air Vehicle 73 Muhammad Nanda Setiawan*, Leo Parytta, Evan Rizky Suryana Nur, William Andaro H PDE-04 Computer-Aided Engineering in Medical Devices Design: Future Outlook 74 Willyon Pratama*, Zaki Saptari Saldi PDE-05 Bridging Designer and Tailor with Mobile Application 76 Stanley Wyatt Adema* PDE-06 Initial Study: Ultrasonic Waves Application for Fruits Inspection 77 Nurmalia* PDE-07 Augmented Reality for Riders: CU Glasses Medelyn Angel Hartono*, Willyon Pratama, Nicholas Cliff, Anastasia 80 Ary Noviyanti PDE-08 Conjugate Heat Transfer Simulations of PCM Cold Storage Systems 81 Zaki Saptari Saldi*
SESSION : FOOD BUSINESS TECHNOLOGY FBT-01 Docking Study of Brown Algae Phenolics as Inhibitors for Cyclooxygenase-1 (COX-1) 83 Riyan Anggriawan*, Daniel Joko Wahyono, Narongrit Muangmai FBT-02 Food Handling in Indonesian Restaurants Ancilla Betaria Tirtana, Karina Kalasanza, Lakeshia Erlino*, Monica 84 Febriana, Nurhayati FBT-03 Challenge to Enforce Food Safety Law and Regulation in Indonesia 85 Kadek Agus Prabawa, Ni Nengah Ari Widiastuti*, Nurhayati FBT-04 Determination of Proximate Composition of Rice, Sago and Tapioca Flours and Their Calorific Values 86 Kevin Christopher*, Owen Agitza Jaya, Ihsan Iswaldi FBT-05 Qualitative Analyses of Borax, Formalin, Methanyl Yellow and Rhodamine-B in Selected Food at Pasar Modern BSD City Indonesia 87 Ferdinand Kenji*, Laudya Jenita, Ni Nengah Ari Widiastuti, Ihsan Iswaldi FBT-06 Effect of Addition of Binahong Leaves on Fish Feed Against Survival of Infected Goldfish Seeds Aeromonas sp. 88 Citra Panigoro*, Juliana, Yuniarti Koniyo
20 October 30, 2019
FBT-07 Exploring Sate Bandeng as a Traditional Cuisine from Banten: History, Classification and Production Process 89 Rike Tri Kumala Dewi*, Ihsan Iswaldi FBT-08 The Application of Spirulina for the Treatment of Wastewater from Tempeh Production 90 Yalun Arifin*, Angelina Jennifer, Candra Wijaya, Lieke Riadi
21 October 30, 2019
KEYNOTE SPEECH ABSTRACT
22 October 30, 2019
Design Driven Innovation
Roberto Verganti
School of Management, Politecnico di Milano
E-mail: [email protected]
Abstract
How to create products and services that people love? How to create something they do not ask for, and yet, they fall in love for as soon as they see it? We often think that innovation is about having ideas. But nowadays we live in a world awash with ideas. Thanks to digital technologies, we have easy access to an unprecedented amount of novel opportunities. To create things that people love, we need instead to find a meaningful direction. Design can help us succeed in this overcrowded world. It can help us make sense of this overabundance of opportunities, and focus our creativity and the creativity of others towards a new, shared meaning. The speech brings us into the new frontiers of Design: the use of design to find a meaningful direction. It provides the mindset, the process, and the tools. Leveraging on the experiences of firms such as Apple, Yankee Candle, Nest Labs, Philips, Gucci, Deloitte, it shows how we can nurture a new purpose that is actionable, and that people love.
Keywords: New scenario of innovation; vision; technology and leadership; technology and design; the value of technological progress; curiosity; critical thinking
23 October 30, 2019
INIVITED SPEECHES ABSTRACTS
24 October 30, 2019
IS-BM
Incorporating the Earthquakes Characteristics in the Estimation of the Earthquakes Outstanding Claims Liability: The Chain Ladder Method and Fuzzy Neural Network
Dumaria Rulina Tampubolon1, Agus Yodi Gunawan2, Joanne Imanuella Rachman3
1Statistics Research Division, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung 40132, Indonesia 2Industrial and Financial Mathematics Research Division, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung 40132, Indonesia 3Master in Actuarial Science, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung 40132, Indonesia
E-mail: [email protected]
Abstract
An earthquake insurance is a longtail general insurance business. It always takes more than a year to finalize the claims caused by an earthquake. It is important to measure the uncertainty in the estimation of the outstanding claims liability of an earthquake insurance. As no body can predict with certainty when and where an earthquake will occur and with what magnitude, one may need to compare different models or methods to set up enough claims reserve for an earthquake insurance business. The Chain Ladder (CL) method is widely used in determining the outstanding claims liability of a longtail insurance business. However, the assumptions underlying the CL method are rarely met by the earthquake insurance claims. In particular, the assumption of the stability of the development ratios. In this study, we attempt to incorporate the characteristics of an earthquake, which underlies the severity of claims, in determining the development factors of the runoff triangle of the severity of claims. Those characteristics considered in this study are: the moment magnitude of the earthquake; the depth of the source of the earthquake; the longitude and latitude of the earthquake. The Fuzzy Neural Network (FNN) system is applied to incorporate those four characteristics in determining “the clusters” which is then used to create the corresponding runoff triangles of the severity of claims. In this study, the “elbow method” is used to determine the optimal number of clusters. Through the process of defuzzification, the development ratio of the individual claims is constructed; and hence, the CL estimate of the outstanding claims liability. We use a runoff triangle of an earthquake insurance claims as a case study. The CL estimates with and without the application of the FNN method are then compared.
Keywords: Outstanding Claims Liability; Earthquake Insurance; Chain Ladder Method; Fuzzy Neural Network.
25 October 30, 2019
IS-CSE
Artificial Intelligence in the Age of Big Data
Ismail Khalil
The Institute of Telecooperation, Johannes Kepler University, Linz, Austria
E-mail: [email protected]
Abstract
In February 2011, Watson (IBM super computer) managed to beat two past grand champions on the TV quiz show Jeopardy!. Watson was able to answer questions that require intelligence when done by humans. This marked the first machine to pass the Turing test and started a new era of computing called cognitive computing where computers (modeled after the human brain) learn and interact naturally with people in order to augment what either humans or machines could do on their own.
Google, Amazon, Facebook, etc., using big data technologies, smart machine learning, cognitive computing, NLP and AI algorithms were able to tap into our intentions by predicting what we click, buy, like, dislike, shop, surf, etc. This marked the era of smart Web or data intelligence where Turing test is reversed and machines now try to figure out who we are, our information needs, our behavioral patterns, the activities we are engaged in and our goals. Together with the torrents of data we leave behind us every time we communicate with the digital eco-system, a new era of human- machine cooperation is starting that gives us millions of potential insights into user experience, marketing, personal tastes, and human behavior.
In this talk, we are going to illustrate, through motivating cases, examples, and research directions, the main characteristics of this era and how it can transform the way we interact with the Web to ultimately improve the quality of our lives and gain valuable insights into our affective, mental and physical states.
Keywords : Intelligent Web, Context Awareness, Ubiquitous Computing, Turing Test, Smart Applications
26 October 30, 2019
IS-REE
Recent Trends on Solar PV Implementation in Indonesia
Nur Pamudji
Indonesia Solar Energy Association (ISEA), Indonesia
E-mail: [email protected]
Abstract
Solar PV technology is used worldwide for generating renewable electricity. Three types are employed: generating electricity for utilities, providing electricity for commercial buildings and to reduce electricity bill in residential houses. Most of the implementation are grid-connected, so that the excess of energy flows to the electricity grid. Some are using battery to store this extra energy during day-time, and later to be used during night- time. Off-grid implementations are also becoming popular, either hybrid or 100% PV.
Awareness of climate change has increase the consumer’s preference on renewable energy, not only the kind of energy they use, but also the kind of energy used to produce consumer goods and services. Producers of consumer goods and services respond to this preference by increasing the portion of renewable energy in their production activities. Solar PV technology is chosen to provide renewable electricity in offices and workshops due to its simplicity in both installations and operations.
Regulation on solar PV utilization in Indonesia is developing. While regulation on utility scale is already established for 6 years, there are only 4 sites of utility solar farms. Regulation for commercial and residential building was enacted last year. Until now only around 1300 PLN’s customers use PV at their buildings. Application on industrial customers is hampered due to the so called parallel charge, in which 40% of equivalent electricity production by their PV must be paid to PLN in cash. Applications of PV at government buildings are widely discussed, but very few are already implemented.
Keywords : Rooftop-PV, On-Grid, off-Grid, Utility-Scale, Grid-Parity, RE100, PV-Regulation
27 October 30, 2019
IS-PDE The Rise of Self-reconfigurable Maintenance Robots
Mohan Rajesh Elara
Engineering Product Development Pillar, Singapore University of Technology and Design
E-mail: [email protected]
Abstract
Self-reconfigurable robots are intelligent machines capable of autonomously changing their kinematic morphologies to overcome complexities in the traversing environment or task being handled. Their promise of a high degree of versatility, robustness, and modularity is set to open up a wide range of new applications for robots. However, developing these robots are highly challenging. While some progress has been achieved, there are still many open issues. In this talk, I will share our ongoing efforts at the Singapore University of Technology and Design towards the development of self- reconfigurable robots using a well-defined set of deployment use cases in the maintenance domain.
28 October 30, 2019
IS-FBT
Food Science and Technology Innovation for Smart and Healthy Life
Purwiyatno Hariyadi
Department of Food Science & Technology, Faculty of Agricultural Engineering and Technology, IPB University, BOGOR, Indonesia Southeast Asian Food & Agricultural Science & Technology (SEAFAST) Center, IPB University, BOGOR, Indonesia
E-mail: [email protected]
Abstract
Food security is a prerequisite for countries to achieve the Sustainable Development Goals (SDGs). The food factor is closely associated with economic, social and environmental dimensions of development, and interlinked with each of the 17 SDGs. Food science and technology innovations have made and continue to make important contributions for food security. The food security in Indonesia, however, is still alarming. According to the Report of Basic Health Research, Ministry of Health, Republic of Indonesia (2018), the prevalences of undernourished and stunted children (under 5 years olds of age) in Indonesia are, respectively, 17.7% and 30.8%. The report also identified that the overweight and obese population of adults aged 18 and above are, respectively, 13.6% and 21.8%, meaning that roughly about one in every three adults, have weight problems. Those indicators are alarming and present a clear challenge for indonesia in acheiving the sustainable development goals. Achieving SDGs will require innovation across the food system. This presentation will highlight the importance of innovation, especially to increase the value of food, and also to trigger the creativity of millennial students as a driver of economic and sustainable development.
Keywords : Food Technology, Food Security, Value of Food, Innovation, SDGs
29 October 30, 2019
BUSINESS MATHEMATICS SESSION
30 October 30, 2019
BM-01
The Non-Stationary Time Series Model in the Stock-Price
Mahfudhotin
Faculty of Islamic Economics and Business, Institut Agama Islam Negeri Kediri (IAIN Kediri), Kediri, Indonesia
E-mail: [email protected]
Abstract
A stock-price index as the main indicator which describes the stock price movement has the role of the pattern market trend indicator in the global market. The pattern price stock connection in the short-term can be one of the important objects to analyze and concern the actions. One of the methods can be used to know the action or the characteristic is the time series process. The used of time series process because the process was observed by the data action based on the historical data processing that changed with the time for a particular variable. The time series model in this research is AR(1)- NGARCH(1,1) model especially the data distribution (variance). These two models are used to solve the heteroscedastic of a variance trait named volatility that up and down the stock price.
