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Gani, Firdaus K.; Rahmad Hidayatullah S; Wahyudi, Rahmat Faisal; Hidayatullah, Satria Nur
Article Controlling Windu shrimp quality using apriori algorithm through smartphone-based application
The International Journal of Management Science and Information Technology (IJMSIT)
Provided in Cooperation with: North American Institute of Science and Information Technology (NAISIT), Toronto
Suggested Citation: Gani, Firdaus K.; Rahmad Hidayatullah S; Wahyudi, Rahmat Faisal; Hidayatullah, Satria Nur (2015) : Controlling Windu shrimp quality using apriori algorithm through smartphone-based application, The International Journal of Management Science and Information Technology (IJMSIT), ISSN 1923-0273, NAISIT Publishers, Toronto, Iss. 18, pp. 49-54
This Version is available at: http://hdl.handle.net/10419/178815
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Editorial Review Board
Adem Ögüt, Selçuk University Turkey, Turkey Alexander B. Sideridis, Agricultural University of Athens, Greece Alexei Sharpanskykh, VU University Amsterdam, The Netherlands Ali Kara, Pennsylvania State University -York, York, USA Angilberto Freitas, University of Grande Rio, Brazil Arminda do Paço, University of Beira Interior, Portugal Arto Ojala, University of Jyväskylä, Finland Carla Marques, University of Tras-os-Montes e Alto Douro, Portugal Carla Pereira, University of Beira Interior, Portugal Cem Tanova, Çukurova University, Turkey Cristiano Tolfo, Universidade Federal de Santa Catarina, Brazil Cristina S. Estevão, Polytechnic Institute of Castelo Branco, Portugal Dario Miocevic, University of Split, Croatia Davood Askarany, The University of Auckland Business School, New Zealand Debra Revere, University of Washington, USA Denise Kolesar Gormley, University of Cincinnati, Ohio, USA Dickson K.W. Chiu, Hong Kong University of Science and Technology, Hong Kong Domènec Melé, University of Navarra, Spain Dina Miragaia, University of Beira Interior, Portugal Emerson Mainardes, FUCAPE Business School, Brazil Eric E. Otenyo, Northern Arizona University, USA George W. Watson, Southern Illinois University, USA Gilnei Luiz de Moura, Universidade Federal de Santa Maria, Brazil Jian An Zhong, Department of Psychology,Zhejiang University, China Joana Carneiro Pinto, Faculty of Human Sciences, Portuguese Catholic University, Lisbon, Portugal Joaquín Alegre, University of Valencia, Spain Joel Thierry Rakotobe, Anisfield School of Business, New Jersey, USA Jonathan Matusitz, University of Central Florida, Sanford, FL , USA Kailash B. L. Srivastava, Indian Institute of Technology Kharagpur, India Karin Sanders, University of Twente,The Netherlands Klaus G. Troitzsch, University of Koblenz-Landau, Germany Kuiran Shi, Nanjing University of Technology, Nanjing, China Liliana da Costa Faria, ISLA, Portugal Luiz Fernando Capretz, University of Western Ontario, Canada Lynn Godkin, College of Business, USA Maggie Chunhui Liu, University of Winnipeg, Canada Marcel Ausloos, University of Liège, Belgium Marge Benham-Hutchins, Texas Woman's University,Denton, Texas, USA María Nieves Pérez-Aróstegui, University of Granada, Spain Maria Rosita Cagnina, University of Udine, Italy Mayumi Tabata, National Dong Hwa University,Taiwan Micaela Pinho, Portucalense University and Lusíada University, Portugal Paolo Renna, University of Basilicata, Italy Paula Odete Fernandes, Polytechnic Institute of Bragança, Portugal Paulo Rupino Cunha, University of Coimbra, Portugal Peter Loos, Saarland University, Germany Pilar Piñero García, F. de Economia e Administración de Empresas de Vigo, Spain Popescu N. Gheorghe, Bucharest University of Economic Studies, Bucharest, Romania Popescu Veronica Adriana, The Commercial Academy of Satu-Mare and The Bucharest University of Economic Studies, Bucharest, Romania Ramanjeet Singh, Institute of Management and Technology, India Ricardo Morais, Catholic University of Portugal Ruben Fernández Ortiz, University of Rioja, Spain Ruppa K. Thulasiram, University of Manitoba, Canada Soo Kim, Montclair State University,Montclair, NJ, USA Wen-Bin Chiou, National Sun Yat-Sem University, Taiwan Willaim Lawless, Paine College ,Augusta, GA, USA Winston T.H. Koh, Singapore Management University, Singapore The International Journal of Management Science and Information Technology (IJMSIT)
