PROGRAM BOOK of ICESTI 2017
September 26-29, 2017 Mercure Bali Harvestland, Kuta, Bali, Indonesia
ICESTI 2017 is the flagship conference and is organized by:
ICESTI 2017 in collaboration with:
ICESTI 2017 is supported by:
ICESTI 2017 is the flagship conference and is organized by:
Continuing Education Centre, Petra Christian University
Jl. Siwalankerto 121 – 131 Surabaya 60236 East Java – Indonesia Phone: +62-31-2983145 E-Mail: [email protected] Website: http://www.icesti.org
3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
CHAIRMAN FOREWORD
It is our great pleasure to welcome you to the 3rd International Conference on Electrical System, Technology & Information (ICESTI2017). This year, ICESTI2017 provides a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in the field of Electrical Engineering and Information Technology towards their sustainable development. The conference covers diverse topics from Technology Innovation in Energy, Electrical and Electronics and Information Technology. We really hope that all authors and participants will find this program interesting and thought- provoking and that the conference will provide audiences with a valuable opportunity to share ideas with other researchers and practitioners from institutions around the world. For closing, i want to thank you to our keynote speakers, workshop speakers & invited speakers i.e.: Prof. Shueng-Han Gary Chan (Hong Kong University of Science and Technology), Prof. Rajkumar Buyya (University of Melbourne, Australia), Prof. Hsueh-Cheng Wang & Timothius Victorio Yasin, (National Chiao Tung University, Taiwan), Prof. Abraham Lomi, (Institut Teknologi Nasional, Indonesia) and Dr. Daniel M Wonohadidjojo (Ciputra University, Indonesia). Also we really thankful for the contribution and spending valuable time in the review process of our Advisory Boards, Committee Members and Reviewers. Also I really appreciate to our Collaboration Partners (Ciputra University & Institut Teknologi Nasional - Indonesia) and our Supported Institution (Oulu University, Finland and Dongseo University, Korea).
Chair of ICESTI 2017,
Felix Pasila, Ph.D
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1 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
CONFERENCE COMMITTEE
General Chairman : Felix Pasila, Petra Christian University, Indonesia General Co-Chairman : M. Mozzafari Foumashi, Twente University, The Netherlands Organizing Chairs : Murtiyanto Santoso, Petra Christian University, Indonesia Resmana Lim, Petra Christian University, Indonesia Yusak Tanoto, Petra Christian University, Indonesia Organizing Committee : Raymond Sutjiadi, Institut Informatika Indonesia, Indonesia Technical Committee Member : Ahmed H. Chebbi, University of Monastir, Tunisia Aulia M.T. Nasution, Institut Teknologi Sepuluh Nopember, Indonesia Elieser Tarigan, University of Surabaya, Indonesia Farid Parvari Rad, University of Bologna, Italy Hamid Ali Abed Alasadi, Basra University, Iraq Hestiasari Rante, University of Bremen, Germany Iwan Adhicandra, Bakrie University, Indonesia Juramirza Kayumov, Namangan Institute of Engineering and Technology, Uzbekistan Maria Prihandrijanti, Surya University, Indonesia Michael Lund, University of Bremen, Germany Nu Rhahida Arini, University of Southampton, UK Qiaoling Meng, University of Shanghai for Science and Technology, China Souvik Pal, Nalanda Institute of Technology, India Yudhan Wulanza, University of Indonesia, Indonesia International Advisory Board : Prof. Agus Subekti, Directorate General of Higher Education, Ministry of National Education – Indonesia Dadet Pramadihanto, Electronic Engineering Polytechnic Institute of Surabaya, Indonesia Prof. Djwantoro Hardjito, Petra Christian University, Indonesia Prof. Esko Alasaarela, Oulu University, Finland Prof. Heung-Kuk Jo, Dongseo University, Korea Prof. Hoon-Jae Lee, Dongseo University, Korea Hotniar Siringoringo, Gunadarma University, Indonesia Prof. Mauridhi Hery Purnomo, Institut Teknologi Sepuluh Nopember, Indonesia Roy Hendroko Setyobudi, Ma Chung Research Center for Photosynthetic Pigments, Indonesia P. Sanjeevikumar, National Institute of Technology, India Prof. Sang-Gon Lee, Dongseo University, Korea Widodo Budiharto, Bina Nusantara University, Indonesia
2 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
KEYNOTE SPEAKERS
Prof. Shueng-Han Gary Chan, Ph.D.
Department of Computer Science and Engineering The Hong Kong University of Science and Technology
Education: Stanford University
PhD in Electrical Engineering, January 1999 PhD Minor: Business Administration (Management of operations, information and technology) MS in Electrical Engineering, June 1994
Princeton University
BSE in Electrical Engineering, Highest Honors, June 1993 Certicates in Engineering and Management Systems, Engineering Physics, and Applied and Computational Mathematics, June 1993
Keynote speech topic: "Indoor localization and People Sensing for Smart Space"
Prof. Rajkumar Buyya, Ph.D.
Dr. Rajkumar Buyya is a Fellow of IEEE, Professor of Computer Science and Software Engineering, Future Fellow of the Australian Research Council, and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 525 publications and seven text books including “Mastering Cloud Computing” published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively.
Keynote Speech Topic: " New Frontiers In Cloud Computing For Big Data And Internet-of-Things (IoT) Applications”
3 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
GENERAL PROGRAM Day 1: 26 September 2017 Time (UTC+8) Place Registration: conference kit collection, tour registration, presentation file 14.00 – 16.00 Conference submission Venue End of Day 1 Day 2: 27 September 2017 Late Registration: conference kit collection, tour registration, presentation file 08.00 – 09.30 Conference submission Venue Opening Ceremony 09.30 – 09.35 Ballroom Plenary Session 09.35 – 12.00 Ballroom Prof. Rajkumar Buyya: " New Frontiers In Cloud Computing For Big Data And Internet-of-Things (IoT) Applications” Prof. Shueng-Han Gary Chan: "Indoor localization and People Sensing for Smart Space" Photo Session 12.00 – 12.30 Ballroom Lunch 12.30 – 13.30 Restaurant Parallel Session 1 13.30 – 15.00 Room 1, 2 Coffee Break 15.00 – 15.30 Parallel Session 2 15.30 – 17.00 Room 1, 2 Gala Dinner 19.00 – 21.00 Restaurant End of Day 2 Day 3: 28 September 2017 Late Registration: conference kit collection, tour registration, presentation file 08.00 – 09.00 Conference submission venue Workshop on “Duckietown Project: Platform for Learning Autonomous 09.00 – 10.15 Ballroom Robotic Car” by Timotius Victorio Yasin, Electrical Engineering Department, NCTU Taiwan Coffee Break 10.15 – 10.30 Panel Discussion: Oracle, Tokopedia, Catalyst 10.30 – 12.30 Ballroom Lunch 12.30 – 13.30 Restaurant Parallel Session 3 13.30 – 15.00 Room 1, 2 Coffee Break 15.00 – 15.30 Parallel Session 4 15.30 – 17.00 Room 1, 2, 3 Closing Ceremony ( Doorprize + Best Paper Award) 17.00 – 18.00 Ballroom End of Day 3 Day 4: 29 September 2017 Tour (Optional, additional charge applies. Technical informations to be 08.00 – 16.00 TBA announced) End of Day 4
4 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
PARALLEL SESSION TRACK: ELECTRICAL & ELECTRONICS Parallel Session 1 Date : September 27, 2017 Room : 2 Time : 13.30 - 15.00 WITA (UTC + 8) Session Chair: Peter Plagemann
Time ID Title Author(s) 13.30 - 13.45 3 Corrosion Protection of Offshore Wind Energy Peter Plagemann, Andreas Constructions in Germany - Challenges and Approaches Momber 13.45 - 14.00 59 A Comparison of Real Time Extraction between Chebyshev Dwi Esti Kusumandari, Arjon and Butterworth Method for SSVEP Brain Signals Turnip 14.00 - 14.15 31 Improvement of Voltage Stability due to Integration of the Ni Putu Agustini, I Made Wartana Celukan Bawang Power Station to the Bali 16-bus System 14.15 - 14.30 63 Modeling of Energy Production of Sengguruh Hydropower Daniel Rohi Plant Using Neuro Fuzzy Network 14.30 - 14.45 77 3D Simulator Design using Discrete–Multi-Piston Actuators Roche Alimin, Felix Pasila 14.45 - 15.00 38 Implemetation of Mamdani and Sugeno Method for Load Yusuf Ismail Nakhoda, Ni Putu Forecasting: A Case Study of Malang City Agustini, Ikhzanul Bagus Ariyanto, Abraham Lomi
Parallel Session 2 Date : September 27, 2017 Room : 2 Time : 15.30 - 17.15 WITA (UTC + 8) Session Chair: Abraham Lomi Time ID Title Author(s) 15.30 - 15.45 10 Optimum Allocation of Reactive Power Sources for Voltage Abraham Lomi, F. Yudi Stability Improvement and Loss Minimization in Power Limpraptono Distribution Systems 15.45 - 16.00 28 Indonesian Batik Image Classification Using Statistical Nafik’ah Yunari, Eko Mulyanto Texture Feature Extraction Gray Level Co-occurrence Yuniarno, Mauridhi Hery Purnomo Matrix (GLCM) and Learning Vector Quantization (LVQ) 16.00 - 16.15 12 OBD-2 (On Board Diagnostic 2) Based Vehicle Hartono Pranjoto, Lanny Agustine, Management Over GPRS (General Packet Radio Service) Mimi Mereditha Wireless Network for Fleet Monitoring and Fleet Maintenance Management 16.15 - 16.30 33 Remote Spectrum Analyzer based on Web Software Defined F Yudi Limpraptono, Eko Radio for Use in Telecommunication Engineering Remote Nurcahyo Laboratory 16.30 - 16.45 17 Design of Monitoring Tool Heartbeat Rate and Human Body Jalinas, Wahyu Kusuma R., Bobby Temperature Based on WEB Putra E.W 16.45 - 17.00 71 Forward/Inverse Kinematic Simulator Software Using Unity Handry Khoswanto Engine 17.00 - 17.15 34 Web-GIS Aplication using Multi-Attribute Utility Theory to Anik Vega Vitianingsih, Dwi Classify Accident-Prone Roads Cahyono, Achmad Choiron
5 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Parallel Session 3