Keywords: Stock Price, AR(1)-NGARCH(1,1) Model, Volatility
31 October 30, 2019
BM-02
Collaborative Learning by Enterprising – A Holistic Learning Cycle for Science and Engineering Education
Yudi Samyudia, Fidelis Stefanus Hubertson Simanjuntak, Indra Buana
Renewable Energy Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
In science and engineering education, shaping the student’s knowledge, skills and attitude is one of the important graduate outcomes. This learning process may require a multi-disciplinary environment to nurture the students in such a way that they can learn not only theory but also practice. In this paper, we propose a so-called learning by enterprising as the new concept of learning cycle for science and engineering education. The proposed learning cycle is not only to train the students to generate innovative design ideas and create sci-tech products/systems with technical and experimental details but also to apply business skills to market them. This learning process requires some learning catalytic with different complexity to ensure that the students experience the whole cycle as each year-stage of the program. We have implemented this collaborative learning by enterprising in our undergraduate program, namely renewable energy engineering. We present some learning catalytic projects for the learning cycle.
Keywords: Learning Cycle, Science and Engineering Education, Enterprising, Learning Catalytic
32 October 30, 2019
BM-03
Digital Image Encryption Algorithm Using Unimodular Matrix and Logistic Map
Indra Bayu Muktyas, Sulistiawati
STKIP Surya Tangerang, Banten, Indonesia
E-mail: [email protected]
Abstract
The purpose of this research is to show that there is still an alternative in securing digital image data. The method used is to compile the key obtained from an algorithm. The algorithm presented is by generating an unimodular matrix on one of Chaotic map, that is Logistic Map. Each number from 0 to 255 generated from the Logistic Map occupies several entries from the unimodular matrix. The matrix is used as a key. The encryption results obtained are very difficult to read by third parties. The type of crytography used is symmetric crytography. Then, we also testing several digital images with diff erent sizes. The result of this process are the key space was very large, that is 5×1031, the decrypted image is same to the initial image, and the key sensitivity level is very small, that is 10-16.
Keywords: Encryption, Logistic Map, Digital Image, Unimodular Matrix, Python.
33 October 30, 2019
BM-04
Developing Alternative Area Yield Index Based Crop Insurance Policies in Indonesia: a Simulation Study
Dian Kusumaningrum1, Rahma Anisa2, Valantino Agus Sutomo1, Ken Seng Tan3
1Business Mathematic Department, Universitas Prasetiya Mulya, BSD City, Indonesia 2Department of Statistics, IPB University, Bogor, Indonesia 3Department of Statistics and Actuarial Science, University of Waterloo, Ontario, Canada
E-mail: [email protected]
Abstract
Crop insurance policy for paddy in Indonesia was introduced by the Ministry of Agriculture (MoA) in 2015 and the policy was based on a Multi-Peril Crop Insurance (MPCI). This policy carries out some disadvantages, e.g. high risk of moral hazard and adverse selection, high administrative cost, and low quality of human resources. Therfore, this paper explored alternative area yield index policies, which is considered more suitable for smallholder farmer and is promoted for good farming practices. We have also further explored bonus system in area yield index policies, hence it will make the policy more appealing for farmers. Results shown on this paper were based on simulation studies of five scenarios of alternative area yield based policies that was compared with the current Multi-Peril Crop Insurance (MPCI). For example Scenario 1 which is a Village Level Area Yield Index, where Indemnity is made if the village has lower productivity (푦푣) than the critical yield (푦푐). Futhermore, Scenario 2 which is a Two Step Level Area Yield Index, the Indemnity is made if the village has lower productivity than 푦푐 and only farmers that have a productivity less than 푦푐 in that area will get benefit. The assumptions made for this simulation were based on empirical data provided by BPS and MoA. After conducting 100.000 replication of simuliations, area yield policy with indemnity at a village level indicates the lowest premium and lowest Tail Value of Risk (TvaR). Pure premium estimated for this policy is around Rp 49.000/ha, which is much lower than the current MPCI policy which is priced at Rp. 180.000/ha. Eventhough this policy seems promising but it is diffrent from current MPCI which may imply to farmer rejection. Nevertheless, Scenario 2 that tends to be simillar to the current MPCI, has a slightly higher pure premium but still affordable for farmers around Rp. 250.000/ha. We have also found indications that under assumptions made by simulation, the price of MPCI (Rp 180,000/Ha) is currently too low and it has the highest TvaR (produces higher probability of greater claim amount). If the GoI still wants to apply MPCI, they have to adjust the premium.
Keywords: Area Yield Index, Simulation Studies, Multi-Peril Crop Insurance
34 October 30, 2019
BM-05
Analyzing Mathematical Communication Skills of Junior High School Students in the Topic of Polyhedron (Cube and Cuboid)
Livia Eunike Paut, Sulistiawati, M.Pd
Mathematics Education Department, STKIP Surya, Banten, Indonesia
E-mail: [email protected]
Abstract
The background of this study is the low level of mathematical communication skills of students that in this case, encountered difficulties to express mathematical ideas in mathematical language either in oral or written form. The aim of this study was to measure the percentage of mathematical communication skills of junior high school students in the topic of polyhedron (cube and cuboid). This study was conducted at SMP Negeri 1 Legok-Tangerang in academic year 2019/2020 in odd semester with 69 students of 9th grade as the subject of this study. The method of this study was quantitative descriptive and consisted in calculating and analyzing the mathematical communication skills of students based on a given task. The task was writing a text in essay form, consisted of 3 mathematical problems, each of which contained an indicator of mathematical communication skills. The result of this study is the percentage of mathematical communication skills of students: the indicator of the students’ ability to explain mathematical ideas by writing is 11.96%; the ability to explain a picture or a diagram in the form of mathematical ideas is 49.64%; and the ability to arrange the arguments of the mathematical problem and generalizing is 4.71%. Overall, the average of the percentage of the students’ mathematical communication skills in the topic of polyhedron (cube and cuboid) is 22.10%. It can be said that junior high school students’ mathematical communication skills in the topic of polyhedron (cube and cuboid) is even less.
Keywords: Mathematical Communication Skills, Polyhedron, Cube and Cuboid
35 October 30, 2019
BM-06
Penalized Spline Regression Model on Values Data of Indonesian Spices Export
Bening Melati Ningrum, Dewi Retno Sari Saputro, Pangadi Pangadi
Mathematics Department, Universitas Sebelas Maret, Surakarta, Indonesia
E-mail: [email protected]
Abstract
Spices are commodities in agricultural sector. The values data of Indonesian spices export are economic time series that can be modeled with autoregressive moving average (ARMA). The spices export values data from January 2011 to September 2016 have high volatility. Due to the assumption of error white noise on the model of ARMA (0,1) and model of ARMA (1,0) not fulfilled is high volatility. To overcome this issue a nonparametric regression model that is spline regression is used. Spline regression function only depends on the knot points. This issue causes the result function is not appropriate with the characteristics of the data. Therefore, a penalized spline regression model is used. Penalized spline regression model is a model of spline regression which the regression function depends on the knot points and smoothing parameter (λ). To determine the best penalized spline regression model more optimum knot point (K) and optimum λ are required. The values of K optimum and λ optimum are determined based on minimum generalized cross validation (GCV) values. The aim of this research is to apply penalized spline linear regression model on the values data of Indonesian spices export. The result of this research is the best penalized spline regression model on values data of Indonesian spices export with the optimum K value is 8 and optimum λ is 31622.78. The value of K optimum and λ optimum are obtained from minimum GCV 315791386. This model has root mean square error (RMSE) 12627.7313. The RMSE value is small so the model is good to be applied.
Keywords: Spices Export Value, White Noise, GCV, Penalized Spline
36 October 30, 2019
BM-07
STEM (Science, Technology, Engineering, and Mathematics) Application in Mathematics Learning to Enrich the Mathematical Literacy of Pre-Service Teacher in Pre-Calculus Course
Sulistiawati
STKIP Surya Tangerang, Banten, Indonesia
E-mail: [email protected]
Abstract
The purpose of this research is to see the mathematical literacy of pre-service teacher in Pre-Calculus course which integrates STEM (Science, Technology, Engineering, and Mathematics) in learning and how to enrich it. The method of this research is descriptive qualitative. This research has been carried out by 6 mathematics pre-service teacher in STKIP Surya (Surya College of Education) Tangerang-Indonesia in academic year 2019- 2020 odd semester. The data were collected by a test of the function material which integrated STEM, questionnaire, and interview. The instrument test, questionnaire and interview guidelines used were validated by experts i.e the lecturer in Mathematics Education Department of STKIP Surya. Result of this research is the mathematical literacy of pre-service teacher in Pre-Calculus Course was increased after STEM integration in learning. The students have also given positive responses to STEM integration in learning.
Keywords: STEM Application, Mathematical Literacy, Pre-Service Teacher, Pre- Calculus Course
37 October 30, 2019
BM-08
Generate a Linear Equation System Through Unimodular Matrix Using Python and Latex
Samsul Arifin1, Indra Bayu Muktyas2
1Actuarial Science Study Program, Universitas Binawan, Jakarta, Indonesia 2STKIP Surya Tangerang, Banten, Indonesia
E-mail: [email protected]
Abstract
A Linear Equation System that has the same number of equations as the number of variables is called the Determined Linear Equation System. A Linear Equation System can be represented as a multiplication of the coefficient matrix and solution vector of the Linear Equation System. Determining the solution of a Linear Equation System can use the inverse matrix method and Cramer's rule, where both can use the concept of determinant of a matrix. A square matrix is said to be unimodular if it has a determinant value of 1 or -1. The inverse of a unimodular matrix and the product of two unimodular matrices is also a unimodular matrix. If the coefficient matrix of a Linear Equation System is a unimodular matrix, then all solutions of a Linear Equation System are integers. This will facilitate us in determining the solution because it does not involve fractions at all. In this paper we will give a method to generating a Linear Equation System via a unimodular matrix using Python and Latex. The result is a file with pdf format that contains some Determined Linear Equation Systems with a unique solution in the form of integers. The conclusion is that by using the Python program, we can generate finite Determined Linear Equation Systems
Keywords: Linear Equation System, Unimodular Matrix, Python, Latex
38 October 30, 2019
COMPUTER AND SOFTWARE ENGINEERING SESSION
39 October 30, 2019
CSE-01
Optimising Pi Digits Computation Using GPU
Yozef Tjandra, Agung Waluyo, Sanga Lawalata
IT & Big Data Analytics Study Program, Calvin Institute of Technology, Jakarta, Indonesia
Email: [email protected]
Abstract
Computing as many as possible nonrecurrent digits of pi, the Archimedes’ constant, has been a pool of ambition and fascination for many mathematicians and computer scientists along the history of science. In this paper, we will demonstrate the strength area of GPU, that is to conduct relatively low cost massively parallel computation, in order to optimise the pi digits computation. Various mathematical formulas of pi (which usually appear as an infinite sum) exist each of which provides its own unique potential to boost up the speed of digits computation. One of the most important formula is the Bailey-Borwein-Plouffe (BPP) formula from which one could compute some hexadecimal digits of pi starting from the n-th digit without computing all of the previous digits. The slowest part of the algorithm is to sum n terms each of which is computable within O(log n) operations. Harnessing the abundant number of threads in GPU, we design a parallel algorithm to optimise the performance of the BPP algorithm. The algorithm distributes the workload of computing each summand term into the many threads of the GPU. Once the summand terms are ready, the algorithm distributes the summation tasks into the GPU threads and performs the parallel summing of certain pairs of summands in a sequence of rounds where the number of the required summing tasks in two consecutive rounds are cut into half of the previous size. In this research, we utilise NVIDIA GTX1060 6GB-1280 cores as the GPU and Intel i5-9400f as the CPU. As is typical in GPU programming best practice, the parallel algorithm performed poorer than the serial algorithm when we picked a small number of n. However, when we chose n to be greater than 500, the parallel algorithm soon outperformed the serial algorithm. For a sufficiently large n, the parallel algorithm performs at least 30 times faster than the serial one. In addition, an extension of the algorithm to output all the hexadecimal digits of pi up to the n-th digit is considered. By using some precomputation and memorisation techniques, the running time ratio between the serial and the parallel algorithms is even greater in the long run. Since the algorithm of this extended problem would demand repeating the above procedures for increasing values of n, it is a natural strategy to exclude unnecessary repeated computations from the algorithm. As the n increases, we can make use of the previously computed values to compute the next required terms. Fortunately, this procedure has less complexity compared to computing all the required values of the iteration using the naive original approach of the BPP algorithm. Furthermore, the procedure also has less complicated arithmetical operations compared to the corresponding procedure of the original algorithm. This certainly favours the GPU
40 October 30, 2019
computation because the discrepancy between performances of a single thread of CPU and GPU executing that specific procedure is smaller.