NAISIT Publishers
Special Issue: 14th Indonesian Scholars International Convention
Table of Contents
1 EDITORIAL:REDISCOVERING THE POTENTIALS OF INDONESIA FACING THE CHALLENGES IN THE ASEAN REGION BENNY TJAHJONO, Cranfield University, Cranfield DESSY IRAWATI, BNI BANK Business Representative in the Netherlands, Netherlands
3 CONSERVING INDONESIA'S NATURE AND CULTURE THROUGH EMPOWERMENT OF INDIGENOUS TECHNOLOGY IN CREATIVE INDUSTRY SMES ELZAVIRA FELAZA, Universitas Indonesia, Indonesia
11 COALBED METHANE - AN UNCONVENTIONAL - CLEAN ENERGY. THE FORMING, EXTRACTION, AND POTENTIAL OF INDONESIA'S COALBED METHANE AS FUTURE SOURCE ENERGY FOR INDONESIA LUCY KARTIKASARI, Institut Teknologi Bandung, Indonesia TRISNA SUNTARA, Institut Teknologi Bandung, Indonesia
20 INDONESIAN MARINE BIODIVERSITY AS A SUSTAINABLE RESOURCE TO SUPPORT INDONESIAN PHARMACEUTICAL INDUSTRY IN ASEAN PHARMACEUTICAL MARKET ANDIKA PUTRA RIANDY, Sriwijaya University, Indonesia ALVIONITA HANDAYANI, Sriwijaya University, Indonesia
25 RUMAH TAHU MANDIRI ENERGI (RTME) : NEW PATTERN ON TOFU PRODUCTION WITHOUT FOSSIL FUEL CONSUMPTION IN SENTRA TAHU CIBUNTU, BANDUNG, WEST JAVA AGUS RAMELAN , Indonesia University of Education , Indonesia NOVIA ANGGRAENI , Indonesia University of Education , Indonesia
34 APPLYING NANO-CARBON AS COATING MATERIAL FOR SLOW-RELEASED FERTILIZER TO INCREASE INDONESIAN RICE YIELD AND TO REDUCE NITROGEN LOSS IN SURFACE WATER OF PADDY SOIL ANDIKA PUTRA RIANDY, Universitas Sriwijaya, Indonesia DINI FUADILAH SOFYAN, Universitas Sriwijaya, Indonesia
41 IMPROVING WADUK JATILUHUR'S FISHERIES PRODUCTS TOWARDS ASEAN GLOBAL MARKET BY ESTABLISHING AQUACULTURE COOPERATIVE DIMAS GELAR PAMUNGKAS , University of Indonesia, Indonesia KARTIKA SUKMATULLAHI, University of Indonesia, Indonesia HAFIQI AMHARIPUTRA, University of Indonesia, Indonesia
49 CONTROLLING WINDU SHRIMP QUALITY USING APRIORI ALGORITHM THROUGH SMARTPHONE-BASED APPLICATION FIRDAUS K. GANI, Telkom University, Indonesia RAHMAD HIDAYATULLAH S, Telkom University, Indonesia RAHMAT FAISAL WAHYUDI , Telkom University, Indonesia SATRIA NUR HIDAYATULLAH, Telkom University, Indonesia
55 DEVELOPMENT OF VOCATIONAL MARINE SCHOOLS IN INDONESIA AS A STRATEGY FOR REDISCOVERING INDONESIA'S MARITIME POTENTIAL IRFAN TEGUH PRIMA, Universitas Indonesia, Indonesia M. HAZMI ASH-SHIDQI, Universitas Indonesia, Indonesia OPI ARISTYA, Universitas Indonesia, Indonesia
63 THE UTILIZATION OF TECHNOPRENEURSHIP TO DEVELOP INDONESIAN GEOGRAPHICAL INDICATION PRODUCTS MONICA DWIYANTI, University of Indonesia, Indonesia HANS TOPRIL, University of Indonesia, Indonesia ANTONIUS SATRIA, University of Indonesia, Indonesia This is one paper of The International Journal of Management Science and Information Technology (IJMSIT) Special Issue: 14th Indonesian Scholars International Convention The International Journal of Management Science and Information Technology (IJMSIT) Special Issue: 14th Indonesian Scholars International Convention (49 - 54)
CONTROLLING WINDU SHRIMP QUALITY USING APRIORI ALGORITHM THROUGH SMARTPHONE-BASED APPLICATION
Firdaus K. Gani, Rahmad Hidayatullah S, Rahmat Faisal Wahyudi & Satria Nur Hidayatullah School of Electric Engineering & School of Computing Telkom University Bandung Jl. Telekomunikasi no. 1, Bandung, INDONESIA [email protected] [email protected] [email protected] [email protected]
ABSTRACT
Shrimps are Indonesian most valuable export commodity and one of them is Windu (Penaeus monodon). Windu is Indonesian native and is the most well-known species among the shrimp farmers in Indonesia especially in Aceh and East Java. This species is vulnerable to several viral diseases that can affect to the productivity decrease particularly for small farmers. Lack of knowledge about windu epidemic diseases and its handling ways in traditional farmers are keys of this species’ productivity decrease. Using apriori algorithm trough application in smartphone which is the amount of users in Indonesia increases every year is expected to be an effective way to solve these problems. Apriori algorithm is better in finding associative rules pattern than any other methods, and is the most efficient in memory usage. In this research, this apriori algorithm is used for defining the disease indication using the data from infected windu’s physical characteristics and behaviours.