Date : September 28, 2017 Room : 2 Time : 13:00 – 15:00 WITA (UTC + 8) Session Chair: Surya Hermawan Time ID Title Author(s) 13.30 - 69 High Spatial Grid Resolution of Hydrodynamic Surya Hermawan, H. Gunawan 13.45 Numerical Modeling for Sea Current Energy Site Selection in Indonesia 13.45 - 27 Prototype of Demand Response Controller for Demand Djoni Haryadi Setiabudi, Michael 14.00 Side Management on Home Electricity using Particle Santoso, Iwan Njoto Sandjaja, Swarm Optimization Algorithm Yusak Tanoto 14.00 - 22 Human Arm Movement Detection Using Low Cost Aryuanto Soetedjo, I.K. 14.15 Sensors for Controlling Robotic Arm Somawirata, A. Irawan 14.15 - 64 Performance of Resevoir Hydroelectric Power Plants in Daniel Rohi 14.30 Indonesia: A Case Study of Sutami Hydropoer Plant 14.30 - 21 Study of Static Under Frequency Load Shedding on IEEE Irrine Budi Sulistiawati, Aga Dia 14.45 3 Generator 9 Bus System Caused of Transient Condition Priasmoro, Abraham Lomi, Ardyono Priyadi, Ibrahim Azhari 14.45 - 52 A Preliminary Study of Technical Feasibility for Mobile Yopi Y. Tanoto, Shu-San Gan, 15.00 Phone Remanufacturing in Indonesia Didik Wahjudi, Juliana Anggono
Parallel Session 4
Date : September 28, 2017 Room : 2 Time : 15:30 - 17.15 WITA (UTC + 8) Session Chair : Irrine Budi Sulistiawati Rusilawati Time ID Title Author(s) 15.30 - 48 Determination of Generator Steady State Stability Limit Irrine Budi Sulistiawati Rusilawati, 15.45 for Multi-machine System Based on Network Losses Adi Soeprijanto, Rony Seto Wibowo Concept 15.45 - 67 Investigation of Voltage Quality in Cement Industry in Julius Setiadji, Daniel Rohi, Yoanne 16.00 Indonesia: Case Study of PT Semen Kupang Flantine Mozes 16.00 - 68 The Benefit of Decision Support System as Sustainable Surya Hermawan 16.15 Environment Technology to Utilize Coastal Abundant Resources in Indonesia 16.15 - 70 Brain Computer Interface for Controlling RC Car Using Thomas Setiono, Andreas Handojo, 16.30 EEG Emotiv Epoc+ Rolly Intan, Widodo Budiharto, Resmana Lim 16.30 - 78 Understanding a Deep Learning Technique Through a Indar Sugiarto, Felix Pasila 16.45 Neuromorphic System 16.45 - 79 IoT-Based Car's Parking Monitoring System Albertus Ega Dwiputra, Handry 17.00 Khoswanto, Resmana Lim 17.00 - 15 Emotion Recognition using cvxEDA-based Features Hany Ferdinando, E. Alasaarela 17.15
6 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
PARALLEL SESSION TRACK: INFORMATION TECHNOLOGY
Parallel Session 1 Date : September 27, 2017 Room : 1 Time : 13.30 - 15.00 WITA (UTC + 8) Session Chair : Mohamad Khairi Ishak Time ID Title Author(s) 13.30 - 9 Design of Robotic Arm Controller based on Internet Mohamad Khairi Ishak, Muhammad Izzat 13.45 of Things (IoT) Roslan 13.45 - 20 Hybrid PRoPHET-Epidemic Routing Protocol for FX Ariwibisono, Achmad Basuki, Fatwa 14.00 Optimizing Possibility of Sending Messages in Ramdani Remote Fishermen Residential Area 14.00 - 8 Information System Strategic Planning for Jarot S. Suroso, Harisno, Tuga Mauritsius, 14.15 Department of Housing and Settlement Region in Agung Setyawan The Jakarta Provincial Government 14.15 - 24 Information Systems Adoption among SMEs in Trianggoro Wiradinata 14.30 Developing Country: The Case of Gerbang Kertasusila 14.30 - 43 Geographic Information Retrieval Using Query Steven Tionardi, Viny Christanti Mawardi, 14.45 Aware Document Ranking Method Case Study for Ery Dewayani Surakarta 14.45 - 23 WebGIS Application of Geospatial Technology for Dafid Bayu Firmansya, Fatwa Ramdani, 15.00 Tourist Destination in Malang Herman Tolle
Parallel Session 2 Date : September 27, 2017 Room : 1 Time : 15.30 - 17.15 WITA (UTC + 8) Session Chair : Boonchoo Jitnupong Time ID Title Author(s) 15.30 - 26 Information System User Interface Design in Boonchoo Jitnupong, W. Jiracheifpattana 15.45 Software Services Organization: A Small-Clan Case Study 15.45 - 25 Design and Development of RunForFun Mobile Anthony Anci, Trianggoro Wiradinata 16.00 Application 16.00 - 39 Data Mining Application using Association Rule Jason Reynaldo, David Boy Tonara 16.15 Mining ECLAT Algorithm based on SPMF 16.15 - 44 Spelling Correction For Text Documents In Bahasa Viny Christanti Mawardi, Niko Susanto, 16.30 Using Finite State Automata And Levenshtein Dali S. Naga Distance Method 16.30 - 62 Call for Paper Information Broadcast Based on Fenny Destasia Chan, Andreas Handojo, 16.45 Android Application Hanny Tabita Listyani, Ivan Aldinata, Felicia 16.45 - 47 RFID and IoT for Attendance Monitoring System Joseph Irawan 17.00 17.00 - 76 Saving Matrix Method for Efficient Distribution Timothy John Pattiasina, Eddy Triswanto 17.15 Route Based on Google Maps API Setyoadi, David Wijayanto
7 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Parallel Session 3
Date : September 28, 2017 Room : 1 Time : 13.30 - 15.00 WITA (UTC + 8) Session Chair : Hartono Pranjoto Time ID Title Author(s) 13.30 - 60 Comparative Analysis of Thresholding Methods in Cancer Daniel Martomanggolo 13.45 Cells Image Processing Wonohadidjojo 13.45 - 66 Congestion Mitigation Scenario through Public E.Suryani, R.A.Hendrawan, P. F. E. 14.00 Transportation Improvement Adipraja, L.P.Dewi Feasibility Study for the Detection of Leave Disease Using Ruchire Eranga Wijesinghea, Seung- 14.00 - 7 Fiber Based Imaging System Yeol Lee, Naresh Kumar 14.15 Ravichandrana, Muhammad Faizan Shirazia, Deokmin Jeon, Daeyoung Choi, Oeon Kwon, Jaewon Song, Changseok Kim, Jin-Seok Bae, Hee- Young Jung, Mansik Jeon, Jeehyun Kim 14.15 - 18 Forecasting System Approach for Stock Trading with Yulius Hari, Lily Puspa Dewi 14.30 Relative Strength Index and Moving Average Indicator 14.30 - 46 Uniform and Non-Uniform Image Enlargement Based on I K. Somawirata, Teguh Herbasuki, 14.45 the Window Kernel Bambang Prio H., Aryuato Soetedjo 14.45 - 37 The Development of System Dynamics Model to Increase E. Suryani, R.A. Hendrawan, E.Taufik, 15.00 National Sugar Fulfillment Ratio I. Muhandhis, L.P. Dewi
Parallel Session 4 Date : September 28, 2017 Room : 1 Time : 15.30 - 17.15 WITA (UTC + 8) Session Chair : Kanyanut Homsapaya Time ID Title Author(s) 15.30 - 53 Modified Floating Search Feature Selection Based on a Kanyanut Homsapaya, Ohm Sornil 15.45 Genetic Algorithm 15.45 - 55 An Extended Fuzzy Neural Network and Backtracking Abdul Haris Rangkuti Muhammad 16.00 Algorithm for Improving of Image Classification Fahri 16.00 - 45 Automatic Essay Scoring in E-learning System Using LSA Rico Setiadi Citawan, Viny Christanti 16.15 Method with N-Gram Feature for Bahasa Mawardi, Bagus Mulyawan 16.15 - 58 Enhancing Students’ Technopreneurship Projects with Stephanus Eko Wahyudi, Kartika 16.30 Mobile Collaboration and Communication Application Gianina Tileng, Ian Budi Kurniawan 16.30 - 49 Design and Bandwidth Optimization on Triangle Patch Sotyohadi, Riken Afandi, Dony 16.45 Microstrip Antenna for WLAN 2.4 GHz Rachmad Hadi 16.45 - 61 Cloud Computing Point of Sales Development for Indonesia Adi Suryaputra Paramita, Trianggoro 17.00 Small Medium Enterprise Wiradinata 17.00 - 75 Surabaya Tourism Destination Recommendation Using Raymond Sutjiadi, Adriel Giovani 17.15 Fuzzy C-Means Algorithm Budihardjo, Edwin Meinardi Trianto
8 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
TRACK: ELECTRICAL & ELECTRONICS and INFORMATION TECHNOLOGY
Parallel Session 4 Date : September 28, 2017 Room : 3 Time : 15.30 - 17.00 WITA (UTC + 8) Session Chair : Yanatra Budi Pramana Time ID Title Author(s) 15.30 - 50 Electrolysis Synthesis and Characterization Yanatra Budi Pramana, Yunia Dwie 15.45 Properties of Nickel Oxide Nanoparticle Nurcahyanie, Muhamad Abdul Jumali, Rhenny Ratnawati, Sugito
15.45 - 57 Green Industrial System in Indonesia Fourry Handoko, Ellysa Nursanti, Gatot, 16.00 Lalu Mulyadi, Julianus Hutabarat, Kustamar, Martinus Edwin Tjahjadi
16.00 - 73 A Study of Mobile Robot Control Using EEG Timotius Victorio Yasin, Felix Pasila, 16.15 Emotiv Epoch Sensor Resmana Lim 16.15 - 14 Modified Welch Berlekamp Algorithm to Decode Ali Mahmudi, Sentot Achmadi, Michael 16.30 Reed Solomon Codes Ardita 16.30 - 72 Web-based Robotics Laboratory Petrus Santoso, Handry Khoswanto, Iwan 16.45 Njoto Sandjaja 16.45 - 74 Indonesian Stock Prediction using Support Vector Murtiyanto Santoso, Raymond Sutjiadi, 17.00 Machine Resmana Lim
9 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
ABSTRACT PROCEEDING
Technology Innovation in Information Technology
10 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Information System Strategic Planning for Department of Housing and Settlement Region in the Jakarta Provincial Government
Jarot S. Suroso1, Harisno2, Tuga Mauritsius3, Agung Setyawan4 Information Systems Management Department, Binus Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480 [email protected], [email protected], [email protected], [email protected]
Abstract—This research was conducted in the Unit Pengelola Rumah Susun (UPRS) in Jakarta Provincial Government and based on the existence of problems strategic planning of information systems. The purpose of this study is to provide a proposal of Information System Strategy and Management Information System for UPRS. The strategic planning of the information systems on research was conducted using the method of Ward &Peppard. The IS strategic planning in the UPRS which is proposed in this research is hope to be used to integrate each business process and IS system which is connected to the Jakarta Smart City. IS is needed with the competent human resources to manage the IS/IT of the UPRS to increase the service quality to the flat occupants and to increase the employees productivity in implementing their job functions.