As expected, at the first few seconds, the serial version of the algorithm computed more digits than the parallel version. After about ten seconds later, the GPU-powered algorithm started to beat the number of computed digits and outperformed the serial algorithm since then. Moreover, we also provide some analysis which measures the GPU utilisation rate of our algorithms with respect to the number of GPU threads used in the computation. We then conclude the research by realising that the seemingly simple utilisation of GPGPU programming might lead to advancement of many other computational problems as long as they can be broken down to independent subproblems to be done in parallel. These include various linear algebra algorithms which are essential for deep learning, big data analytics, and many other contemporary topics in computer science.
Keywords: High Performance Computing, Parallel Computing, Pi Digits Computation, BPP Pi Formula, GPGPU Programming
41 October 30, 2019
CSE-02
Toward Artificial Intelligence Generated Batik
Agung Alfiansyah
Computer Systems Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
Email: [email protected]
Abstract
Batik is one of the great works of the Indonesian nation which is currently recognized by UNESCO Masterpieces of the Oral and the Intangible Heritage of Humanity. Batik pattern distribution amongst the regions in Indonesia are very diverse, the exposure to the outside culture to the people in a region is one of the important factors that enrich the batik patterns of the archipelago. In some ways, the wealth of batik motifs can only be enjoyed as a beauty of art, not one thing that we can systematically and scientifically understand. This scientific understanding framework will enable us to design new batik motifs, where the motifs will remain up-to-date with contemporary patterns, but still do not leave their characteristics as an archipelago batik motif.
Purpose The objective of this work is to develop a method based on artificial intelligence (machine learning) that is able to generate patterns, form and texture commonly found in batik automatically on training data that has been provided previously. This system will also be able to do a style of transfer on a non-batik image, to the other image that has similar pattern to that in the batik in accordance with the user's customization. We are interested in using a machine learning based transfer style in order to achieve the goals.
Methods We applied a style transfer method, in which to a representation of the style in input image is obtained from a feature space designed to capture texture information. This feature space is built on top of the filter responses in each layer of the network. It consists of the correlations between the different filter responses over the spatial extent of the feature maps. By including the feature correlations of multiple layers, we obtain a stationary, multi-scale representation of the input image, which captures its texture information but not the global arrangement.The results presented in the main text were generated on the basis of the VGG-Network a Convolutional Neural Network that claimed to have high performance on a common visual object recognition benchmark task. We used the feature space provided by the 16 convolutional and 5 pooling layers of the 19 layer VGG-Network. We do not use any of the fully connected layers. For image synthesis we found that replacing the max-pooling operation by average pooling improves the gradient flow and one obtains slightly more appealing results, which is why the images shown were generated with average pooling. Generally each layer in the
42 October 30, 2019
network defines a non-linear filter bank whose complexity increases with the position of the layer in the network.
Result The pictures below are some of the examples we have obtained from the models developed in this study. From some of the image data that we have processed, it appears that at this stage the VGG model that was trained still have some difficulties separating the objects in the images from the background. Thus, if the difference between input images and style images are very far, the resulting image is not too close to the batik pattern as is commonly seen. Further validation is needed, especially to assess the results of the closeness between batik patterns commonly seen with batik raised by this AI.
a b
c Figure 1. a) Original Image; b) Style Image; c) Transfer style result
Conclusion In this paper presented the developed of the transfer learning method for batik generation. Method still having a problem in accommodating user customization to obtain new batik designs. For further development, we are interested in developing a Generative Adversarial Network-based method for generating new batik designs.
Keywords: Style Transfer, Artificial Intelligence, Batik
43 October 30, 2019
CSE-03
Implementation of CCTV in Classroom for Monitoring Activities Learning Teaching in School Based on Raspberry Pi Live Streaming Using Smartphone
Muhammad Amin, Nuiza Ma’ruf
STKIP Surya Tangerang, Banten, Indonesia
Email: [email protected]
Abstract
The development of science and technology has become something that we often encounter today. One of the technologies developed is CCTV (Closed Circuit Television), which was developed for various purposes such as monitoring teaching and learning activities in the school area. The application of CCTV in general requires a large enough fund to implement CCTV such as the application in the school area. This study aims to overcome these problems by implementing a Raspberry Pi-based CCTV that is somewhat cheaper and monitoring can be done live streaming using a smartphone. In addition this study also aims to determine whether Raspberry Pi can be used as CCTV and has good quality like CCTV in general. The research method used is SDLC (System Development Life Cycle) with a prototype model as a model for developing systems and tools. Testing tools carried out by researchers such as covering implementation testing, image quality, CCTV worthiness, prototype, price comparison, and CCTV performance testing. Based on the results of the analysis during the study conducted by researchers on CCTV based on Raspberry Pi live streaming it turns out that Raspberry Pi is able to be implemented as CCTV in the classroom and has good quality.
Keywords: CCTV, Raspberry Pi, Live Streaming, Camera Monitoring, Smartphone
44 October 30, 2019
CSE-04
Logistic Map Implementation for Determining Many Bits in The Least Significant Bit Method for Digital Image Steganography
Nuiza Ma’ruf, Indra Bayu Muktyas
STKIP Surya Tangerang, Banten, Indonesia
Email: [email protected]
Abstract
The development of information technology and the internet has made sending digital data easier. This allows vulnerable data to be manipulated. Therefore, the digital image security method developed in this paper is used as an alternative in securing the image information. Research carried out is to use changes in the number of bits that exist in digital images that are always associated with the increasing complexity of the system which ultimately results in chaos. This chaos theory is a branch of mathematics that studies how to generate random numbers. This chaos theory is very sensitive to initial conditions, it is very useful and can be applied in the world of cryptography as a random key generator that will later be processed as a means of carrying out the encryption and decryption process. The more random numbers are generated, the better the security level of a ciphertext. Furthermore, practical testing is done. Tests carried out for a variety of data in the form of digital images of various sizes. The results of the test analysis practically show that the key space produced is very much larger and the sensitivity level is very much smaller.
Keywords: Chaos Theory, Steganography, Least Significant Bit, Logistic Map, Python
45 October 30, 2019
CSE-05
Application of Forward Chaining Algorithm to Optimize the Use of Classrooms at Matana University
Surya Eka Putra, Simon Prananta Barus
Computer Science, Matana University, Tangerang, Indonesia
Email: [email protected]
Abstract
Matana University (UM) is one of the private university in Indonesia which organizes at least two semesters in a year. We call it as odd and even semester. Before starting each semester, the lecture schedules that have been made by the Head of Study Program must be available to make room / class arrangements of every lecture. Currently, those arrangements at UM made using the spreadsheet application. However, to complete the task takes several days. It will be more complicated if the number of study programs and students increase while the availability of rooms are limited or even when the Head of Study Program must revise the class schedule due to some reasons. To shorten the lead time of these tasks, requires a smart application that work as a room / class management expert. A room organizer must consider the processes and room requirements needed for each lectures, such as room of laboratory, joint classes or not, morning classes or afternoon classes, and so on.
Application development using the Spiral Model. The stages of the Spiral Model consist of planning, risk analysis, development, and evaluation. In developing this smart application, the Forward Chaining algorithm as one of the expert system algorithms in artificial intelligence is applied. Depth First Search method is applied in the Forward Chaining algorithm, the search for a data based on a tree that has been formed and will be traced based on the depth of the tree (tree) of the first branch.
The flow chart of Forward Chaining to manage the allocation of classrooms can be seen in Figure 1.
46 October 30, 2019
Figure 1. The flow chart of Forward Chaining to manage the allocation of classrooms
Room allocation management has several stages to get results that suitable with your needs. There are: a. Input data of lectures schedule and the candidate room b. Take one of the rooms to make a comparison c. Check the facilities needed for the lecture whether it is suitable or not. If it is not suitable, must check another room d. Check the capacity of the room. If the capacity is not appropriate then another room will be rechecked from the room facilities e. If the facilities and capacity are appropriate, that room will be allocated for that lecture f. If there is no room in accordance with the facilities and capacity, the lecture will be marked status of “no a suitable room”
Based on the survey results from BAAK related to the arrangement of lecture rooms, the results can be obtained around one up to two days while using a smart application based on Forward Chaining will be finished not more than 1 minute. It proves the application of the Forward Chaining algorithm can help to optimize lead time of room settings for lectures.
Based on the results of trials, the Forward Chaining Algorithm can be applied to optimize room allocations based on the suitability of needs, capacity and speedy to process large amounts of data. For further development, Forward Chaining Algorithms can be applied for other cases or further optimization by adding a decision-making method which is currently only based on the facilities, capacity and room availability.
Keywords: Optimization Application, Forward Chaining, Expert System, Depth First Search, Spiral Model
47 October 30, 2019
CSE-06
Monitoring and Classification of Water Quality Using Xbee Wireless Communication
Octarina Nur Samijayani, Tyan Permana Saputra
Department of Electrical Engineering, Universitas Al-Azhar Indonesia, Jakarta, Indonesia
Email: [email protected]
Abstract
Water is a natural resource needed by every human being, even by all living things including animals and plants. In Indonesia, there are a lot of residential settlements on the banks of rivers that have poor water conditions. With the Wireless Sensor Network which consists of several nodes, it enables the formation of systems that can send data to each other and can monitor water conditions. The communication tool used is XBee S2C.