Keywords: apriori algorithm, smartphone-based application, windu shrimp.
1 INTRODUCTION
1.1 Analysis of shrimp commodity profile and potency in Indonesia Indonesia is one of the main shrimp exporters to United States, Japan, and Europe. According to Central Bureau of Statistics (BPS), shrimp export value at the period of January-March 2014 was US$ 476.59 or increased 69.93%. More specific for the windu shrimp, Directorate General for Fisheries and Aquaculture (DJPB) explained the amount of shrimp total production was 415,000 tons back in 2012. Windu is Indonesian native shrimp commodity which covers South Sulawesi, Central Java, East Java, Aceh, and North Borneo for the main farming areas. This Indonesia native shrimp now gets more attention from the government in blue-economy-based fishery industrialization.
1.2 Analysis of the problems in common (from several factors e.g. weather, water condition, and disease) However, the production of windu shrimp is facing big challenges. Weather, water deepness, and quality of pond water are the reasons in decreasing of windu production. Long dry season caused the water debit decrease that caused thousands of windu shrimps in the pond died just in the age of 3
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moths. Besides, research result from laboratory showed that the pond water used by farmers had been contaminated by metal from sea.
1.3 Analysis of more specific about the diseases and the impact to small farmers Viral disease is also the primary factor of the production decreasing. At least at the period of 1980- now, several disease viruses are found. White Spot Disease (WSD), Monodon Slow Growth Syndrome (MSGS), and Early Mortality Syndrome (EMS) are the most dangerous and ’famous’. These viral diseases are the main factors to make farmers’ productivity slumped. If the condition still goes, it does not affect to the productivity decrease only, but will also make the shrimp industry collapse as once happened in the 90s.
1.4 Analysis of the reason why the information problem is the main factor Lack of easy access to information about viral diseases is the primary problem especially for the farmers in the countryside. Smartphone-based application which its user amount increases every year in Indonesia –even in the regional can be an effective solution for an easy information access approach.
1.5 Analysis of mobile technology usage in fishery in common and in shrimp problems in particular According to study result that was initiated by Yahoo and Mindshare entitled "Getting Mobile Right", that nowadays, there are about 41.3 million smartphone users around the globe and will be increasing to 103.7 million in 2017. There are a couple of reasons why smartphone is taking role in fishery development. First, smartphone operation system enables to run much kind of applications that any common phones do not. Second, the smartphone is handed with software which allows the users to run more specific programs (Economist, 2008). In this study, a smartphone-based application are invented to help shrimp farmers –especially who are in the countryside, to get easier access to the information about diseases that infect the windu shrimp.
1.6 Analysis of the apriori algorithm potency for solving the study case. Characteristic and functionality review A study done by Kennedi Tampubolon, Hoga Saragih, and Bobby Reza about “The Implementation of Apriori Algorithm Data Mining in Allocating Health Goods” shows that data mining is very useful in allocating health goods. The deciding to prepare some types of goods was taken from data mining implementation by using database from the sale of health goods that will find the tendency of some item combination pattern. In this study, the database is used to accommodate the windu’s physical appearances and behaviour that will be used to find a tendency of a disease infection to the shrimp.
1.7 Why is aprirori algorithm relevant and fit to the identified shrimp problem? Apriori algorithm is one of algorithms which finds frequent itemset using association rule technique (Erwin, 2009). It is one of some procedures in Market Basket Analysis for finding relation among items in a data set. Apriori algorithm uses attribute frequency knowledge that had been known before to precede the next information. Apriori algorithm defines some possible candidates by observing minimum support and minimum confidence. Support is viewer rates or percentage of an item combination in database. While confidence is a certainty value that is the strength of the relation among the items in an apriori. Confidence can be found after the appearance frequency pattern had been found. So that the association rule technique is the fittest for the study because it can be used to find a result of some shrimp problems data that had been identified beforehand.
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1.8 How is the modelling of the object-matched apriori algorithm and how about the technology’s development? Database that contains windu’s physical appearances and behaviours will be proceeded to find a tendency of the disease. Then, there will be suggestion about how to handle and prevent it so it will not be happened again in the future. The main development of the technology is the data proceeding speed. When the volume of the database is quite big, the data scanning process in iteration will be getting slower. It forces to use the sampling method so the accuracy of the shown data decreases.