Index Terms— UPRS, Jakarta Provincial Government, Strategic Planning Of Information Systems, Ward & Peppard. Design of Robotic Arm Controller based on Internet of Things (IoT)
Mohamad Khairi Ishak and Muhammad Izzat Roslan School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, 14300, Penang, Malaysia [email protected] and [email protected]
Abstract—This paper presents the development of a controller for the robotic arm through Internet of Things (IoT). The robotic arm can be monitored and controlled its direction via internet facilities. The Raspberry Pi board is used in this project for the robotic arm controller and web server system. The robotic arm comprises of 4 servo motors and each of the servo motors is assigned with a single pulse width modulation (PWM) output and can be individually controlled. The controller system is implemented on Raspberry Pi board using Python 2.7 programming language. Node-Red is used as a web server in this project. The web server can communicate with the web browser through TCP/HTTP. The user is able to use the web browser via computer or smartphones. It allows monitoring and controlling the robotic arm direction and performing pick and place task as in manufacturing industry. The results are verified by practical test implementation.
Index Terms—Raspberry Pi, robotic arm, web server, internet of things.
Forecasting System Approach for Stock Trading with Relative Strength Index and Moving Average Indicator
Y. Hari1, L.P. Dewi2 1Informatics Department, Widya Kartika University, Indonesia 2Informatics Department, Petra Christian University, Indonesia [email protected], [email protected]
Abstract— the stock is one of the investment instruments on the capital markets which provide high returns. Furthermore, Indonesian government also supports to raise awareness of investing in stock market through the national movement to love the stock market. Apart from that, a lot of people want to invest their money in stocks hoping to get a big advantage in an instant, eventually many of those who suffered losses so that the intention to develop the money is not achieved. Lack of knowledge of the public that the high return high risk, is often forgotten community. Therefore in order to desire the community to develop their money in stocks can be realized need to be analyzed on stock transactions. Seeing this, the awareness needs to be improved will stock analysis using the indicator. Departing from the issue of this research is expected to help the community in analyzing the stock when the time buy and when to sell. Through forecasting system for trading shares that may be providing advice to stock investors to pay attention to indicators of relative strength index and moving average. In conclusion the result of this research can help the investor to determine the expected time to buy and sell. However, this system cannot predict exact time and cannot became a standard for profitability, because the volatility of stock price. Index Terms—Decision support system; Forecasting; Moving average; Relative strength index.
11 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Hybrid PRoPHET-Epidemic Routing Protocol for Optimizing Possibility of Sending Messages in Remote Fishermen Residential Area
F.X. Ariwibisono12, Achmad Basuki1, Fatwa Ramdani1 1Faculty of Computer Science, Brawijaya University Malang, Indonesia 2National Institute of Technology Malang, Indonesia [email protected]
Abstract – The limitations of communications facilities and infrastructure in the residential areas of the fishermen create problems of information difficulty. Lack of signal availability from the nearest Base Transceiver Station (BTS) that can reach the fishermen's residential area. A solution is needed that allows the communication path from the residential area of the fishermen to the area available for communication facilities and infrastructure. From this issue, there are several methods that can be used to overcome this problem. One of method that is use as a solution is Delay or Disruption Tolerant Network (DTN) network architecture and another method utilize Crowdsource Mobile Access (CrowdMAC) to send message data packets to the destination device. In this paper, we carried out the integration of PRoPHET and Epidemic routing protocols to increase the level of the possibility of sending packets via multiple nodes with crowdsourcing.
Index Terms- Crowdsource, Disruption Tolerant Network, Epidemic, PRoPHET
Information Systems Adoption among SMEs in Developing Country: The case of Gerbang Kertasusila
Trianggoro Wiradinata Universitas Ciputra, Surabaya, Indonesia [email protected]
Abstract— The rapid growth of Internet Technology (IT) in Indonesia opens up many new business process innovations for small and medium enterprises (SMEs). Observing the cost of acquisitioning IT has become more affordable now compared to ten years ago, more and more SMEs convinced to implementing it, however success rate has been anecdotal. Various studies in the field of SMEs have been done, but not much focusing on how SMEs adopting Integrated Information Systems. Specifically, in Gerbang Kertasusila (Industrial part of East Java, Indonesia), most of SMEs are trying to automate their business processes, however not many realize that in terms of IT adoption context, SMEs are not just merely a simple scaled-down model of large firms, hence many project implementations in SMEs were failing. This study combines T-O-E and TAM framework to analyses the important antecedents of technology adoption at the firm level. The collected data of 398 SME owners or managers were tabulated and analysed using structural equation modelling to measure the causal effects. Result findings from final model confirmed the significance of Competitive Pressure (CP) and Owner’s ICT Knowledge and Innovativeness (OIKI) as the largest predictor of Intention to Adopt IT for business process automation. Despite solid theoretical contribution of the findings, this study also offers practical means of increasing the success rate of IT adoption by SMEs.
Index Terms—information systems adoption; small medium enterprise; tam; toe.
12 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Design and Development of RunForFun Mobile Application
Anthony Anci, Trianggoro Wiradinata Universitas Ciputra, Surabaya, Indonesia [email protected]
Abstract— Ten or five kilometers race run has been trending recently in many places in Indonesia, especially in Surabaya where there were at least 11 events of race run. The participants number also increased significantly compared to years before. However among several race run events it was seen that some events were tend to be replicative and monotone, whilst among the participants recently were identified the need of increasing fun factor. RunForFun is mobile application which designed to participants to get reach new experience when participating in a race run event. The mobile application will run on Android OS. The development method of this mobile application would use Reverse Waterfall method. The development of this mobile application uses Ionic Framework which utilize Cordova as its base to deploy to smartphone devices. Subsequently, RunForRun was tested on 10 participants and the test shows significant increase on the fun factor from run race participants.
Index Terms— android; ionic, cordova; fun; race run.
Information System User Interface Design in Software Services Organization: A Small-Clan Case Study
B.Jitnupong and W.Jiracheifpattana Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand [email protected]
Abstract— A user interface (UI) is one of the most significant parts of an information system (IS). A user-friendly UI helps users to carry out their tasks with efficiency, effectiveness, and satisfaction. UI design consists of five elements: metaphor, mental model, navigation, interaction, and appearance. Based on these, the designer must carefully select and design each element to be appropriate for the users. Because of its user-friendly approach, we examine the influential process user-centered design (UCD), a well-known process we believe helps to raise product quality. Furthermore, we assess the roles of UCD and UI elements in IS development by observing it in a small family software services company in Thailand. The findings of this study shows small family team is proper with UI design that concern in usability for user. Even though some UCD processes or UI elements are quite unclear, the clan culture helps them to design UI with flexibility and unbiassed obtain comments from user.
Index Terms— User Interface Design; Information System Development; Clan Organizational Culture
Prototype of Demand Response Controller For Demand Side Management On Home Electricity using Particle Swarm Optimization Algorithm
Djoni Haryadi Setiabudi1, Michael Santoso2, Iwan Njoto Sandjaja3, Yusak Tanoto4 1,2,3Informatics Department, Petra Christian University 4Electrical Engineering Department, Petra Christian University [email protected]
Abstract—Demand Side Management (DSM) can be carried out using electric load shedding approach. In practical, this can be realized using equipment called the Demand Response Controller (DRC). The discharge of electricity with DRC is one of the efforts to respond to the increasing electricity tariff. In further, such technology allows users to shift duration of electricity usage, for example from the peak load period to the off-peak period. This research develops a website-based prototype with devices that have been integrated with Raspberry Pi as a controller. Devices arrangement is connected to home electrical devices in order to allow users change the condition of electronic devices everywhere, in terms of its utilization period. To support DRC there is a feature where users can enter the limits of electricity usage and then the PSO algorithm will set electronic devices so that it can be switched on and off in accordance with the restrictions of the users. The prototype has been able to do the optimization by turning off the device in accordance with user requirements. The PSO algorithm has been tested and an accuracy of 96% can be achieved at most possible, finding a combination of kilowatt limits according to user requirements. Index Terms—Demand-Side Management; Demand Response Controller; Home Electricity; Particle Swarm Optimization
13 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Web-GIS Application using Multi-Attribute Utility Theory to classify Accident-Prone Roads
Anik Vega Vitianingsih1, Dwi Cahyono2, Achmad Choiron3 1,2,3Department of Informatics Engineering, 1,2,3Universitas Dr.Soetomo Surabaya, Indonesia. [email protected]
Abstract— Traffic accidents are greatly influenced by several factors. Some of the factors are the condition of the roads, the density of the roads and the number of accidents occurring at the road [1]. Web Geographical Information System (Web-GIS) can assist the society to identify the accident-prone points with Multi-Attribute Utility Theory (MAUT) Method. The Web-GIS was built using the architecture concept of client-server, where the application could act as the server. The Web-GIS system thematic using ArcGIS Desktop 10.2 software, linked to the database of Microsoft SQL Server Management Studio. It was then carried on to the Web-GIS technology and ArcGIS Viewer for Silverlight. The green thematic layer with the category classification of low risk accident prone-roads was 24%. The yellow thematic layer with the category classification of accident prone-roads was 58% and the red thematic layer with the category classification of high risk accident prone-roads was 18%.
Index Terms—Web-GIS; MAUT; thematic layer; Accident Prone-Roads.
The Development of System Dynamics Model to Increase National Sugar Fulfillment Ratio
E.Suryani1, R.A.Hendrawan1, E.Taufik2 I.Muhandhis3 and L.P.Dewi4 1Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo - Surabaya 60111, Indonesia 2 Production Science and Technological Farm, Institut Pertanian Bogor, Bogor, Indonesia 3 Informatics Engineering, Wijaya Putra University, Surabaya, Indonesia 4 Informatics Engineering, Petra Christian University, Surabaya, Indonesia [email protected]
Abstract—Sugar is one of the basic needs for people and industries that are currently still continues to be a problem due to lack of domestic production. There are 11 refined sugar factory companies with an installed capacity of 5 million tons. However, there is idle capacity of refined sugar factory about 46%. In 2013, an estimated domestic market needs crystal sugar of 2.8 million tons, while production of farmers and sugar factory only 2.7 million tons. This could pose a risk of a surge in sugar prices at the retail level. Without adequate protection, cane farmers and sugar factory in Indonesia will be harmed in the long run and stop producing sugar. We need to achieve self- sufficiency in sugar production by conducting land intensification and expansion in all parties starting from smallholder, government, and private industry. It is therefore, we developed a set of system dynamics simulation models to increase the fulfillment ratio of sugar. System dynamics is a computer-aided framework to develop policy analysis and design. It can be applied to dynamic problems arising in complex social, managerial, economic, ecological systems, as well as any dynamic systems characterized by interdependence, mutual interaction, information feedback, and circular causality. Based on the simulation results, the fulfillment ratio can be increased by conducting land expansion and intensification. With land expansion of around 40,000 ha per year for 15 years, government harvested area would be around 606,617 ha in 2030. Fulfillment ratio after land expansion and intensification would be greater than 1 starting from 2020.
Index Terms—Simulation; System Dynamics; Sugar.