In this study three indicators were used to determine water quality based on the Minister of Health Regulation and there were also three nodes where one was the Coordinator and two were Routers. The Router will be tasked to collect the sensor data and send to the Coordinator. Data entered into the Coordinator will be processed and classified into three groups. Group 1 with pH 6.5 - 8.5, turbidity below or equal to 5 NTU, and TDS or total dissolved solids below or equal to 500 mg/l equivalent to 50 ppm. For group 2 with pH 6.5 - 9.0, turbidity is below or equal to 25 NTU, and TDS is 1500 mg/l equivalent to 150 ppm. For group 3 it is certainly outside of the values of the two groups. Data transmission in this study uses API mode and the frame type used is IO Data Sample RX Indicator (0x92). Once sensing one packet containing three sensors data, the data sent is as big as 22 bytes. For sensors performance, error of pH sensors is 2.53%, error of TDS sensors is 2.30%, and error of Turbidity sensors is 10.63%. In this research Xbee can communicate until 110 meters.
By using the Wireless Sensor Network, it is possible to monitor the quality of the water from a distance without the need to take samples and bring them to the laboratory.
Keywords: Classification, Monitoring, Water Quality, Wireless Sensor Network, XBee S2C
48 October 30, 2019
CSE-07
Restovasi: An Artificial Intelligence-based Restaurant Reservation Platform
Hubert Tatra, Max Muljono, Dimas P. Widyatmojo, Fitriaji T. Robbaanii, Permata N. M. Rizki
Software Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
Email: [email protected]
Abstract
Recently, the Restaurant has become more popular not only as the main choice whenever people needs to eat, but also it alters people’s behaviour by becoming the first priority of hangout place. However, most of restaurant reservation is still inconvenient due to the waitress entanglement: traditional reservation (by phone) or direct visit to venue. In this paper, we design and implement Restovasi as an AI-based application to provide real-time and accurate information about seats availability in the process of restaurant reservation. Those information is given automatically by extracting captured image from camera. The seat availability result will be displayed in the mobile apps after the captured image is processed in AWS Recognition platform through AWS Lambda function. By using our work, the waitress’s hassle is reduced and better reservation experience is provided for people in making preferable decision of which restaurant is worth a visit.
Keywords: Restaurant Reservation Application, Artificial Intelligence, Aws Recognition
49 October 30, 2019
CSE-08
Applying Big Data Analytics to Predict Demands of Products Utilizing Regression Method ‒ An Experiment on Local Store Data in Saudi Arabia
Idrees Alsolbi
Department of Information Systems, Umm Al-Qura University, Saudi Arabia
Email: [email protected]
Abstract
Big Data analytics has been recently adopted by organisations to support supply chain management. This adoption has had major impacts on organisations in terms of supporting decision-making processes and facilitating effective supply chain configurations. However, after an organisation obtains predictive analytics to be discussed by managers and suppliers, questions may arise concerning the evaluation of these results. Mainly, in such a manner as to ensure the effectiveness of the analysis. What can predictive analytics do to help in this decision-making process? With regards to supporting decision-making processes, a linear regression model has been designed to provide a predictive analysis for a supplier of dates products in Saudi Arabia. The model achieved 88% accuracy, which indicates an effective performance in terms of enhancing the process of making decisions in that organisation. Although this data mining approach performed well, this approach is not the only one that could have been utilized. Decision trees is another approach that works well in predictive analyses. Further, a questionnaire was given to decision-making system utilizers to investigate the advantages of predictive analyses in supply chain management. Thus, supply chain operations performed effectively on the forecasts of Big Data.
Keywords: Big Data Analytics, Supply Chain, Linear Regression, Predictive Analysis
50 October 30, 2019
CSE-09
Shopping Center Location Recommendation System in Bengkalis Using Haversine Method Based On Android
Susilawati, Mansur Basri, Kasmawi
Informatics Engineering, State Bengkalis Polytechnic, Bengkalis, Riau, Indonesia
E-mail: [email protected]
Abstract
Bengkalis Regency is a regency in Riau Province, Indonesia. Its territory includes the eastern mainland of the island of Sumatra and the islands, with an area of 7,793.93 km². Bengkalis Regency has a very strategic location because it is traversed by international shipping lanes leading to the Malacca Strait. Bengkalis is also included in one of the Indonesia Malaysia Singapore Growth Triangle (IMS-GT) and Indonesia Malaysia Thailand Growth Triangle (IMT-GT) programs. Business in Bengkalis is currently growing faster in many sectors, especially shopping centers. People have many choices of shopping centers to visit since the emergence and development of shopping center businesses. Providing a shopping center location recommendation system to support customer decision making based on the smallest distance has become one of the most important research. The Haversine formula is an important equation in the field of navigation to find the distance of an arc between two points on the ball from longitude and latitude. This formula will be used in calculating the distance between two GPS points. By using the Haversine formula, if the user's location information can be known, the distance between the user to the shopping location can be calculated. Mobile devices, such as Android smartphones, have become the main platform for users to get information. Integration between cellular applications, which use GPS sensors to provide the user's current location and haversine method, may be able to support the decision- making process. In this research, we made an application to provide a shopping center location recommendation using the Android-based haversine method. This application provides several shopping center locations with the smallest estimated distance and time towards the user. With this application, visitors can get information about the location of the nearest shopping center in Bengkalis. This application is expected to increase the tourism sector in Bengkalis and to encourage regional development.
Keywords: Haversine Theorem, Android, Application, System, Shopping Center, Location
51 October 30, 2019
CSE-10
Evaluating E-commerce Website: Lesson from Shopee Website
Ni Made Ananda Ayu Permata
Software Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
This paper aims to present an evaluation of e commerce site, Shopee, which are conducted through usability testing. The purpose of the test was to assess the usability of the web interface design, flow, and information architecture of e-commerce Shopee. There are 10 participants who used Shopee at least once this year that live in The Icon Housing. In order to have a clear and good result, researcher decided to do a direct usability testing. Participant will get the same situation as other participants, like get same task and scenario, answer the same test, and use the same facilities example same laptop, wifi connection, and cozy place. There are really clear instructions in every part of the test to make sure participants know everything they need to do. On Shopee website, participants can complete the task given and feel the experience direct on that time. The researcher used the stopwatch in order to count the time spent by each participant in each scenario. Then participants answer the question about their experiences uses the “crazy egg” website. In general, all participants found that shopee.co.id website to be clear, straightforward, and 100% successfully complete the tasks given, and 70% thought the web site was easy to use. The test identified a few problems including:
The lack of organization of product display on the pages. Confusion over apparent ads and other unnecessary information. Difficulty of new user find product and do the payment.
The result of user success rate, the ease or difficulty of completion rate, error rate, time on task, satisfaction rate, participant feedback, and recommendations for improvements have been discussed in this paper.
Keywords: Usability Testing, E-Commerce, User Experience
52 October 30, 2019
CSE-11
River Monitoring System for Watershed of Brantas River Using IoT Technology
Muhammad Aziz Muslim1, Raden Arief Setyawan1, Achmad Basuki2, Angger Abdul1 Razak, Retno Wahyu Widyanto3
1Electrical Engineering Department, Brawijaya University, Malang, Indonesia 2Informatics Department, Brawijaya University, Malang, Indonesia 3Information and Communication Technology Unit, Brawijaya University, Malang, Indonesia
E-mail: [email protected]
Abstract
Brantas River is the second-longest river in Java island after Bengawan Solo located in East Java. The length of the main river is 320 km flows around a still active volcano, Kelud Mountain. The Brantas River has a watershed which covers around 25% of the area of East Java Province. The main problems in the Brantas river watershed are surface water fluctuations marked by drought in the dry season and flooding in the rainy season. Also, the condition of the Brantas River water flow was constrained by sediment deposits resulting from the eruption of Mount Kelud. This condition is exacerbated by the lack of awareness of some people who throw garbage into the river. Garbage in the Brantas river has a significant contribution to sea pollution around the Madura Strait. To overcome these problems, a monitoring system in the Brantas river watershed is needed as part of the disaster early warning system in the Brantas river watershed.
Figure 1. Appearance of the river monitoring website
53 October 30, 2019
This paper proposes a monitoring system in the Brantas river watershed using the Internet of Thing (IoT) technology. The combination of IoT components, namely smart sensor devices with wireless sensor networks (WSN) will provide more comprehensive information on the conditions that occur. By placing sensors in various locations, the Brantas river watershed information obtained will be more comprehensive and provide more accurate data for further analysis. In this study a river monitoring system was developed using a water level sensor, flow velocity and a camera. Camera sensors are used to detect river pollution due to garbage. The water level sensor is developed based on the principle of capacitive sensor, where the capacitance will change with changes in water level. While the water speed sensor was developed using a water wheel. The rotation speed of the wheel will be correlated with the speed of the river water flow. The mechanism used to detect river pollution using a camera is to compare the ideal conditions of river sightings with current conditions. From this comparison, it can be seen the level of turbidity of river water, and the percentage ratio between water and garbage for the observed area. In this study, two sets of sensor nodes are used for testing the system. Information on river water level conditions, flow velocity and river pollution conditions is sent to the data center for further processing. The results of monitoring and analysis of river conditions are displayed on a website so that it can be accessed directly by all interested parties.
System testing is done in terms of hardware and software. Stages of hardware testing are carried out to test the functional and communication capabilities of each sensor node. The results of the water level sensor test indicate that the measurement accuracy level is excellent (above 90%) while the water flow velocity sensor has a good accuracy level (above 80%). The camera sensor can only work during the day when lighting is sufficient. Software testing is carried out on an algorithm that has been developed to detect the level of river pollution and the appearance of the river monitoring website interface. The algorithm thrived recognizes the waste that goes along with the flow of the river with very good accuracy (above 85%). An algorithm was also developed to determine the status of the observed river based on information from several installed sensors. Figure 1 shows overall river monitoring appearance on the website. From the results of interviews with stakeholders, the status given is in accordance with the needs of the system. From the results of these tests it can be concluded that the system that was built has functioned well and can be used as part of an early disaster detection system in the Brantas river watershed area.
Keywords: River Monitoring System, Iot Technology, Water Level Sensor, Flow Velocity, River Pollution
54 October 30, 2019
CSE-12
User Experience Testing ‒ A Case Study of Traveloka
Baihaqi Saputra
Software Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
This paper discusses an evaluation of Traveloka’ Website using usability testing. The test aims to examine the responsiveness of the design and to measure the ease of use aspects. The testing was conducted through survey monkey platform. The test consists of two testing groups: the first one aims to explore and measure the user journey in finding traveling ticket without any filters. The second aims to explore and measure the user journey in finding a filtered travelling ticket. While participant doing the test, it asking directly to open the website of Traveloka. The result shows that 60 until 70 percent of participants can accomplish the task easily. They also correctly follow the instructions. Without any filter, participants need less than 15 second to find the tickets. Then, the participants needs 15-30 seconds for the second task. The research shows that Traveloka has a good user experience in terms of ease of use for any background of user.
Keywords: Usability Testing, User Journey, Design
55 October 30, 2019
CSE-13
Finding Love: A Game Based On ALEXA
I Putu Krisna
Software Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
This paper shows the design of Alexa custom skill to play a simple game that aims to find a partner in accordance with the personality and criteria desired by Alexa users. The existence of this program is expected to provide a new experience for Alexa users who still do not get a partner in context through simple games. Finding Love with Alexa is made using the Alexa developer console combined with AWS lambda python which are linked using each other's endpoints. The Alexa developer console is used to create Alexa custom skills in accordance with the framework provided. While AWS lambda python functions as the server side of the program when the skill is run on an Alexa device. When the users open the Alexa skill with an invocation words, Alexa device will trigger AWS lambda python to give a response based on what user says. Responses will be sent to Alexa developer console and then converted to voice that will be said by Alexa device. With this Alexa skill, Alexa users can fill their free time to find their partner according to the criteria the user wants. At the end of the program, Alexa will suggest the appropriate pair available in the program.