2 RESEARCH METhods
2.1 Framework The research framework was carried out in several stages. The first stage was defining the problems. After that, analyzing and designing using apriori algorithm were done in order to solve the problems. Then the third stage was data acquisition method whereby the collected data were taken for research purposes by taking data samples. The next stage was a searching of research object which the researcher would get set of combination pattern items that was necessary to reach the research objectives. The obtain result was a determination of the final result of information which was obtained from the item combination pattern. And in the last stage, smartphone was utilized as the implementation and testing purposes. The more details of the framework stages were illustrated on the flowchart below. Figure 1 : Flowchart of framework
START
PRELIMINARY STUDIES
DATA ACQUISITION
DATA PROCESSING
TESTING
IS THE TESTING NO RESULT VALID?
YES
RESULT
END
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2.2 Flowchart description Preliminary Studies The very beginning steps of this research were finding and studying the problems which will be researched. After that, defining the problem limitation, the background of the problem. Afterward, a literature review was conducted including finding out how to dig up the problem solution. And also, from the literature review theories which were related to shrimp farming type ‘windu’, the shrimp disease varieties includes how to handle those diseases were studied. Those theories came from books, journals, papers, or internet sites which next be consolidated in database.
Data Acquisition The utilized method in data acquisition was observation method. Observation was a systematic investigation and deliberately conducted by using human five senses to the on-going events and could be analysed at the time the event occurred. In this research, observations were done to the data objects with the purpose of obtaining correlations between the shrimps’ physical characteristic and behaviours to the shrimps’ condition or quality.
Data Processing In data processing stage, the first thing carried out was the existing problem identification which was often faced by the farmers, that was for describing those problems so that the solution could be achieved. The next stage was conducting the problem analysing, with the aim for the researches to know and obtain a clear overview of how the problem solved and what were used to solve the problem. At last, apriori algorithm was chosen to obtain outcome as the aim by the researchers which later on can be utilised by the farmers as knowledge to develop and control the shrimps quality away from diseases.
Testing In this testing stage, an examination using tools or application was carried out. The tools or application was connected to the database where the testing data were stored. The mechanism of the system testing was started by preparing necessary hardware and software to run the existing system. Then the available system was an application which indeed had been ready to be installed run in the smartphone.
3 result The stage in analysing data using apriori algorithm in this research was begun by selecting and filtering data to be analysed later on. In line with the determined support, several data items were selected. Those selected data were data that fulfilled minimal support in accordance with the amounts of diseases based on the data which had been collected. The observation process of research sample until information appear on the e-Shrimp were described as follows.
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3.1 User enters the e-Shrimp application interface on smartphone
Figure 2 : e-Shrimp main display
3.2 User chooses appropriate answer based on their sample observation
Figure 3 : Windu’s physical characteristics and behaviours questions
3.3 The result
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Figure 4 : The result shown by e-Shrimp
The application implementation on the smartphone is intended to ease the user in accessing e-Shrimp. This implementation was based on design which had been constructed in the design of interface stage.
4 discussion For further development, several concerns related with research development were highlighted as below. 1. Data mining using apriori algorithm has weakness because of the requirement to conduct scanning database on each iteration. So that, it will take a long time for large database. 2. This smartphone-based application, e-Shrimp, is quite simple but there is still inefficiency in collecting data. That is because the data were collected only from sampling process, not from the entire research objects. Therefore, by using e-Shrimp user should test how far the apriori algorithm can work properly in processing and finding relation pattern between the items. Nevertheless, the test should be on a small scale database. 3. Compared with similar algorithm like C4.5, this apriori is relevant and fit to find high frequency pattern in this study. Unlike the C4.5 which is better in classifying data that contain numeric and categorical attributes.
5 conclusion Based on discussion that had been carried out by using apriori algorithm and testing using the e- Shrimp application, several conclusion were drawn as follows. 1. Apriori algorithm is very efficient and capable to accelerate the process of pattern formation tendencies item set combination of physical characteristics and behaviours of windu shrimp to determine its quality the small farmers in Indonesia. 2. Apriori algorithm can be implemented by using windu shrimp database and diseases that attacked because this application can find the trend of item set combination so that it can be used as precious information in decision-making in order to prepare any precaution for the disease to not develop any further. 3. The application which is to help for decision-making is smartphone-based application called e- Shrimp. This application is capable to display information such as result, conclusion, and suggestion related to item set data which are obtained during the observation process.
REFERENCES
BKIPM. 2013. Sosialisasi Early Mortality Syndrome (EMS) pada udang Windu di SKIPM Kelas II Cirebon. Available via
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