14 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Data Mining Application using Association Rule Mining ECLAT Algorithm based on SPMF
Jason Reynaldo and David Boy Tonara Ciputra University [email protected] and [email protected]
Abstract - Data mining is an important research domain that currently focused on knowledge discovery database. Where data from the database are mined so that information can be generated and used effectively and efficiently by humans. Mining can be applied to the market analysis. Association Rule Mining (ARM) has become the core of data mining. The search space is exponential in the number of database attributes and with millions of database objects the problem of I/O minimization becomes paramount. To get the information and the data such as, observation of the master data storage systems and interviews were done. Then, ECLAT algorithm is applied to the open-source library SPMF. In this project, this application can perform data mining assisted by open source SPMF with determined writing format of transaction data. It successfully displayed data with 100% success rate. The application can generate a new easier knowledge which can be used for marketing the product.
Index Terms - data mining; association rule mining; Eclat; SPMF.
Geographic Information Retrieval using Query Aware Document Ranking Method Case Study for Surakarta
Steven Tionardi 1, Viny Christanti M 2, Ery Dewayani 3 1,2,3 Faculty of Information Technology, Tarumanaga University [email protected], [email protected], [email protected] Jl. Letjen. S. Parman no. 1, Jakarta, Indonesia
Abstract—This paper discusses the development of a Geographic Information Retrieval for Surakarta City in Indonesia. Surakarta City was chosen as location of the place in the system because Surakarta got an award for the best tourism spot in Indonesia. In this case, Geographic Information Retrieval is a system that can handle geographic data by analyzing existing text data and generate output that can be used as decision-making on problems related to geographical. The method used in processing the information is Query Aware Document Ranking. The purpose of using this method is to provide relevant results such as output answer, answer’s images and coordinates of the answer.
Index Terms —Geographic Information Retrieval; Language Model; Query Aware Document Ranking; Question Answering.
Spelling Correction for Text Documents in Bahasa Using Finite State Automata and Levinshtein Distance Method Viny Christanti M 1, Niko Susanto 2 and Dali S. Naga 3 1,2,3 Faculty of Information Technology, Tarumanaga University 1) [email protected] , 2) [email protected], 3) [email protected]
Abstract—Any mistake in writing of a document will cause the information to be told falsely. These days, most of the document is written with a computer. For that reason, spelling correction is needed to solve any writing mistakes. This design process discuss about the making of spelling correction for document text in Indonesian language with document's text as its input and a .txt file as its output. For the realization, 5000 news articles have been used as training data. Methods used includes Finite State Automata (FSA), Levenshtein Distance, and N-Gram. The results of this designing process are shown by perplexity evaluation, correction hit rate and false positive rate. Perplexity with the smallest value is a unigram with value 1,14. On the other hand, the highest percentage of correction hit rate is bigram and trigram with value 71,20%, but bigram is superior in processing time average which is 01:21.23 minutes. The false positive rate of unigram, bigram, and trigram has the same percentage which is 4,15%. Due to the disadvantages at using FSA method, modification is done and produce bigram's correction hit rate as high as 85,44%. Index Terms—Finite State Automata; Levenshtein Distance; N-Gram; Spelling Correction
15 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Automatic Essay Scoring in E-learning System Using LSA Method With N-Gram Feature for Bahasa Rico Setiadi Citawan 1, Viny Christanti M 2 and Bagus Mulyawan 3 1,2,3 Faculty of Information Technology, Tarumanaga University 1) [email protected], 2) [email protected], 3) [email protected]
Abstract — In the world of education, e-learning system is a system that can be used to support the educational process. E-learning system is usually used by educators to learners in evaluating learning outcomes. In the process of evaluating learning outcomes in the e-learning system, the form type of exam questions that are often used are multiple choice and short stuffing. For exam questions in the form of essays are rarely used in the evaluation process of educational because of the difference in the subjectivity and time consuming in the assessment process. In this design aims to create an automatic essay scoring feature on e-learning system that can be used to support the learning process. The method used in automatic essay scoring is Latent Semantic Analysis (LSA) with n-gram feature. The evaluation results of the design features automatic essay scoring showed that the accuracy of the average achieved in the amount of 78.65%, 58.89%, 14.91%, 71.37%, 64.49% in the LSA unigram, bigram, trigram, unigram + bigram, unigram + bigram + trigram.
Index Terms—Automatic Essay Scoring; Latent Semantic Analysis; N-Gram; E-learning
Uniform and Non-Uniform Image Enlargement Based on the Window Kernel
I K. Somawirata1, Teguh Herbasuki1, Bambang Prio H.1, Aryuato Soetedjo1 1National Institute of Technology (ITN Malang) [email protected]
Abstract— Several different of image resizing methods have been proposed. However, resizing image in different ratio produces non proportional feature image enlarged and the enlarged image in different ratio with retaining the salient content is limited. This paper proposes an image enlargement method with edge improvement and inpainting method. This method consists of two steps. First, the image enlargement method is used for enlarging an image to the minimum size of the target image. Second, image inpainting method is used for obtaining the full-size image. We have evaluated the proposed method for enlarging an image uniformly and it compares with the typical of image enlargement methods. The uniform image enlarged and image enlarged in different ratio using the proposed method have been presented.
Index Terms— Image enlargement Image inpainting Ratio Window
RFID and IOT for Attendance Monitoring System
1 2 3 Joseph Dedy Irawan , Emmalia Adriantantri , Akh. Farid 1,2Informatics Engineering, National Institute of Technology, Malang, Indonesia 2Industrial Engineering, National Institute of Technology, Malang, Indonesia [email protected]
Abstract— In recent years, RFID technology has been widely used in various sectors, such as in-education, transportation, agriculture, animal husbandry, store sales and other sectors. RFID utilization in education is student attendance monitoring system, by using Internet of Things (IoT) and Cloud technology, it will produce a real time attendance monitoring system that can be accessed by various parties, such as lecturer, campus administration and parents. With this monitoring system if there are students who are not present can be immediately discovered and can be taken immediate action and the learning process can run smoothly.
Keyword- RFID; Internet of Things; Attendance monitoring system; Cloud.
16 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Design and Bandwidth Optimization on Triangle Patch Microstrip Antenna for WLAN 2.4 GHz
Sotyohadi1, Riken Afandi1 and Dony Rachmad Hadi1 1Department of Electrical Engineering, National Institute of Technology (ITN) Malang. Jalan Raya karanglo, Km 2, Malang 65145, East Java, Indonesia. [email protected]
Abstract—In this paper, single and dual element triangle patch microstrip antenna for WLAN 2.4 GHz is designed, analyzed and fabricated. Both proposed design utilized proximity feeding techniques. Afterwards the design is simulated on HFFS and optimized, which finally the dimension of both design for frequency 2.4 GHz is obtained. The best simulation result for both single and dual element triangle patch microstrip antenna is used as reference for fabrication on FR4 substrate with dielectric constant (r) = 4.4 and thickness (h) = 1.6 mm. The measurement result showed that the single element can achieve return loss (S11) -51.913 dB and VSWR 1.0059 at 2.417 GHz, and then for dual element the result for return loss (S1) is -48.2138 for VSWR 1.0078 at 2.463 GHz. Compared to coaxial feeding technique, the proximity feeding has better parameter performance.
Index Terms— Microstrip antenna; Triangle patch; Proximity feeding; Return loss.
Modified Floating Search Feature Selection based on a Genetic Algorithm
Kanyanut Homsapaya1 & Ohm Sornil1 1 Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand Email: [email protected]
Abstract - Classification performance is adversely impacted by noisy data .Selecting features relevant to the problem is thus a critical step in classification and difficult to achieve accurate solution, especially when applied to a large data set .In this article, we propose a novel filter-based floating search technique for feature selection to select an optimal set of features for classification purposes. A genetic algorithm is utilized to increase the quality of features selected at each iteration. A criterion function is applied to choose relevant and high-quality features which can improve classification accuracy .The method is evaluated using 20 standard machine learning datasets of various sizes and complexities .Experimental results with the datasets show that the proposed method is effective and performs well in comparison with previously reported techniques.
Index Terms - feature Selection; genetic algorithm; floating search.
An extended Fuzzy Neural Network and Backtracking Algorithm for improving of image classification
Abdul Haris Rangkuti1, Muhammad Fahri2 1Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 2Faculty of Mathematics and Natural Sciences, University of Gadjah Mada, Jogjakarta, Indonesia [email protected]
Abstract—We propose an extended fuzzy neural network (EFNN) which describes an algorithm to create a class rule based on the training data image. In some data processing is generated redundant rule on 2 or more of data training image. A solution with the problem using backtracking algorithm which will determine the appropriate class rule used by one of the training data image. Thus, every rule has an image of the appropriate class. In the process of inputting the data EFNN algorithm used 7 statistical parameters as a representation of the image characteristics. For feature extraction using wavelet Haar 2, so that the image becomes more leverage and have different characteristics to the representation of the image of the other. all enter from crisp number is converted into fuzzy number with 5 membership function is Very Low, Low, Medium, High and Very High. So that each image is represented by 7 statistical parameters and each parameter is divided into 5 categories. Percentage of accuracy in the classification process by using algorithms EFNN when compared with the original FNN right up above 95 percent for all data trainig.
Index Terms- Extended Fuzzy Neural Network; Backtracking, Fuzzyfication, wavelet haar, statistical parameters
17 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Enhancing Students’ Technopreneurship Projects with Mobile Collaboration and Communication Application
Stephanus Eko Wahyudi1, Kartika Gianina Tileng2, Ian Budi Kurniawan3 1,2,3Universitas Ciputra [email protected]
Abstract—Technopreneurship subjects are a series of 3 semester subjects at Universitas Ciputra. Students usually take these subjects during their final years, which invoke problems, such as: less frequent campus visit, motivation lost, miss milestones deadline, and many more. Information and Communication Technologies application can be used to promote the bond between lecturers/supervisors with students and among the students. Mobile collaboration and communication application allows the students to get notifications, relevant resources, communicate and collaborate. The mobile apps discussed in this paper is part of an integrated system which also include a website. It was developed using SDLC methodology. Firebase cloud service developed by Google is used as the backend, including: Firebase Real-time Database, Firebase Storage, and Firebase Cloud Functions. The result is that the application is easy to use and useful as a mean of support that helps the students to complete the subject series.
Index Terms—About; Collaboration; Communication; Technology Entrepreneur; Mobile Application.
Comparative Analysis of Thresholding Methods in Cancer Cells Image Processing
Daniel Martomanggolo Wonohadidjojo Universitas Ciputra [email protected]
Abstract—Analysis of cancer cell images in medical field needs to be assisted using digital image processing. This paper presents the comparative analysis of image thresholding using two algorithms, Backtracking Search Algorithm and Particle Swarm Optimization. Two experimental designs were implemented. In the first design the images were thresholded and the performance was compared. In the second design, the images were enhanced before the thresholding was performed. In the second, the original and processed image histograms were presented and compared. In both designs, performance metrics were calculated to validate the comparative analysis. In the first experimental design, where BSA and PSO are implemented to threshold lung epidermoid carcinoma and chronic lymphocytic leukemia cell images, the values of MSE, PSNR, MSSIM, FSIM and IEM show the superiority of BSA over PSO. In the second one where the thresholding method is implemented after image enhancement process, the histogram entropy and variance show that the thresholding method using BSA outperforms the one using PSO. These results show that in both designs the BSA outperforms PSO. Therefore, the thresholding method using BSA is more suitable for cancer cells image thresholding in processing the image samples for further analysis. This will provide a more reliable solution and effective way for assisting analysis of cancer cells where it minimize the difficulties arises in the conventional way of manual observation of microscopic images.