Keywords: Finding Love Game, Alexa, Personality
56 October 30, 2019
CSE-14
A Design of Voice Service Interactive Quiz Application
Ni Made Ananda Ayu Permata, Permata Nur Miftahur Rizki
Software Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
Naturally, most new university students use traditional way in absorbing new knowledge of their university by asking the sources information: face to face talking directly to the university’s officer or senior students. This method become ineffective since the source information needs to handle hundreds of students in a specific period of time. This paper presents an overall design to build an interactive quiz application as a new way to learn new information for hundreds of new students in the university environment. Our application is enabling automated interactive question and answer regarding specific information on campus. Here, student needs to listen some statements about university, and requires to justify whether the statement is true or false through Alexa Voice Service. The score result is given to measure the level of student’s knowledge. The more explanation information will be given after each statement delivered. As implementation, our application is adopted for the new student registration phase in Universitas Prasetiya Mulya.
Keywords: Interactive Quiz, Alexa Voice Service, Learning, University
57 October 30, 2019
CSE-15
Does Social Media Usage Make People More Vulnerable to Disinformation: Lessons from Indonesian Elections 2019
Stevanus Wisnu Wijaya
Software Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
Following the digital infrastructure enhancement across the country, internet access become more affordable in Indonesia which impact on increasing the number of social media users throughout the country. During a democratic event such as elections, social media usage increases significantly as this platform enable politicians and their party to interact easily with public. Social media can facilitate distribution both of textual and visual information easily which could impact to user’ subjective understanding of the object. At the other side, modifying text, image and video for the benefit of certain parties can be easily conducted, then distributed widely through social media platform. Then, exposure to social media could drive people to experiences various disinformation which potentially drive controversy and polarization within the society. Learning from Indonesian elections 2019, this paper discusses what kind of political disinformation distributed during the democratic event, and in what way political disinformation distributed widely through social media in Indonesia. Using social media analytics approach, this paper contributes to a better understanding of political disinformation and its impact to the society.
As the number of social media users in Indonesia increase significantly, therefore information/disinformation sharing through social media is a common practice of Indonesian netizen. Likewise, during the Indonesian elections 2014 and 2019 in which the same candidates of president is participate, those democratic events in Indonesia is particularly at a risk of the spread political information/disinformation, for instance fake news and hate speech threat the democratic events and impact to society polarization which potentially trigger social conflicts. Recently, conventional wisdom of the impact of disinformation to the Indonesian society is published on journalistic reports in mainstream media. At the other hand, there is lack of scientific evidence which provide in depth understanding on information/disinformation spread in Indonesia during those democratic events. Considering the background, therefore this research aims to categorize political information/disinformation spread within online communities of Presidential candidates hosted in Facebook and its impact to society polarization.
58 October 30, 2019
Using time series data of President candidates of 2014 and 2019 elections, we will examine the content, the actors in online communities, the way that information/disinformation are distributed through Facebook and the polarization of the online communities as impact of information/disinformation spread. In particular, we aim to address the following research questions:
1) What kind of political disinformation are distributed through social media platform? 2) Who is the producer of political disinformation? 3) In what ways disinformation distributed through social media? 4) How does political information/disinformation affect to citizen polarization?
In this research, we will use a combination of analysis methods including content analytics, sentiment analytics and networks analytics. We will explore and examine online conversation data from the contestant of 2014 and 2019 Indonesian presidential elections. At theoretical level, this research will contribute to an enhanced understanding of information/disinformation in social media affect to the democratic process. At practical level, this research will provide insight for professional and policy makers who work in the related sector.
Keywords: Social Media, Political Disinformation, Hoax, Analytics
59 October 30, 2019
RENEWABLE ENERGY ENGINEERING SESSION
60 October 30, 2019
REE-01
Synthesis of Zn Dross to Zinc Acid Using Hydrometallurgy Method
Beta Riana Liasari1, Muhamad Ikhlasul Amal2, Lina Jaya Diguna3
1Research Centre for Physics, Sriwijaya University , Bld. 440/442, PUSPIPTEK Serpong, Tangerang Selatan 15314, Indonesia 2Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, PUSPIPTEK Tangerang Selatan, Banten 15314, Indonesia 3Department of Renewable Energy Engineering, Prasetiya Mulya University, Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Tangerang 15339, Indonesia
E-mail: [email protected]
Abstract
Zn dross has special characteristics that are beneficial to the industry, such as low conductivity, good heat resistance and corrosion resistance. Zn dross is used as a catalyst support to form nanoparticle sizes. In this study using the hydrometallurgy method which is then carried out Zn dross leaching process with CH3COOH solution.
The steps that were carried out for this research were the dilution of CH3COOH solution with concentrations of 2 M, 4 M and 6 M, the leaching process, and the dripping of
NH4OH solution until it was clear to form a precipitate. Three important things in this study that need to be considered are variations in mole concentration, temperature and time. The results of the leaching process Zn (CH3COOH)2 identified the optimum 0 conditions at 90 C with 120 minutes in which the ratio of Zn dross powder to CH3COOH (1:10) was 50 ml. Leaching results are filtered to separate the filtrate and residues that precipitate, then the filtered filtrate is dropped with NH4OH solution form precipitate with pH control 9. Based on XRD, SEM and EDX analysis results show the formation of Zn
(CH3COOH)2
Keywords: Hydrometallurgy, Leaching, Acetic Acid, Zn Dross
61 October 30, 2019
REE-02
Challenges in the Future Application of Hydrogen Energy in Indonesia
Gede Herry Arum Wijaya, Fidelis Stefanus Hubertson Simanjuntak
Renewable Energy Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
Limited supply of fossil fuels is a threat to all the population in the world because all activities depend on energy, especially in Indonesia because of the intense in development and economic growth. Until now, fossil energy is still the dominant source of energy throughout the world and in Indonesia as well. In recent years, almost all countries in the world have developed renewable energy technologies. In its application, there are still some obstacles such as efficiency, dependence on climate because it is sourced from nature, and still produces emissions, although small. Therefore, alternatives are needed other than renewable energy sources that are commonly used. Hydrogen energy comes as a solution in addition to other renewable energy sources. Hydrogen is a diatomic gas that is flammable and is the lightest element in the world. It has its own uniqueness where the emission is very clean, which is H2O. In addition, hydrogen can be produced easily by electrolyzing water. The use of hydrogen energy is very diverse, such as fuel for vehicle, electricity for people’s needs, and industry powerplant. Utilization of hydrogen energy as fuel in vehicles has been implemented in several countries such as China, Germany, UK and Australia. One example of transportation that already uses hydrogen energy is Coradia iLint trains in Germany. Several other countries such as Denmark, Norway, Italy and Canada are interested in using this hydrogen-powered train technology. UK also has its own hydrogen train, namely The HydroFLEX. Even Japan has prepared its country to become a Hydrogen Society. In achieving this, Japan has begun to import hydrogen energy supplies from Brunei Darussalam and Australia. Hydrogen is produced from the excess of natural gas liquefied by chemical reactions, transported by ships with ambient temperature and pressure towards Japan. In the 2020 Olympics, Japan will start implementing hydrogen- fueled transportation such as hydrogen buses. For utilization as raw material for large- scale power plants, the economic and technological feasibility are still calculated. Hydrogen itself is not available in nature directly. Processes are needed to produce hydrogen, where there are several methods, namely thermolysis, pyrolysis, gasification, and electrolysis by breaking down the structure of water. The hydrogen production method currently being developed is the water electrolysis process. However, this method requires electricity as an energy source to break down water molecules. Researchers are still developing alternative methods to produce electricity with environmentally friendly sources as a source of electricity in the electrolysis process, such as renewable energy sources.
62 October 30, 2019
Another method is pyrolysis which produces hydrogen from the thermochemical decomposition process in the absence of oxygen. Organic materials that can be in the form of waste will become syngas products, one of which is hydrogen. In this paper we will discuss in more depth about the most suitable production methods to be applied in Indonesia in terms of resources and technology availability. In addition, it will be discussed in terms of the economic and socio-environmental impacts of implementing various methods. Some studies have also discussed the hydrogen storage system. Storage system becomes very important because it is related to the safety of using hydrogen energy, considering that hydrogen is a flammable gas. The author will continue to make quantitative research on hydrogen production methods that are most suitable for use in Indonesia according to the discussion in this paper. With this paper, readers are expected to know the challenges that will be faced when hydrogen energy is applied in Indonesia.
Keywords: Hydrogen Production, Renewable Energy, Socio-Environmental Impacts
63 October 30, 2019
REE-03
Techno Economy Study of Chemical Zinc Oxide Synthesis from Zinc Dross Waste
Charis Achmad Tajuddin1, Beta Riana Liasari1, Agus Sukarto Wismogroho1, Wahyu Bambang Widayatno1, Retno Kusumaningrum1, Lina Jaya Diguna3, Muhamad Ikhlasul Amal2
1Research Center for Physics, Indonesian Institute of Sciences, Tangerang Selatan, Indonesia 2Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, Tangerang Selatan, Indonesia 3Renewable Energy Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
Automotive is one sector that uses zinc metal as the main material for casting and galvanization processes. This metal has a low melting point and good fluidity which makes it one of the choices in the automotive industry. During the galvanization process, zinc which does not form a layer on steel is mixed with iron and accumulates in the disposal section. The mixture of iron and zinc is recycled again with Electric Arc Furnace (EAF). Zinc evaporates quickly at the beginning of the process and is collected in EAF dust which is then referred to as Dross Zinc. Dross is mostly composed of Zn metals, some Zn-oxides and impurities in small amounts such as Fe, Si, Al, Cu. Some research has been done on extracting zinc from dross zinc both pyrometallurgically, hydrometallurgically, and biometallurgically. One of the studies have been done discusses the process of recovering zinc metal by the hydro-electrometallurgical method.
The process starts from roasting at 700˚C, leaching with H2SO4, and electrowinning. The study examined the effect of leaching and electrowinning parameters on the zinc metal recovery process. The results of this study indicate that the optimal parameters occur at
2M H2SO4 leaching concentration and electrowinning temperature at 25˚C at a current density of 2000 A/m2. These parameters produce a current efficiency of 91.57% and zinc metal purity of 77.68%. In addition to the above studies, several studies regarding the recovery of zinc metal from zinc dross have been carried out. In this research, the method of recovering zinc metal is studied in the form of metal oxide, namely zinc oxide. A need to find a way to be able to extract zinc metal from zinc dross as effectively and efficiently as possible, so that the zinc metal production process can run with maximum potential and be able to meet the demand for zinc metal which will continue to increase in the future. Construction of an integrated plant for recycling zinc metal is a very large investment, and will only be undertaken where it has ‘economic feasibility’, i. e. where the desired return on investment is reliable and not subject to strong risk. The predictable availability of reliable input streams is also a key determinant for how plants are set up. There is also the question of what would be the smallest capacity of the plant that is still economically viable. This paper explains the study of combined process modelling (thermodynamic, mass and energy balance) and techno-economic analyses to evaluate and estimate the cost for zinc metal recovery from zinc dross.
64 October 30, 2019
Hopefully, the paper provides a decision support tool for recyclers towards end-of-life strategies for zinc dross. The techno-economic evaluation was performed through a twostep methodology comprising of a process simulation followed by an economic analysis. The process simulation was carried out by developing a detailed flowsheet of a processing of zinc metal recovery. The detailed flowsheet and the mass and energy balances were developed. The distribution of various elements in the phases in the various streams (molten metal, off gas and slag) was modelled and predicted from the equilibrium calculations. It is worthwhile to note that the elements distributions were predicted from thermodynamic calculations and could be different to the actual process. In the actual recycling process, kinetic parameters such as temperature, concentrations, tank geometry and flow patterns can significantly affect the distributions and final recovery of zinc metal. Nevertheless the values presented in the current study provide the limiting conditions which are based on a rigorous fundamental basis. The outcome of the study confirms that the zinc metal recovery process embedded in the considerable potential value and, therefore, should be taken into consideration. It has been shown that increasing the plant annual production capacity has substantial influence on the cost to benefit ratio and the internal rate of return (IRR) of the process. It was also found that the minimum plant capacity for the process to be still economically viable is 100 tonnes/annum
Keywords: Dross Zinc, Recovery Zinc Metal, Hydrometallurgy, Economic Analysis
65 October 30, 2019
REE-04
Potency of Natural Pigment in Red Cabbage as Light Harvester
Muhammad Bilal Athallah, Altion Markoli, Dennis Caesar Haberth, Puji Sakinah Marinda, Sri Wahyuning Puji Ayu Lestari, Lina Jaya Diguna
School of Applied Science, Technology, Engineering, and Mathematics Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
Natural color pigments are easily found in Indonesia, for example, Anthocyanin contained in red cabbages. This Anthocyanin has unique properties, in which it could change its color when pH is changed. The color of pigment is originated from the wavelengths of light that are not absorbed by the pigment. Hence it is necessary to determine the optical absorption of the pigment. In this study, the anthocyanin from red cabbage was extracted and its optical absorption was characterized at different pH levels by using UV-Vis Spectroscopy. It was observed that Anthocyanin has optical absorption at visible region and as pH level increase from 1 to 12, the absorption peak shifts to the longer wavelength. From this study, it can be concluded that Anthocyanin has the potential to be a visible light harvester at this pH range.
Keywords: Natural pigment, Light harvester, Visible light, Optical absorption
66 October 30, 2019
REE-05
Heat Transfer Distribution over Absorber Plate of Delta Winglet Rib Roughened Solar Air Heater
Amit Kumar, Apurba Layek
Department of Mechanical Engineering, National Institute of Technology Durgapur, India
E-mail: [email protected]
Abstract
This paper presents the experimental investigation on the recent development of the optical technique based on liquid crystals thermography (LCT) technique which is known to be an important tool to obtain surface temperature distribution and evaluation of heat transfer coefficients of a channel using artificial rib roughness. The LCT technique uses thermochromic liquid crystals, an organic material applied on the heated surface in order to get the color response on the basis of temperature changes. The objective is to get the Nusselt number distribution over the artificially roughened surface with a uniform heat flux. The parameters considered encompasses relative roughness pitch (P/e) values of 6 - 10, angle of attack (α) of 45o - 75o, width ratio (W/w) values of 4 - 6 and Reynolds number (Re) ranges from 13500 - 20500. Nusselt number obtained for the optimum roughness condition using roughened surface is compared with that of smooth duct with the same operating condition.
Keywords: Solar Air Heater, Nusselt Number, Winglet Ribs Roughness, Liquid Crystal Thermography
67 October 30, 2019
REE-06
Structural, Optical and Impedance Analysis of PVP-Capped PbS Nanoparticles Synthesized via Microwave Irradiation
Maharaz Nasir1, Halimah Kamari2
1Federal University Dutse, Jigawa State, Nigeria 2Universidad Politécnica de Madrid, Madrid, Spain
E-mail: [email protected]
Abstract
Different sizes of Polyvinylpyrrolidone (PVP)-capped PbS nanoparticles are synthesized using microwave irradiation method. The FTIR analysis confirmed the dispersion of PbS nanoparticles in PVP with C=O and C-N bonds. The resulting PVP-capped PbS nanoparticles have average particle sizes of 23.4 to 52.2 nm. From the UV absorption, a strong blue-shift with decreasing in particle sizes were obtained, which is attributed to the quantum confinement effect. The mechanism that influenced the solvents and irradiation time for the formation of the PbS nanoparticles were discussed. The dielectric properties of PVP-capped PbS nanoparticles are studied in the different frequency range of 40 Hz to 1MHz at a constant temperature of 303K. The frequency dependence of the real and imaginary dielectric constant is found to decrease with increase in frequency. For the impedance analysis, the results show the decreases of semicircles gradually with increasing particle sizes which indicated the influence of band gap energy in the conduction process. The value of AC conductivity increases as the particle sizes of the nanocomposites are increased this is a direct confirmation of the Elliot’s theory.
Keywords: Nanoparticles, Lead Sulfide, Microwave Irradiation, Polyvinylpyrrolidone, Impedance Analysis
68 October 30, 2019
PRODUCT DESIGN ENGINEERING SESSION
69 October 30, 2019
PDE-01
Fuzzy Analytic Network Process to Explore Design for Sustainability Strategy in Furniture Industry Ezra Peranginangin
Universitas Agung Podomoro, Jakarta, Indonesia
E-mail: [email protected]
Abstract
Implementing design for sustainability principles required effective strategy in industrial domain. Furniture industry exposed with intensive resources while design for sustainability encourage various criteria meet environmental salvation. This research aims for structuring measuring the weights of design multi-criteria relevant to furniture industry for determining strategic criteria for establishing strategic design for sustainability. Stakeholders of furniture industry have focusing sustainability effort in term of manufacturing process, materials, and also supply chain. Experts from furniture designer are invited to be the respondents of pair comparison questionnaire. The data from the questionnaire then being analysed using Analytic Network Process (ANP). This research contributes on extending the strategy of design for sustainability (DfS) in furniture industry which recently still focusing on criteria. Understanding the network including weights of criteria would discovering the priority and alternative of DfS in furniture industry in general.
Keywords: Analytic Network Process (ANP), Design for Sustainability Strategy, Multi- Criteria Decision Making
70 October 30, 2019
PDE-02
Robots & Religion: A Critical Review of Technological Receptivity in Buddhist Society and Practice
Aulia Ardista Wiradarmo1, Regisda Machdy Fuadhy2
1Department of Product Design Engineering, Universitas Prasetiya Mulya, Indonesia 2Department of Psychology, Universitas Surabaya, Indonesia
E-mail: [email protected]
Abstract
Innovation in technology is a common part of today’s society. Besides advancement in manufacturing, financial service, health, or education, as a meaning-making creature, humans cannot be separated from religion and spirituality. However, the combination of technology and religion is often seen as a mismatch because of conservative doctrine, thus inhibits the development of technology that may aid our spiritual needs. On the contrary, the Buddhist communities in Japanese and China are adapting to the cultural shift and integrating technology, in this case, robots, with their religious practices.
Considering this, it is interesting to further examine it. The purpose of the paper is to unveil the reason behind the technological receptivity and examine the differences that it may have with other religious teachings in Western culture. It also explores how the Buddhist communities in Japanese and China utilizes robotics, their perceptions, and the benefits that they gained from the usage of technology.
The paper presents a critical review from several research papers related to robotics, artificial intelligence, Eastern culture, Buddhism, and the relation between them. From the groundbreaking uncanny valley theory of Mori [1] to the more recent theories in technological animism [2] and theomorphism [3] will be covered by the paper. Moreover, it draws examples from robots that are used in Buddhist rituals or inspired by Buddhist mythology to provide a better understanding. It examines and compares the design of Mindar, Pepper, Xian’er, and Daruma TO-2 robot.
In general, there are different views in Western and Eastern culture towards robotics. While the Western often depicts an apocalyptic scenario related to robots or considers them as slaves (othering), Eastern culture views them as an equal partner. It is revealed that the positive outlook towards robotics in Japanese and China is rooted in animism and Buddhist philosophy that appreciate both animate and inanimate beings. Besides, the notion of iconoclasm and blasphemy is not prevalent in the society. These deeply held beliefs then shaped the moral compass and widely accepted ethics in technology. Psychologically, it influences the portrayal of robots in fiction works such as cartoon and comics as kind and helpful members of society that further strengthen the receptivity in the younger generation.
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Change is inevitable. In the future, technology may transform the way we perform religious practices without forsaking the essence. Nevertheless, the receptivity in each culture may differ, hence developers must consider the social and cultural aspect. To implement the technology well, a discussion on cyberpsychology is needed to design a human-centred robot that is not only high-tech and sophisticated but also solving the problem and adaptable with daily life. With this approach, creators will be able to minimize the undesired negative impacts of technology and understand the technological readiness level of the target user.
Keywords: Human-robot Interaction, Robotics, Artificial intelligence, Buddhism, Cyberpsychology, Product Design
References [1] Mori, M. (1970). “The Uncanny Valley.” Energy, 7(4), 33-35 (in Japanese). [2] Richardson, K. (2016). Technological Animism; The Uncanny Personhood of Humanoid Machines. Social Analysis, 60(1), 110-128. [3] Trovato, G., De Saint Chamas, L., Nishimura, M., Paredes, R., Lucho, C., Huerta- Mercado, A., & Cuellar, F. (2019). Religion and Robots: Towards the Synthesis of Two Extremes. International Journal of Social Robotics, 1-18.
72 October 30, 2019
PDE-03
Design of Longitudinal Altitude Holding Control System (LAHCS) of Wing in Surface Effect (WiSE) Air Vehicle
Muhammad Nanda Setiawan, Leo Parytta, Evan Rizky Suryana Nur, William Andaro H
Department of Physics-Energy Engineering, Surya University, Tangerang, Indonesia
E-mail: [email protected]
Abstract
Wing in Surface Effect (WiSE) vehicle is potentially applied on marine surveillance mission in Indonesia. This vehicle gather the benefit from ground effect which improving the aerodynamic efficiency (lift to drag ratio). The highest lift to drag ratio means reducing on fuel consumption. In order to maintain benefit from the ground effect, WiSE vehicle need to fly near the surface. This paper discussing the development of longitudinal altitude holding control system (LAHCS) of WiSE vehicle to ensure its altitude always near the surface. The control system is designed using pole placement method by adding feedback gain control. The origin system shows unstable response on longitudinal direction, which is indicated by one positive value of its Eigen (-3.2710, -0.7517, -0.5616, and 0.2765). After pole placement method is applied, all Eigen value are negative (-4, -2, -2, and -0.8) and the system is stable on longitudinal direction. The control system can maintain the reference command altitude with settling time, maximum overshoot, and steady state error are 3 seconds, 3%, and 0% respectively. Moreover, the feedback gain from pole placement method are 0.0406, 0.0034, -0.1241, and -0.5247. In conclusion, the pole placement method successfully maintain the altitude of WiSE air Vehicle.