Index Terms—Comparative Analysis; Image Thresholding; Backtracking Search Algorithm; Particle Swarm Optimization.
Cloud Computing Point of Sales Development for Indonesia Small Medium Enterprise
Adi Suryaputra Paramita1,Trianggoro Wiradinata1 1University Of Ciputra [email protected],[email protected]
Abstract— The agile development of Internet technology and cloud computing are frequently prevailing create small and medium enterprises (SMEs) have an opportunity to be able to utilize information technology at a cost that is affordable and does not require massive investment. Based on the previous study SME's belief that Point of Sales (POS) based on cloud computing is the alternative technology to accelerate their business. Nowadays not only large- scale business use the Internet in business processes, but many micro enterprises able use it, especially when internet users outside of their organization is also increasing. From the data gathering done by the qualitative methodology from SME's entity, there were features necessary need for Indonesian Small Medium Enterprise and the most important factor in Cloud computing POS infrastructure is reliability, security, and scalability. The result of this study is Point of Sales based on cloud computing for the small-medium enterprise. Index Terms— internet, cloud computing, POS, SME’s, develpment
18 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Call for Paper Information Broadcast Based on Android Application
Fenny Destasia Chan1, Andreas Handojo1,2, Hanny Tabita Listyani1, Ivan Aldinata1, Felicia1 1 Informatics Engineering Department, Petra Christian University 2 Mobile Computing Research Center Petra Christian University Surabaya, Indonesia [email protected]
Abstract - A reliable information is a crucial thing in every event. Participants and the committee expects the fulfillment of information. In this research, writers use smartphone technology to facilitate information broadcast in Call for Paper. The making of information broadcast for Call for Paper application is based on the usage of android smartphones that are relatively popular device to be used by the people in this era. Inside the application, there are some features that can facilitate the users of the application to get the best reading feel. This application also grants the committee some rights to manage the event through website. The making and the design of this application going through three phases. Analysis, Interface design, and code writing. The administrator website is based on HTML 5. And the mobile application are based on Ionic Framework for smartphone application based on Android, and MySQL as database manager and also a test conducted through automatic email, SMS Gateway, and push notification on smartphone. In this research, a Call for Paper application was made to facilitate information broadcasting. The application helps the participants to get information through SMS, notification, and email from their smartphone. After going through the testing process that has been done, this application can also runs their features inside the application.
Index Terms - Call For Paper, Notification, Android, Ionic Framework, Mobile Application, SMS Gateway, AngularJS
Congestion Mitigation Scenario through Public Transportation Improvement
E.Suryani1, R.A.Hendrawan1, P. F. E. Adipraja2, L.P.Dewi3 1Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo - Surabaya 60111, Indonesia 2 STMIK Asia Malang, Indonesia 3 Informatics Engineering, Petra Christian University, Surabaya, Indonesia [email protected]
Abstract— Congestion can be recognized through roads filled with cars, trucks, buses, and sidewalks filled with pedestrians. It usually relates to an excess of vehicles at a particular time resulting in lower speeds, sometimes much slower than normal speeds. Public transportation is a vital element in solving the congestion problem in the city. In Indonesia, currently, we do not yet have easy, safe, and convenient transportation modes to move from one point to another. Therefore, the growth rate of personal vehicles soaring from year to year. Therefore in this research we developed a set of simulation models to mitigate congestion through the improvement of public transportation. As a method we utilized in developing the model, we use system dynamics based on consideration that the method can accommodate nonlinear relationships between factors that have significant contribution to mitigate traffic congestion. Research results show that the improvement of public transportation through comfort, safety, reliability, and affordable cost can mitigate the traffic congestion.
Index Terms—About; model; simulation, system dynamics; transportation mode choice.
19 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
The Benefit of Decision Support System as Sustainable Environment Technology to Utilize Coastal Abundant Resources in Indonesia
Hermawan, S1 1Civil Engineering Department, Petra Christian University [email protected]
Abstract— Being the largest archipelagic state in the world with about 81,000 km of coastline, Indonesia has a great potential for developing the aquaculture industry. In this manuscript, the system for the management of sustainable floating net cage finfish cultures (SYSMAR) of the Decision Support System (DSS) software is applied. This software integrates physical, chemical, biological properties and information on coastal uses to determine site selection, production carrying capacity (CC), ecological CC and socio economic assessment of 18 cases focusing on Grouper mariculture at Talise Island, Galang Island and Ekas Bay. The outcomes of SYSMAR DSS demonstrate that only Galang Island provides suitable area of 12,940 hectares with the estimated production CC of 366 tons/annual/fish farm, ecological CC is limited of 21,727 tons/annual and economic evaluations highlighted are economically viable.
Index Terms - Aquaculture, Indonesia, SYSMAR Decision Support System, , Sustainable
High Spatial Grid Resolution of Hydrodynamic Numerical Modeling for Sea Current Energy Site Selection in Indonesia
Hermawan, S1, Gunawan, H2 1Civil Engineering Department Petra Christian University 2Alumni Civil Engineering Department Petra Christian University [email protected]
Abstract— The need of renewable energy in Indonesia has increased constantly in order to generate electricity, reduce the over depended on fossil fuel and meet energy demand. Tidal sea current energy is one of technology which offers a huge and expected energy resource. This paper present the assessment utilized 2-dimensional numerical models of sea tidal current velocities in the vicinity of Galang Island, Riau Archipelago Province, Indonesia. Simulations were carried out by applying the open source of Delft3D modelling system. To assess the results of hydrodynamic flow models due to the criteria of sea current energy device development, this result demonstrates information at a high spatial grid resolution of 44 m to 52 m and sequential resolution for the suitability assessment within the area of interest. It performs that the potential areas of sea current energy generation possibilities in the vicinity of Galang Island have a current speed greater 2.5 m/s. Keywords- Indonesia, numerical modeling, renewable sea current energy, site selection.
Indonesian Stock Prediction using Support Vector Machine
Murtiyanto Santoso1, Raymond Sutjiadi2 , Resmana Lim1 1 Electrical Engineering Department, Petra Christian University, Surabaya - Indonesia 2 Informatics Engineering Department, Indonesian Computer Institute, Surabaya- Indonesia
Abstract- The project is part of developing software to provide predictive information services based-on artificial intelligence or Machine Learning that will be utilized in the money market community. The prediction method used in this early stages uses the Support Vector Machine (SVM) with Matlab programming. The system predicts the price of IHSG (joint stock price index of Indonesian stocks). Prediction is also done with Astra International (ASII.JK) stock data. The data used taken during 5 year period of Nov 2011 until October 2016 there are total 1297 data. Some data is used for training (700 data) and the remainder (597 data) is used for testing. ASII stock predictions resulted in an accumulated profit account of 4100 points derived from total transactions of 587 trades with profits of 265 (45%). Although the percentage of profit is only 45 percent, but the trading is able to profit as much as 4100 points. In the IHSG index prediction resulted in an accumulated profit account of 1300 points derived from total transactions of 509 trades with profits of 268 (52.6%). With the percentage of successful transactions that reached 52.6 percent of profit. The overall trading using SVM predictions is able to experience the accumulated profit of 1300 points. The percentage of IHSG's profit success reached above 50 percent, indicating that IHSG is more predictable compared to ASII stock (42 percent). But ASII stock can gain bigger profit accumulation compared to IHSG since ASII tend to be more volatile than IHSG
Keywords-SVM, Stock Prediction, Machine Learning, Artificial Intelligent
20 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Surabaya Tourism Destination Recommendation Using Fuzzy C-Means Algorithm
Raymond Sutjiadi1, Adriel Giovani Budihardjo1 and Edwin Meinardi Trianto1 1Informatics Department, Institut Informatika Indonesia, Surabaya, Indonesia [email protected]
Abstract—Determining tourism destination requires various criteria that suitable to the traveler’s needs. Usually travelers explore tourism destination through the internet or have recommendation from their relatives. That way is not informative because most people will recommend well-known tourism destination based on their experience only. In this research, C-Means Fuzzy Clustering is used to build a decision support system in selecting tourism destination in Surabaya, Indonesia. By using this application, the travelers, who want to visit Surabaya city, is not only provided the information related to tourism destination, but also nearest hotel and restaurant that suitable to traveler’s criteria and budget. This application processes the input into the desired output in form of recommendation based on the calculation of degree of membership and center of cluster
Index Terms—Clustering, Fuzzy C-Means, Recommendation System, Tourism Destination.
Saving Matrix Method for Efficient Distribution Route Based on Google Maps API
Timothy John Pattiasina1, Eddy Triswanto Setyoadi1, David Wijayanto1 1Information System Department, Institut Informatika Indonesia, Surabaya, Indonesia [email protected]
Abstract— Distribution is one important factor for the company to be able to distribute goods or products to customers. In the distribution of goods or products, the punctuality of delivery is one of the main factors to improve customer satisfaction. In addition, the company must also consider to save the shipping cost in the delivery of goods to the branch company or customers directly. Therefore, it is necessary to schedule and pinpoint the delivery route appropriately so that the route taken can be more efficient in terms of distance, time, and cost. Saving Matrix is a method to minimize distance, time, and cost to produce an efficient delivery route. In Saving Matrix method requires the distance between the warehouse owned by a company and the destination of goods delivery, originating from the warehouse company. To determine the distance, it is used Google Maps API (Application Programming Interface) service from Google that provides maps containing location information from around the world. On website that has been created, users can directly fill the location of the warehouse, destination location and vehicle data through the website. Then, the website can perform the calculation process by using Saving Matrix method, so that website can show optimal delivery route for users. Index Terms— Saving Matrix method, Distribution, Route, Delivery, Google Maps API.
21 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
ABSTRACT PROCEEDING
Technology Innovation in Electrical and Electronics
22 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Corrosion Protection of Offshore Wind Energy Constructions in Germany - Challenges and Approaches
P. Plagemann1, A. Momber2 1Fraunhofer Institute of Manufacturing Technology and Advanced Materials, Bremen, 2Muehlhan AG, Hamburg, Germany [email protected]
Abstract—The significant increase in the share of renewable energies within the next decades is of high political relevance in Germany. Due to the high availability and rate of yield for wind, offshore wind energy plants are of particular interest. Currently, wind energy plants with power ratings up to 8 MW and rotor blade diameters up to 150 m are raised near the German coast. To operate these devices economically, service lives of 25 years or more are required. Here, corrosion is an important limiting factor, as the devices are constantly exposed to a highly corrosive environment (sea water, saline air). In this presentation, general conditions and specific technical challenges to protect offshore wind energy plants from corrosion are described, and some examples for technical solutions are presented. Some of the reported solutions have been developed in nationally funded joint research projects between research institutions and industry companies, representing the full supply chain for offshore wind energy plants.