Keywords: WiSE, Longitudinal Altitude Holding Control System, Eigen Value
73 October 30, 2019
PDE-04
Computer-Aided Engineering in Medical Devices Design: Future Outlook
Willyon Pratama, Zaki Saptari Saldi
Product Design Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
Medical devices are important pillars in healthcare -- they support human well-beings by treating patients and even saving lives. They are also important in driving the economy, with a global market size of around USD 425 billion in 2018. In line with the world population growth, the market value of medical devices is projected to reach around USD 600 billion by 2025. Looking into the future, the global health circumstances are likely to be affected by climate change, shifting of lifestyle, new epidemics pattern, and other factors. At the same time, advances in technology will still be a key enabler for future products, including medical devices. Based on the current evidence, it is thus interesting to foresee how medical device industry will innovate and adjust to the global health dynamics by harvesting the cutting-edge capabilities offered by technology.
Irrespective of their large variation in type, purpose, characteristics, and target market/users, performance of medical devices is essential for a successful patient treatment. Innovation in high-quality medical devices has been typically supported by a powerful engineering tool, i.e. Computer-Aided Engineering (CAE), similar to many other functional/technological products. CAE is manifested as a software that runs on modern computers. It allows physics-based simulation, visualization, and analysis of variables difficult or impossible to obtain using analytical calculations and experimental measurements. It can handle problems with strong non-linearity and unsteadiness, hence crucial in the prediction of product performance.
The purpose of this paper is to provide a perspective on how CAE will play increasingly major role in future design and development of medical devices. In this context, a number of recent prominent medical devices developed using CAE is first evaluated based on the study of scientific papers published in the last 5 years and non-scientific articles/reports in the last 3 years. The role of CAE in improving design and delivering effective and efficient functionalities of these products is highlighted. To simplify the wide range of CAE, the evaluation in this paper is only limited to four aspects, i.e. geometry modeling, topology optimization, structural analysis, and flow analysis.
74 October 30, 2019
Based on the current status, the potential application of CAE in consideration of two external factors, i.e. user needs and emerging technologies, is further discussed. From the user needs perspective (UN), the discussion takes into account the scenarios of mass-manufactured devices and customized or patient-specific devices. With respect to the emerging technologies (ET), the potential of CAE combined with artificial intelligence, rapid prototyping, virtual technology, and large-scale computing is explored. Mapping among the evaluated CAE aspects and the external factors is performed to identify the maturity level of any CAE-UN-ET combination.
This study led to a conclusion that the existing CAE capability today has positively impacted innovative design and development of mass-manufactured medical devices. Yet, CAE utilization in development of low-volume patient-specific devices is still currently limited and will highly depend on the emerging technologies (artificial intelligence, rapid prototyping, virtual technology, and large-scale computing) in the future.
Keywords: Computer-Aided Engineering, Product Design, Engineering Design, Medical Devices
75 October 30, 2019
PDE-05
Bridging Designer and Tailor with Mobile Application
Stanley Wyatt Adema
Software Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
Clothes plays an important role in human life. As all humans need to wear clothes everyday and clothes is part of fashion in which the fashion industry in Indonesia is a promising industry. Since the 1970s, textile, garment and shoes industry has always been developing in Indonesia and they have become the most significant contributions to the country’s economic According to the rapid growth of technology, we wish to come up with an application which provides the communication between the designer or the customer and the tailor. In this application, the designer can upload the clothes that has been designed in which the quantity, size, color, and material of the clothes are uploaded on the application. All the tailors in Indonesia then can open the application and bid the price that they think is suitable for making that design into a reality. The designer or the consumer then can look at all the bids that has been made by the tailors and can choose which one is the most suitable tailor for them. When the designer or customer have made a deal with the tailor, an agreement is sent to both the designer and the tailor. Hence, this application basically connects the designer or customer, to all the tailors in Indonesia.
Keywords: Clothes, Tailors Designer, Application
76 October 30, 2019
PDE-06
Initial Study: Ultrasonic Waves Application for Fruits Inspection
Nurmalia
Product Design Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
Purpose This study aims to use ultrasonic wave for tropical fruit nondestructive inspection. The first fruit to be studied is mango, one of the most consumed fruit in Indonesia. It is expected that ultrasonic wave at least can be used to evaluate ripeness of the fruit, which highly correlates with its firmness and sugar content, and to determine the size of its seed. Final goal of this study is to build an inspection system that can evaluate the whole fruit nondestructively. The study begins with evaluating the propagation behavior of the wave in mango fruit’s tissues of various ripeness levels. The ripeness level is determined by measuring the sugar content with a hand-held refractometer, which is capable of measuring %Brix. This is a common unit to indicate the sugar content in an aqueous solution.
Methods Ultrasonic wave is acoustic wave, hence mechanical wave, with frequency above the audible range. Properties of the wave such as traveling speed and attenuation are subjected to alteration by condition of the medium where it propagates. This alteration is then can be used to inferred the physical and chemical parameters of the medium. For that reason, ultrasonic technology has been applied in medical diagnostic, industrial processes and inspection for decades. One important advantage of using ultrasonic wave for inspection is its ability to evaluate the entire thickness of the medium, as opposed to some counterpart techniques which is only capable of surface inspection. After many years, the technology began to appear in the food industry and later is used to evaluate the quality of fruits as well.
Ultrasonic wave is commonly generated by taking advantage of the piezoelectric and anti-piezoelectric effects of some materials in a device called a transducer. Applying pressure to these piezoelectric materials will produce electric signal. On the other hand, when an electric signal is connected to the materials, mechanical vibration of the same frequency as the electric signal will be generated. This vibration is then transmitted to the inspected object where it propagates along the object. Two alternative transducers capable of generating the wave in metal material are recently available; the electromagnetic acoustic transducer (EMAT) and magnetostrictive transducer.
77 October 30, 2019
In general, there are two methods of ultrasonic measurement: pulse-echo and through- transmission methods. In pulse-echo method, a single transducer capable of transmitting and receiving the wave is used. Ultrasonic wave is propagated in the inspected object, any change in the properties of the medium, such as thickness differences, presence of a void or crack, will cause a portion of the wave to be reflected back. The reflected wave is then picked up by the same transducer. On the contrary, two transducers each serves as transmitter and receiver are used in a through-transmission method. The transmitter launches the wave into one end of the inspected object. The propagating wave is then received in the other end of the object by the receiving transducer.
Figure 1 shows the typical ultrasonic measurement setup for a through-transmission method. Special equipment called pulser-receiver is the heart of the system. A couple of transducer is used as transmitter and receiver. The pulser sends a driving signal to the transmitter, where it is converted into a mechanical vibration of the same frequency. Frequency of 60 KHz is used in the current study. The vibration is transmitted into the sample and propagates along the thickness of the sample. The propagating wave is then detected by the receiver and converted back into electric signal. The received signal is sent back to the pulser-receiver for signal processing. The received waveform is also displayed in the digital oscilloscope with USB connection for data recording.
Figure 1 Typical ultrasonic measurement setup
Results Several samples of fruit’s fleshes taken from mangoes with various level of ripeness were prepared. A portion of the flesh was crushed into a solution for Brix measurement, and the remaining was used as a sample for ultrasonic measurement. Figure 2 shows received waveforms obtained from two samples of different %Brix. Figure 2(a) was taken from the measurement of unripe sample with % Brix of 8, while Fig.2 (b) is from a ripe sample having %Brix of 18. The two waveforms exhibit obvious differences. Ratio between amplitude of the driving signal and the maximum amplitude of the received signal is 1.2 and 1.7 for the young and ripe mangoes, respectively. This finding indicates that the wave is more attenuated in ripe fruit compared to the unripe. The traveling velocity in each sample was determined by measuring the thickness of the sample and the arrival time of the first peak indicated by arrows in the figure. It was found as 117 m/s for the young mango and 107 m/s for the ripe counterpart.
78 October 30, 2019
Figure 2 Received waveforms obtained from unripe sample (a) and ripe sample (b)
Conclusion Measurements results show when ultrasonic wave is propagated in mango fleshes of different ripeness, the ripeness level of the mangoes affect the properties of the wave. The amplitude is found to be higher in unripe than in the ripe fruit when compared to the amplitude of driving signal. The wave traveling velocity is smaller in ripe fruit than in unripe one. From these initial results, it can be concluded that ultrasonic measurement is promising to be used for mango ripeness inspection.
Keywords: Ultrasonic, Fruit Inspection, Amplitude, Velocity
79 October 30, 2019
PDE-07
Augmented Reality for Riders: CU Glasses
Medelyn Angel Hartono1, Willyon Pratama1, Nicholas Cliff2, Anastasia Ary Noviyanti1
1Product Design Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia 2Computer Systems Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
In this era of digitalization, a blast of online transportation is coming to this world. It has been created good habit for some people, on the other hand some people has broken the rules by using their phones while driving, especially for online drivers. Based on research in the ministry of transportation, less than 72 % of crashes are caused by motorbike riders in 2018. This statement makes some online transportation user doubt about their safety. Due to this situation, research on an Augmented Reality technology glasses has been conducting that will lead the driver to their destination without opening the phone, called CU Glasses. CU embeds GPS systems that is connected via Bluetooth to your phones and small arrows which will guide the driver. Material of optyl plastics will be used as the glasses frame which is strong and affordable. This Augmented reality technology works by providing virtual images, videos, and animation to the riders, allowing them to see virtual elements, which in this case are arrows and street signs. This technology helps decreasing the rate of accidents caused by phone usage during riding and driving.
Keywords: Augmented Reality, Glasses, Riders, Riding, Safety
80 October 30, 2019
PDE-08
Conjugate Heat Transfer Simulations of PCM Cold Storage Systems
Zaki Saptari Saldi
Product Design Engineering Department, Universitas Prasetiya Mulya, BSD City, Indonesia
E-mail: [email protected]
Abstract
In this study, numerical simulations of conjugate heat transfer were performed to study the thermo-fluid characteristics of Phase Change Material (PCM) cold storage systems. The simulations are essential in guiding the design of such systems for preserving and transporting perishable food, beverages, and medicine in the subzero operational temperature regime. Several design configurations with varying PCM thickness and position embedded in an idealized storage volume were studied using Computational Fluid Dynamics (CFD) simulations, which resolved the thickness of the PCM. The solid- liquid phase change was treated using a sub-model based on enthalpy-porosity approach. The mathematical model was implemented in an open-source CFD code, i.e. OpenFOAM. The simulations provided information on temperature and liquid fraction distribution throughout PCM phase transition. The heat transfer rates and movement of phase change front and flow patterns in the PCM of the studied configurations were compared. The temperature distribution and history in the storage volume were monitored to suggest the most favorable design from the viewpoint of subzero temperature preservation.
Keywords: Cold Storage, Thermal Energy Storage, Phase Change Materials, Conjugate Heat Transfer, Computational Fluid Dynamics
81 October 30, 2019
FOOD BUSINESS TECHNOLOGY SESSION
82 October 30, 2019
FBT-01
Docking Study of Brown Algae Phenolics as Inhibitors for Cyclooxygenase-1 (COX-1)
Riyan Anggriawan1, Daniel Joko Wahyono2, Narongrit Muangmai3
1Food Business Technology Department, Universitas Prasetiya Mulya, Tangerang, Indonesia 2Department of Molecular Biology, Jenderal Soedirman University, Purwokerto, Indonesia 3Department of Fishery Biology, Kasetsart University, Bangkok, Thailand
E-mail: [email protected]
Abstract
Brown seaweeds are considered as source of bioactive compounds and produce multifariousness of secondary metabolites characterized by broad spectrum of biological properties. In this current research we chose 36 brown algae phenolics that have antioxidant activity to slowdown inflammatory progression by quenching free radical mechanism. The enzyme COX-1 is an enzyme that responsible and acting as catalyzer of mediators of inflammation. Inhibition of COX-1 is expected to suppress inflammation and pathological condition development. Aim: We performed molecular docking based- screening to select best phenolic compound as anti-inflammatory agent and studied the binding interaction between brown algae phenolics with COX-1. The study was conducted mainly based on computational methods. The 3D-structure model of COX-1 was predicted using SWISS-MODEL web-server by the homology modeling method and validated with Ramachandran plot analysis. Structure of 36 phenolics was drawn in ChemDraw12 and converted to 3D geometry using ChemBio3Dultra 12. Molecular Operating Environment 2015.10 program was employed for the docking process. Absorption, distribution, metabolism, excretion and toxicity (ADMET) properties were also investigated by using software DruLito, Molinspiration tool, PROTOX and Discovery Studio 2016. Conclusion: The results indicated that most of these compounds showed good inhibitory activity; however, only few of them showed good ADMET properties. Six phenolics (acacetin, catechin, diphlorethol, eckol, epicatechin, and quercetin) are promising candidate as anti-inflammatory agent since their activity closest to the commercial drug, and they also possess better ADMET properties. Our findings give contribution in understanding the ligand-protein interactions at the molecular level, and their ADMET properties.
Keywords: Brown Seaweeds, Phenolics, Molecular Docking, Anti-Inflammatory, Cyclooxygenase-1, ADMET
83 October 30, 2019
FBT-02
Food Handling in Indonesian Restaurants
Lakeshia Erlino, Ancilla Betaria Tirtana, Karina Kalasanza, Monica Febriana, Nurhayati
Food Business Technology Department, School of Applied STEM Universitas Prasetiya Mulya, Tangerang, Indonesia
E-mail: [email protected]
Abstract
Sanitation is the most important thing in food handling. Food safety needs to be considered following the food flows from the selection of raw materials, food storage, food preparation, food processing to food served using proper sanitation methods in order to minimize diseases caused by pathogen such as bacteria. In addition to sanitation methods, tools that used to support food processing must be managed properly. Starting from the storage of tools and materials that must be placed in accordance with the place. Negligence in food safety can be harmful to consumers and can even lead to fatal risks. For another purpose, hygiene is also a very important factor to reduce food safety risks. According to observations of food stalls observed by authors,it was observed that awareness of some food handlers in some restaurants is still low. Hygiene procedures that have been established in many SOPs are not fully implemented due to a lack of understanding of the importance of hygiene. This causes some foodborne diseases caused by bacterial contamination and even infectious diseases such as hepatitis from food handlers.
Keywords: Foodborne Diseases, Food Handling, Hygiene, Sanitation, Food Safety Risk
84 October 30, 2019
FBT-03
Challenge to Enforce Food Safety Law and Regulation in Indonesia
Kadek Agus Prabawa, Ni Nengah Ari Widiastuti, Nurhayati
Food Business Technology Department, School of Applied STEM Universitas Prasetiya Mulya, Tangerang, Indonesia
E-mail: [email protected]
Abstract
Law enforcement has always been problematic in Indonesia and has been challenging to the government, including the enforcement of food safety regulation. Indonesian government has promulgated several regulations on food safety such as Act 18/2012 on Food and Government Regulation No. 28 of 2004 on Food Safety, Quality and Nutrition. Also, the government has established the National Agency for Drug and Food Control to monitor and supervise the food sector. However, food safety offense such as food adulteration is still easily found in almost every area in Indonesia and causing serious illnesses and economic losses. In addressing food safety in Indonesia, this study aims to analyze the difficulties facing to enforce the law and regulations of food safety in Indonesia. This study investigates the factors which negatively influence the attempt to achieve food safety. With library research, the legislation, legal theory, and other secondary data will be analyzed to then summarized into conclusions as the characteristics of doctrinal research. This study concludes there are two categories of factors affecting the enforcement of food safety law and regulations namely internal and external factors.
Keywords: Food Safety, Food Adulteration, Law Enforcement, Food Illness, Food Regulation
85 October 30, 2019
FBT-04
Determination of Proximate Composition of Rice, Sago and Tapioca Flours and Their Calorific Values
Kevin Christopher, Owen Agitza Jaya, Ihsan Iswaldi
Food Business Technology Department, Universitas Prasetiya Mulya, Tangerang, Indonesia
E-mail: [email protected]
Abstract
Proximate analysis is commonly used in food industry in order to determine the nutrition values of raw materials or product for product development, quality control, regulatory or food labelling purposes. In this study, we have carried out the proximate composition of various type of flours i.e. rice, sago and tapioca and followed by measuring their calorific values. The samples, in the packaging normally presented to the public, were bought from large supermarket in Tangerang city (Indonesia). Accredited methods were used to determine the moisture, ash, lipid and protein, while the carbohydrates were calculated by difference. When the protein, fat and carbohydrate compositions have been known, the gross energy values of each sample could be calculated. These values were in good agreement with those obtained from heats of combustion using a bomb calorimeter.
Keywords: Calorific Value, Proximate Analysis, Rice Flour, Sago Flour, Tapioca Flour
86 October 30, 2019
FBT-05
Qualitative Analyses of Borax, Formalin, Methanyl Yellow and Rhodamine-B in Selected Food in South Tangerang Indonesia
Ferdinand Kenji, Laudya Jenita, Ni Nengah Ari Widiastuti, Ihsan Iswaldi
Food Business Technology Department, Universitas Prasetiya Mulya, Tangerang, Indonesia
E-mail: [email protected]
Abstract
The use of harmful additives by food industry is still becoming an issue in Indonesia. Realizing the danger of these materials, this research aimed to carry out qualitative analyses on several food products sold in several modern markets in South Tangerang, Indonesia, such as white and yellow crackers, yellow tofu, meatball, wet yellow noodle, and mambo ice that suspected to contain banned food additives. The tests include formalin, borax, methanyl yellow, and rhodamine B contents. The rapid test kits that refers to AOAC procedure were used. The results on formalin and borax tests on white and yellow crackers, yellow tofu, meatball and wet yellow noodles were negative. The same results were obtained from the methanyl yellow test on yellow cracker, yellow tofu, wet yellow noodle, and rhodamine B test on mambo ice that were also negative. Even though the experimental results did not show any harmful food additives, it gives no guarantee on the safety of all food sold in the markets. Further or periodic test is needed to ensure the food are safe from the use of banned additives that will be consumed by the people.
Keywords: Borax, Food Additives, Formalin, Methanyl Yellow, Modern Market, Rhodamin B
87 October 30, 2019
FBT-06
Effect of Addition of Binahong Leaves on Fish Feed Against Survival of Infected Goldfish Seeds Aeromonas sp
Citra Panigoro1, Juliana2, Yuniarti Koniyo2
1Management of Aquatic Resources, Faculty of Fisheries and Marine Science State University of Gorontalo, Indonesia 2Aquaculture, FPIK Faculty of Fisheries and Marine Science State University of Gorontalo, Indonesia
E-mail: [email protected]
Abstract
Bacterial infection is one of the causes of disease in freshwater fish, so it can cause losses in aquaculture activities. One of the bacteria that can infect freshwater fish is the bacterium Aeromonas sp, this bacterium can cause diseases that can cause death in fish. This study aims to determine the effect of adding binahong leaves on fish feed to the survival of goldfish seeds infected with Aeromonas sp. This study uses an experimental method with experimental design using a Completely Randomized Design (CRD). The treatment in this study is the addition of binahong leaves to feed with different percentages. The study consisted of four treatments, namely treatment A (5%), B (7%), C (9%) and D (control). The results showed that the best survival was in treatment C and the lowest was found in treatment D.
Keywords : Aeromonas, Bacteria, Binahong, Survival Rate, Disease
88 October 30, 2019
FBT-07
Exploring Sate Bandeng as a Traditional Cuisine from Banten: History, Classification and Production Process
Rike Tri Kumala Dewi, Ihsan Iswaldi
Food Business Technology Department, Universitas Prasetiya Mulya, Tangerang, Indonesia
E-mail: [email protected]
Abstract
Sate bandeng is a typical food from Banten province since the days of the Kingdom of Banten in 15th Century. This food was served by the king every time he received guests. Over time, this food is served to celebrate the circumcision, wedding, and mawlid (prophet’s birthday). In contrast to processing satay (sate) in general, processing of sate bandeng begins by removing the milkfish meat from the skin and then put it back into the skin after being given coconut milk and spices and finally grilled on the wood coals. The characteristics of sate bandeng varies in each city in the Banten province. Sate bandeng in Serang city is served by sticking it into a bamboo stick, meanwhile sate bandeng in Cilegon city is wrapped with banana leaves. The process of making sate bandeng in Serang city is only through the grilling process on the wood coals, whereas sate bandeng in Cilegon city is carried out through the process of steaming previously and followed by grilling. The smell of mud on milkfish can be reduced or eliminated through the smoking and grilling process. The smoking process is also useful to soften fish bones and preserve it. Grilling time should not be too long to maintain the nutritional components. This review aimed to describe history, processing, and approaches for the development of quality characteristics of sate bandeng.
Keywords: Banten, Grilling, Milkfish, Sate Bandeng, Smoking
89 October 30, 2019
FBT-08
The Application of Spirulina for the Treatment of Wastewater from Tempeh Production Yalun Arifin1, Angelina Jennifer2, Candra Wijaya2, Lieke Riadi2
1Department of Food Business Technology, Prasetiya Mulya University, BSD Raya Utama, Tangerang 15339, Indonesia. 2University of Surabaya, Chemical Engineering Department, Jalan Raya Kalirungkut, Surabaya 60292, Indonesia
E-mail: [email protected]
Abstract
Spirulina (Arthrospira platensis) is an alga with a wide array of application. It is used for food supplement, animal feed, cosmetics and the production of specialty chemicals obtained during the extraction of the algae biomass. Another application is for wastewater treatment. Tempeh is a popular soybean based food in Indonesia. Tempeh production in Indonesia generates wastewater with COD around 7,000 – 25,000 ppm. In our research, Spirulina is used for the treatment of wastewater obtained from tempeh manufacturing process. Spirulina was cultivated in the medium containing 0.5, 0.75, 1, and 1.5 % of the tempeh wastewater, which corresponds to the COD of 120 to 350 ppm. In this growth medium, the cell performed mixotrophic metabolism that allowed the cell growth up to 2.2 g/l and the reduction of up to 75 % of the COD values. The final COD achieved is between 50 - 150 ppm, which already meet the standard for disposal. This utilization of the waste can reduce the cost for Spirulina growth medium to 40 % lower. This result demonstrates the application of Spirulina for the treatment of wastewater for soybean based food product. It also shows the potential of using the wastewater from tempeh manufacturing process as an alternative low cost and efficient growth medium for Spirulina biomass production.
Keywords: Spirulina, Tempeh, Low Cost Medium, Wastewater
90 October 30, 2019