Index Terms— Corrosion failure, offshore wind energy plants; protective coatings, repair concepts
Feasibility study for the detection of leave disease using fiber based imaging system
Ruchire Eranga Wijesinghea1, Seung-Yeol Lee2, Naresh Kumar Ravichandrana1, Muhammad Faizan Shirazia1, Deokmin Jeon1, Daeyoung Choi1, Oeon Kwon1, Jaewon Song1, Changseok Kim3, Jin-Seok Bae4, Hee-Young Jung2, Mansik Jeon1, Jeehyun Kim1 1School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk- gu, Daegu 41566, Korea. 2School of Applied Biosciences, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Korea. 3Department of Cogno Mechatronics Engineering, Pusan National University, Busan, 46241, Korea. 4Department of Textile System Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Korea [email protected]
Abstract—Here we describe the possible application of optical coherence tomography (OCT) to inspect Marssonina coronaria infected apple blotch disease of in situ apple leaves. To fulfill the in situ field inspection requirement, we developed a compact portable OCT system. For the confirmation of OCT results, simultaneous experiment was performed in real-time using loop-mediated isothermal amplification (LAMP), which is frequently used in agriculture. LAMP method was developed as an alternative approach for the inspection of disease. We performed field inspection for 30 consecutive days, and all the acquired results from both OCT and lamp were compared to confirm the correlation. A clear identification between healthy specimens, apparently healthy but infected specimens, and infected specimens could be obtained through the real-time OCT images, and the correlation between OCT and lamp results was confirmed through the obtained real-time lamp results. Based on this feasibility study, we conclude that the combination of both these diagnosing modalities can be effective for various novel agricultural discoveries.
Index Terms—Optical coherence tomography, inspection, LAMP, apple blotch, Marssonina coronaria.
23 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Optimum Allocation of Reactive Power Sources for Voltage Stability Improvement and Loss Minimization in Power Distribution Systems
Abraham Lomi1 and F. Yudi Limpraptono2 1,2Department of Electrical Engineering, National Institute of Technology, Malang, INDONESIA E-mail: [email protected]
Abstract—The real power losses in distribution systems are quite appreciable, constituting a major portion of the overall system losses. Low power factors and poor voltage profiles are the main reasons for higher losses and unsatisfactory conditions of power supply to the consumers. Installation of reactive power sources at suitable locations in distribution systems is usually suggested for the dual purpose of achieving improved voltage profiles and reduction in real power losses. Analytical methods are available to find the optimum locations and size of shunt capacitors in primary radial feeders. Most of these methods assume only uniformly loaded radial feeders while very few methods consider feeders with distributed load. However, these methods have limited application and cannot be applied to complex distribution systems, typically urban systems, where the conductor gradation also varies amongst the various feeders. On load transformer tap settings also change the reactive power distribution in the network and hence it is important to account for them while deciding the reactive power compensation requirements in distribution systems. A novel method has been developed for finding the optimum location of feeding point/reactive power compensation point in distribution systems. Results based on the proposed methods and successfully applied to a complex distribution system and an L.T and an H.T radial distribution system are presented. Results on 32-Bus Urban distribution system showed that the system power loss for initial and optimization for case-A and case-B are 23.0, 15.00, and 14.20 MW, respectively.
Index Terms—Reactive power sources, loss minimization, voltage stability, power distribution system
OBD-II (On Board Diagnostic 2) Based Vehicle Management Over GPRS (General Packet Radio Service) Wireless Network for Fleet Monitoring and Fleet Maintenance Management
Hartono Pranjoto1,*, Lanny Agustine1, Mimi Mereditha2 1Lecturer at Widya Mandala Catholic University, Electrical Engineering Department, Indonesia 2 Student at Widya Mandala Catholic University, Electrical Engineering Department, Indonesia ([email protected])
Abstract — The method of extracting parameters of engine, electronics, body and power of commercially manufactured vehicles using OBD-II (On Board Diagnostic version 2) has been widely used. Important parameters from the vehicles are extracted using standard protocols. GPRS (General Packet Radio Service) is an ‘always on’ data service and it is a part of GSM (Global System for Mobile Communications) cellular phone and always on when GMS service is on. With GPRS, a computer connects to the Internet via the wireless network as long there is GSM network. A computer with a Bluetooth® connects to Bluetooth OBD-II onboard a vehicle. The data extraction – P for power train (engine and transmission), B for body, C for chassis, and U for network – uses AT command in the RS- 232 connection. A computer processes the data, and then transmits the data to a datacenter via GPRS wireless network using SIM808. This system uses GPRS because the data is small and the ‘always on’ feature. Data received by the datacenter is processed, and stored in MYSQL format for further use and display with a web browser. An operator with web browser can monitor the vehicle parameters and later remedial actions (maintenance or management) if necessary.
Index Terms—: fleet management; GPRS; internet of things; OBD-II monitoring, vehicle monitoring.
24 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Modified Welch Berlekamp Algorithm to Decode Reed Solomon Codes
Ali Mahmudi1, Sentot Achmadi2, Michael Ardita3 [email protected] Department of Software Engineering, National Institute of Technology (ITN Malang), Malang, Indonesia
Abstract — In this paper, the Reed Solomon Code is decoded using the Welch-Berlekamp Algorithm. The RS Decoder is implemented using Hardware Desciption Language VHDL (VHSIC hardware Description Language) and simulated on Modelsim software. Some modifications have been carried out on the Welch Berlekamp Algorithm in such a way that it is easier to implement. A pilot design double error correction RS(63, 59) decoder has been written in VHDL and simulated. The XILINX FPGA layout RS(63, 59) is then obtained.
Index Terms—: Reed Solomon code, Welch Berlekamp Algorithm, Hard decision decoding, FPGA
Emotion Recognition using cvxEDA-based Features
H. Ferdinando1,2, E. Alasaarela1 2Health and Wellness Measurement group, Opoelectronics and Measurement Technique unit, University of Oulu, Finland 2Department of Electrical Engineering, Petra Christian University, Indonesia [email protected]
Abstract—The MAHNOB-HCI database provides baselines for several modalities but not all. Up to now, there is no such baselines using EDA signal for valence and arousal recognitions. Because EDA is one of the important signals in affect recognition, it is necessary to have baseline accuracy using this signal. Applying cvxEDA, EDA tool analysis based on a convex optimization, to GSR signals resulted phasic, tonic, and sudomotor neuron activity (SMNA) phasic driver. There were two sets of features extracted, i.e. features from stimulated stage only and ratio of features from stimulated to relaxation stages in addition to the former set. Using kNN to solve 3-class problem, the best accuracies under subject-dependent scenario were 74.6 ± 3.8 and 77.3 ± 3.6 for valence and arousal respectively while subject-independent scenario resulted 75.5 ± 7.7 and 77.8 ± 8.0 for valence and arousal correspondingly. Validation using LOO gave 75.2% and 77.7% for valence and arousal respectively. cvxEDA method looked promising to extract features from EDA as the results were even better than the best results in the original database baseline. Some future works are using other feature extraction method, enhancing the accuracies by employing supervised dimensionality reduction and using other classifiers.
Index Terms—cvxEDA; EDA; Emotion recognition; Mahnob
Design of Monitoring Tool Heartbeat Rate and Human Body Temperature Based on WEB
1 Jalinas, 2Wahyu Kusuma R., 3Bobby Putra E.W 1JDepartement of Computer System, Gunadarma University 2,3Departement of Electrical Engineering, Gunadarma University [email protected]
Abstract-- The heart is one of the most important organs in the human body. One way to know heart health is to measure the number of heartbeats per minute, and body temperature also shows health, many heart rate and body temperature devices but can only be accessed offline. This research aims to design a heart rate detector and human body temperature that the measurement results can be accessed via web pages anywhere and anytime. This device can be used by many users by entering different ID numbers. The design consists of input blocks: pulse sensor, DS18B20 sensor and 3x4 keypad button. Process blocks: Arduino Mega 2560 Microcontroller, Ethernet Shield, router and USB modem. And output block: 16x2 LCD and mobile phone or PC to access web page. Based on the
25 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
test results, this tool successfully measures the heart rate with an average error percentage of 2.702% when compared with the oxymeter tool. On the measurement of body temperature get the result of the average error percentage of 2.18%.
Index Terms— Monitoring tool; Heartbeat rate; Body Temperature; Pulse Sensor
Study Of Static Under Frequency Load Shedding On IEEE 3 Generator 9 Bus System Caused Of Transient Condition
Irrine Budi Sulistiawati1, Aga Dia Priasmoro2, Abraham Lomi3, Ardyono Priyadi4, Ibrahim Azhari5 1,2,3,5Departement of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia. 4 Departement of Electrical Engineering, Institut Teknologi Sepuluh November ITS, Keputih, Sukolilo 6011, Indonesia. [email protected]
Abstract— Electrical energy supply at generator must increase equals with addition of load in power system. Disturbance in a system causes the system easily turn into transient condition. This research will be performed at IEEE 3 generator 9 bus system, where lost of generator disturbance occurs because of 3 phase short circuit in bus 3. When 3 phase fault happen, the frequency become 52 Hz, while the voltage become 161 KV or 0,7 p.u to save the system from damaged because the frequency increment, we have to release generator to decrease the frequency system. After generator was released, frequency decrease into 42,5 Hz while voltage turn to 207 KV or 0,9 p.u respectively. As a result, it was obtained that load shedding time is at fourth second with the load must be released is 92,64 MW. After load shedding, frequency become 49,13 Hz with frequency increase percentage as much as 13%, while the voltage become 241 KV or 1,049 p.u, with voltage increase percentage as much as 14,9%. Index Terms— Frequency and voltage; Loss generator; Static Under-Frequency Load Shedding; Three Phase Short circuit.
Human Arm Movement Detection Using Low Cost Sensors for Controlling Robotic Arm
A.Soetedjo, I.K.Somawirata, A.Irawan Department of Electrical Engineering, National Institute of Technology Malang, Indonesia [email protected]
Abstract—This paper presents the development of a wearable device to detect the human arm movement for controlling the robotic arm remotely. The proposed system employs the simple and low cost sensors consist of seven potentiometers and one flex sensor. A small size Arduino Nano microcontroller is employed as the processing unit to process the analog signal from the sensor into the digital value which is then sent to the robotic arm via the Bluetooth communication. The experimental results show that the system achieves a good linearity between the human arm movement and the robotic arm movement. The average linearity error of the whole sensors that represents the deviation of sensor output from the ideal one is 2.20%. Since the sensors are simple and low cost, the error could be acceptable for the real implementation.
Index Terms—Human arm detection; Robotic arm; Potentiometer; Flex sensor.
Indonesian Batik Image Classification Using Statistical Texture Feature Extraction Gray Level Co-occurrence Matrix (GLCM) and Learning Vector Quantization (LVQ)
Nafik’ah Yunari1 , Eko Mulyanto Yuniarno1.2 , Mauridhi Hery Purnomo1.2 1Department of Electrical Engineering, 2Department of Computer Engineering, 1.2Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia [email protected], [email protected], [email protected]
Abstract—Batik,as a cultural heritage from Indonesia, have two kinds of true batik, Batik tulis or handwritten batik and Batik Cap or Stamped Batik. However, it is still difficult to discern what is really batik and which are not. So many clothes are claimed as batik whereas they aren’t. These pseudo batiks have spread on the market and become deceitful. The objective of this research is to obtain the pattern value of batik to recognize the real batik using feature texture extraction with Gray Level Co-occurrence Matrix (GLCM) as a method for extracting textural features and
26 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Artificial Neural Network Learning Vector Quantization (LVQ) as a method to classify. Result of this study shows the average accuracy of data training without normalization of 90.43% and data with normalization of 98.40%. While on data testing the average value of accuracy on the datases without normalization of 92.79% after normalization the average value 98.98%, so the increase in the average value of accuracy of 8%. Index Terms — Batik; Indonesian Batik; Image; Texture feature; GLCM; LVQ.
Improvement of Voltage Stability due to Integration of the Celukan Bawang Power Station to the Bali 16-bus System
Ni Putu Agustini 1, and I Made Wartana 2 1,2 Electrical Department, National Institute of Technology (ITN) Malang, Jl. Bend. Sigura gura No. 2 Malang [email protected]
Abstract— A significant power system occurrence, the voltage stability of the system due to the integration of new generation into the grid, has been investigated in this paper by using a continuous power flow (CPF) method consisting of successive load flows. Since one of the solutions to prevent voltage instability causing voltage collapse is by controlling the system's reactive power limit, in this study the effect of placing the Shunt FACTS controller, Static Var Compensator (SVC), into the grid against the voltage stability has been investigated. An accurate controller model supported by the PSAT (Power System Analysis Tool) is used to studied the voltage stability of the system. Effectiveness of the proposed method has been examined on the 16-bus Bali practical test system due to the integration of the Celukan Bawang Power Station and by detected the bifurcation point. Moreover improving of voltage magnitude profile and line power loss (Ploss) of the system are also investigated.
Index Terms— Continuation Power Flow, SVC, Voltage Stability, Voltage Collapse.
Remote Spectrum Analyzer based on Web Software Defined Radio for Use in Telecommunication Engineering Remote Laboratory
F. Yudi Limpraptono, Eko Nurcahyo Department of Electrical Engineering, National Institute Of Technology Malang [email protected]
Abstract— Software defined radio (SDR) is a new paradigm in the design of wireless communication devices. Currently SDR technology is widely used in the field of telecommunications such as mobile phones and is very popularly used on amateur radio. SDR technology not only can be used for radio transceiver system, but SDR can also be used as spectrum analyzer. The spectrum analyzer is an instrumentation that is needed by researchers in the field of telecommunications and amateur radio activists. The problem of researchers and amateur radio activists is how to use spectrum analyzers that can be accessed remotely, so that they can observe spectrum of the radio frequency that produced by their communication devices remotely when they experiment with the radio transmitters or antenna. From this background, this research proposes the development of a remote spectrum analyzer system based on web software defined radio. Remote spectrum analyzer will be integrated with remote laboratories that can be accessed by the wider community either by researchers, amateur radio activists, and students at educational institutions, by accessing it through the internet network.
Index Terms— Web Software Defined Radio, Embedded System, Remote Laboratory .
Implemetation of Mamdani and Sugeno Method for Load Forecasting: A Case Study of Malang City
Yusuf Ismail Nakhoda, Ni Putu Agustini, Ikhzanul Bagus Ariyanto, and Abraham Lomi Department of Electrical Engineering, National Institute of Technology, Malang, Indonesia E-mail: [email protected]
Abstract—The growth in energy consumption in many developing countries has outstripped existing projections, and accordingly, the uncertainties of forecasting have increased. Variables such as economic growth, population, and
27 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
efficiency standards, coupled with other factors inherent in the mathematical development of forecasting models, make accurate projection difficult. The objective of load forecasting is the predicting of electric power required to meet the short term, medium term, or long term demand, planning and operation of the utility companies to their customers. Large energy consumption in a period of time have to predict and calculate in a special manner in order to plan and manage the operation of the power plant. Load forecasting enables the utility company to plan well the future consumption or load demand and also minimize the risks for the utility company. Therefore, an accurate method is needed to forecast loads, as is an accurate model that takes into account the factors that affect the growth of the load over a number of years. In this paper, a method of Mamdani and Sugeno to predict the electrical load forecasting is implemented. The supporting data used in this paper was adopted from Polehan and Blimbing Substations from 2011-2020. As a result, the average value of MAPE by Mamdani and Sugeno method are 2.49% and 1.16% respectively. It can be concluded that Sugeno method is met the load forecasting than Mamdani.
Index Terms— Long-term electric load forecasting, fuzzy logic, Mamdani and Sugeno, MAPE.
Determination of Generator Steady State Stability Limit for Multi-machine System based on Network Losses Concept
Irrine Budi Sulistiawati 3, Rusilawati1, 2, Adi Soeprijanto 1 and Rony Seto Wibowo1 1 Department of Electrical Engineering Institut Teknologi Sepuluh Nopember Surabaya, Indonesia. 2 Department of Electrical Engineering Akademi Teknik Pembangunan Nasional Banjarbaru, Indonesia. 3 Department of Electrical Engineering Institut Teknologi Nasional Malang, Indonesia. [email protected]
Abstract— In the multi-machine circumstances, it is difficult to analyze the steady state stability of each generator. In previous research, analysis of the steady state stability limit has been carried out but only look at the stability of the overall system. Therefore, to analyze the stability of each generator, the multi-machine system must be changed into a Single Machine to Infinite Bus (SMIB) system by collecting all the loads into one central load in the infinite bus. The method to change from the multi-machine system to SMIB system is presented in this paper. The multi-machine system is converted into an equivalent impedance ( req and xeq ) and an equivalent load based on losses concept. After req and xeq is calculated, then by using steady state stability limit concept, the value of the maximum generation of each generator units can be determined. By means of maximum generation is the maximum output power limit that can be generated without causing unstability.
Index Terms— the losses concept; equivalent resistance; equivalent reactance; maximum generation; generator steady state stability limit.
Electrolysis Synthesis, and Characterization Properties of Nickel Oxide Nanoparticle
Yanatra Budi Pramana1, Yunia Dwie Nurcahyanie 2, Muhamad Abdul Jumali 3 ,Rhenny Ratnawati3 and Sugito 4 1 , 2, 3 Lecture of Industrial Engineering, 4,5Lecture Environmental Engineering.) Faculty of Engineering, University of PGRI Adi Buana Surabaya [email protected]
Abstract— Synthesis nickel oxide nanoparticles based on electrolysis method at high voltage (55 V), with concentration natrium citrate optional condition at 0.3 M. The nickel oxide nanoparticles sample were characterized using, X-Ray Diffraction (XRD), Fourier Transform Infrared spectrometer (FTIR), Thermo gravimetric analysis (TGA), Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM). XRD result show diffractogram from the product have same lattice with standart ICDD, Thermogram shows at temperature above 400 ºC already formed nickel oxide nanoparticles. Spherical nanoparticles were obtain by this method.
Index Terms - NiO, Ni(OH)2, electrolysis synthesis.
28 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
A Preliminary Study of Technical Feasibility for Mobile Phone Remanufacturing in Indonesia
Yopi Y. Tanoto1, Shu-San Gan2, Didik Wahjudi3, and Juliana Anggono4 1,2,3,4 Mechanical Engineering Department, Petra Christian University- Indonesia [email protected]
Abstract— Remanufacturing is an important element in making sustainable production and consumption in our society. Unfortunately, remanufacturing is not well-developed in Indonesia yet, especially compared to developed countries. To start a remanufacturing process, it is necessary to know the feasibility technically, economically and environmentally. This paper aims to find out whether the remanufacturing of mobile phones is technically feasible to be done in Indonesia. Mobile phone is chosen because it is one of the biggest e-waste takers lately. Four mobile phone brands are selected for this purpose. The method used in this research was qualitative survey, which was conducted at the service center of each brand. From this research we find some barriers and facilitators in the remanufacturing implementation. In addition, we propose some attributes in every step of the remanufacturing process. It can be concluded that technically, remanufacturing of mobile phones in Indonesia can be implemented. There are notable processes in every step of remanufacturing that affect the feasibility of mobile phone remanufacturing, such as the selection of phone types and the meticulousness in every step to avoid damage during the remanufacturing process.
Index Terms - mobile phone, remanufacturing, technical feasibility
Green Industrial System in Indonesia
Fourry Handokoa , Ellysa Nursantia2, Gatota3, Lalu Mulyadib, Julianus Hutabarata, Kustamarc, Martinus Edwin Tjahjadid
aIndustrial Engineering Department, National Institute of Technology (ITN) Malang bArchitecture Engineering Department, National Institute of Technology (ITN) Malang cCivil Engineering Department, National Institute of Technology (ITN) Malang dGeomatics Engineering Department, National Institute of Technology (ITN) Malang [email protected]
Abstract - The Indonesian government has initiated the ‘Kebijakan Produksi Bersih’, (Clean Production Policy) a policy to achieve cleaner production. However, the program has not been well organised. Generally industries in Indonesia have only oriented on a short-term financial gain. The lack of green and sustainable concept have reduced the competitiveness of the organisation due to the low capability to meet the international standard of ISO 14000. One of the important thing of being ‘green’ is our capability to deal with the pollution. Continuous improvement to achieve the capability to overcome the pollution problem will lead into tangible and intangible benefit. It is therefore the green productivity is crucial. In this research, the concept of green produtivity and continuous improvement approah are utilised to overcome the problems of pollution in manufacturing industries.
Index Terms - green, continuous improvement, industrial system, productivity
A Comparison of Real Time Extraction between Chebyshev and Butterworth Method for SSVEP Brain Signals
Dwi Esti Kusumandari and Arjon Turnip Technical Implementation Unit for Instrumentation Development, Indonesian Institute of Sciences, Indonesia Emails: [email protected], [email protected]
Abstract— In this paper, a comparison of real time extraction using the IIR Chebyshev of 4 order and the IIR Butterworth of 6 order methods is proposed. In the Experiment, the steady state visual evoked potential with stimuli frequencies of 7,5 10, 15, and 20 Hz is used to control the wheelchair directions (i.e., stop, forward, right, and left). The data were collected from a session in which fourteen subjects with age about 24±2 years were tested. The total
29 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
average classification accuracy of 82% and 62.2% for Chebychev and Butterwoth extraction method are achieved. The higher average classification acuracy of 100% and 92.8% for both methods, respectively, are obtained for forward direction (8.75-12.5Hz).
Index Terms — Chebyshev; Butterworth; Feedforward Neural Networks; Feature extraction; Classification; EEG- SSVEP; BCI
Modeling of Energy Production of Sengguruh Hydropower Plant Using Neuro Fuzzy Network
Daniel Rohi Electrical Engineering Department Petra Christian University Jl. Siwalankerto 121 – 131 Surabaya Indonesia. Telp. +620312983445 Email : [email protected]
Abstract - The hydroelectric power plant needs to be operated carefully to obtain optimal results, as it is highly dependent on water availability. Factors to take into account are the water discharge and the duration of time for the operation. Decomposition analysis method is the method chosen to manage the operation of hydropower. This paper discusses the hydropower operation model using artificial intelligence with Neuro Fuzzy Takagi-Sugeno (NFTS) network technique. Hydropower plants selected for modeling is Sengguruh Hydroelectric Power Plant with a capacity of 29 MW. This model was developed using three factors as input that is the discharge of water, turbine water discharge and duration of operation time, as output that is electric energy production. The data used is operating data for one year, from January to December. Testing the model shows satisfactory results because the model has revealed the real conditions and errors that occur on the network is below 6.7%.
Index Terms - Hydropower, water discharge, neuro fuzzy
Performance of Resevoir Hydroelectric Power Plants in Indonesia: A Case Study of Sutami Hydropower Plant
Daniel Rohi Electrical Engineering Department Petra Christian University Jl. Siwalankerto 121 – 131 Surabaya Indonesia. Telp. +620312983445 Email : [email protected]
Abstract - The hydroelectric power plant needs to be maintained in order to keep operating with the maximum performance, to ensure the sustainability of the supply of electrical energy, especially at peak load conditions. Performance analysis of hydropower is done on a regular basis to ensure productivity. Operating performance is determined by the performance of dams as water providers, equipment operating performance and production targets of electrical energy. This research is based on qualitative and quantitative information. Primary data is taken from field visits to power plants as an object of study. Secondary data are collected from multiple sources to ensure the quality of the analysis. Sutami Hydropower plant with a capacity of 105 MW and has been operating for 45 years. The results of the study indicate that the Sutami hydropower is still operating with maximum performance indicated by the production of energy that exceeds the target, the pattern of dam operation is still effective as a benchmark and the failure rate of minimal operations.
Index Terms - Hydropower, Performance Analysis, peak load
Investigation of voltage quality in cement industry in Indonesia: Case study of PT Semen Kupang
Julius Sentosa, Daniel Rohi, Yoanne Flantine Mozes Department of Electrical Engineering, Petra Christian University Jalan Siwalankerto 121-131, Surabaya 60236, Indonesia Email: [email protected]
Abstract - The decline in the quality of electric power becomes a serious problem in the industrial sector and affects a significant cost loss. One of the dominant power quality problems is the voltage dip. The use of electric motors in industry becomes one of the main causes. This paper discusses the investigation of voltage dip problems at
30 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
the cement factory. The cement factory uses an induction motor as the prime mover and is proven to trigger a voltage dip because of its high starting current. Based on the disturbance data, then made a single line diagram, then analyzed with a replacement circuit found that when the induction motor start causes a very significant voltage drop that is 20.43% - 62.26%. The voltage dip correlates to the capacity of the induction motor used. The larger the capacity of the induction motor, the larger the voltage dip occurs.
Index Terms - power quality, voltage dip, induction motor
Brain Computer Interface for Controlling RC Car Using EEG Emotiv Epoc+
Thomas Setiono1, Andreas Handojo1, Rolly Intan1, Resmana Lim2,* Department of Informatics, Petra Christian University Jalan Siwalankerto 121-131, Surabaya 60236, Indonesia Email: [email protected]
Abstract— The project presents a system of remote controll (RC) car/mobile robot using EEG brain signals. The project hardware composed of Emotiv Epoc+ EEG headset, Computer, Wifi Router, and Arduino ESP8266 Wemos D1. The BCI project is used for remote commands to a mobile robots. User navigates the robot to be moved towards the specified position. Two volunteers have been participated in the experiment. He sits in a chair looking at the monitor screen with 3 picture boxes flashing with each frequency of 12 hz (forward), 15 (turn right), and 20 (turn left). The project used method of SSVEP and SVM pattern recognition. The recognition rate achieved 88% for the left command, 91% for the right command, and 90% forward command.
Index Terms — BCI; Emotiv EPOC; CSP;SVM;mobile robot
Forward / Inverse Kinematic Simulator Software Using Unity Engine
Handry Khoswanto Department of Electrical Engineering, Petra Christian University Jalan Siwalankerto 121-131, Surabaya 60236, Indonesia Email: [email protected]
Abstract - Robot manipulator is a technology that is widely used in all life applications. Because of the widespread use of robot manipulators, then given robotics learning for students interested in robotics in Electrical Engineering courses. The price of the robot is relatively high, and the existence of mathematical calculations become obstacles. This paper is made to answer the above problem. This application is made with Unity engine with C # programming language. This application simulates the movement of robots either forward or inverse kinematic with the limits of DOF 2 and DOF 3. A similar application that is a comparison is RoboAnalyzer. The resulting program is close to the mathematical calculation, simulator movement, and the resulting line. For kinematic inverse results only show one result, whereas in the comparison program displays the possibility of 2-4 answers. The deficiency of this simulator is rotated view on Android.
31 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Web-based Robotics Laboratory
Petrus Santoso1, Handry Khoswanto1, and Iwan Njoto Sandjaja2 1Department of Electrical Engineering, Petra Christian University 2Department of Informatics Engineering, Petra Christian University [email protected]
Abstract — In the education world, the number of web-based system is growing substantially in the past few years. Many web-based teaching tools has been developed to help students expand his knowledge. This paper presents a web-based laboratory to augment learning experiences in the field of robotics. The laboratory consists of a robotic arm with laser pointer, projection platform and web-based interface. The laboratory is used to learn about inverse kinematics and forward kinematics. Students enter the input parameters through web interface, server calculate output parameters and sent it to the robot. The web interface displays the movement result and turn on the laser pointer to the projection field. Preliminary testing shows that the system working as expected.
Index Terms—Web-based Laboratory; Robotics; Education;
3D Simulator Design using Discrete–Multi-Piston Actuators
Roche Alimin, [email protected], Mechanical Engineering Department, Petra Christian University, Surabaya, Indonesia; Felix Pasila, [email protected], Electrical Engineering Department, Petra Christian University, Surabaya, Indonesia
Abstract — Generally, 3D simulator uses continuous feedback control system to control their actuator states. The objective of this article is to control the movement of actuators in compliance with 3D position required by simulator. This research uses discrete actuator for 3D simulator with four actuators which is open-loop controlled using Neuro- fuzzy control system. The actuator possess linear pneumatic actuator with three pistons inside where each piston has independent intake. With the proposed design, the actuator able to give degree of discrete not only 2 (binary) values but 26 combination of discrete values. The 3D simulator proposed in this research have four actuators and 2 passives like-actuator. This configuration gives 4 degree of freedom of platform movement. Applying force to the actuator using discrete output controller make possible to get more precise in terms of control and movement of the simulator that very useful for many force control applications.
Spelling Correction for Text Documents in Bahasa Using Finite State Automata and Levinshtein Distance Method Viny Christanti M 1, Niko Susanto 2 and Dali S. Naga 3 1,2,3 Faculty of Information Technology, Tarumanaga University 1) [email protected] , 2) [email protected], 3) [email protected]
Abstract—Any mistake in writing of a document will cause the information to be told falsely. These days, most of the document is written with a computer. For that reason, spelling correction is needed to solve any writing mistakes. This design process discuss about the making of spelling correction for document text in Indonesian language with document's text as its input and a .txt file as its output. For the realization, 5000 news articles have been used as training data. Methods used includes Finite State Automata (FSA), Levenshtein Distance, and N-Gram. The results of this designing process are shown by perplexity evaluation, correction hit rate and false positive rate. Perplexity with the smallest value is a unigram with value 1,14. On the other hand, the highest percentage of correction hit rate is bigram and trigram with value 71,20%, but bigram is superior in processing time average which is 01:21.23 minutes. The false positive rate of unigram, bigram, and trigram has the same percentage which is 4,15%. Due to the disadvantages at using FSA method, modification is done and produce bigram's correction hit rate as high as 85,44%. Index Terms—Finite State Automata; Levenshtein Distance; N-Gram; Spelling Correction ; discrete-multi-piston; force control; neuro-fuzzy control
32 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017) Mercure Bali Harvestland, Kuta, Bali - Indonesia, 26-29 September 2017
Understanding a Deep Learning Technique through a Neuromorphic System
Indar Sugiarto, Felix Pasila Department of Electrical Engineering, Petra Christian University {indi, felix}@petra.ac.id
Abstract-Deep learning has been considered as a breakthrough technique in the field of artificial intelligence and machine learning. Conceptually, it relies on a many-layer network that exhibits a hierarchically non-linear processing capability. Some deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks have been developed and applied to many fields with incredible results, even comparable to human intelligence. However, many researchers are still skeptical about its true capability: can the intelligence demonstrated by deep learning technique be applied for general tasks? This question motivates the emergence of another research discipline: neuromorphic computing (NC). In NC, researchers try to identify the most fundamental ingredients that construct intelligence behavior produced by the brain itself. To achieve this, a neuromorphic systems are developed to mimic the brain functionality down to cellular level. In this paper, a neuromorphic platform called SpiNNaker is described and evaluated in order to understand its potential use as a platform for a deep learning approach. This paper is a literature review that contains comparative study on algorithms that have been implemented in SpiNNaker.
Keywords-machine learning, artificial intelligence, neuromorphic system, SpiNNaker
IoT-Based Car's Parking Monitoring System
Albertus Ega Dwiputra, Handry Khoswanto, Resmana Lim Electrical Engineering Department, Petra Christian University, Surabaya, Indonesia [email protected]
Abstrak- Internet-of-things-based technologies have advanced so much and helped public necessities. The use of IoT at a parking lot will help vehicle users to know the availability of a parking location through smartphones. This IoT-based parking system is created by using controllers, sensors, servers, and Cloud. Controllers and sensors will be placed on the ceiling of each parking slots to detect the presence of a car. Server collect the results of the sensors and store them in Cloud. System test is conducted by installing three sensor circuits and server in a parking lot. The tests consist of measuring time that required for data transmission and the rate of success of data transmission from the parking lot to the Cloud. Based on above tests, it is observed that the sensor circuit and RFID are able to transmit the parking lot data without error. This system require maximum 1 minute to update parking lot data. The process of obtaining data until the data being stored in Cloud takes 12 seconds and the process of acquiring parking condition data from Cloud to smartphone takes 30 seconds. The accuracy level of parking lot data transfer is 100% with a maximum data update interval of 1 minute.
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