IPTEK The Journal of Engineering
IPTEK The Journal of Engineering (E-ISSN: 2337-8557) is an academic journal on the issued related to engineering and technology. IPTEK The Journal of Engineering published first time in August 2014. From 2014-2018 (Volume 1-4) IPTEK The Journal of Engineering publish three issues (numbers) annually (April, August, and December). Since 2019 published annually in April and August. It is open to all scientist, researchers, education practitioners, and other scholars. Therefore this journal welcomes various topics in different engineering disciplines. Our target is to reach all universities, research centers and institutes in the globe. Call for Papers IPTEK The Journal of Engineering is an open-access journal, which means that visitors all over the world could read, download, cite, and distribute papers published in this journal for free. We adopt a peer-review model, which insured fast publishing and convenient submission. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology. Theses, dissertations, research papers, and reviews are all acceptable for publication. All topics should relevant to the issues faced by industries, governments, and communities. The broad-based topics may be covered by the following knowledge areas: Computer Engineering and Information Systems (Telematics, Algorithms and Programming, Network Based Computing, Smart Computing and Vision, Intelligent Information Management, Computer Architecture and Networking, Applied Modeling and Computing, Graphics Interaction and Games, Software engineering, Information Technology Infrastructure and Security, Information Systems Management, Data Engineering and Business Intelligence, Data Acquisition and Information Dissemination, Enterprise System, and Smart Cities and Cyber Security) Civil Infrastructure Engineering (Hydrotechnics and Surveying, Construction Implementation Management, Building Materials and Structures, and Transportation and Geotechnics) Mechanical Engineering (Energy Convertion, Metallurgical and Materials Engineering, Mechanical Design, and Manufacture) Electrical Engineering Automation (Cyber Physical, Automation, and Industrial Robots, Programmable Logic Controller and Control System, Antennas and Propagation, Instrumentation, Measurement and Power System Identification, Multimedia Telecommunications Network, Multimedia Communication, Electric Energy Conversion, Electric Power System Simulation, High voltage, System and Cybernetics, Microelectronics and Embedded Systems, Biocybernetics, Instrumentation and Biomedical Signal Processing, Multimedia Computing and Machine Intelligence, and Digital Signal Processing) Chemical Engineering (Applied Chemistry, Biochemical and Bioprocess, Advance Functional Materials and Analysis, Thermodynamic, Chemical Reaction, Material and Nanocomposite, Bioenergy, Wastewater Treatment, Process Integration, Fluid Mechanic, and Sustainable Industrial Systems) Instrumentation Engineering (Control Instrumentation, Measurement Instrumentation, Photonic Engineering, Vibration and Acoustics, and Embedded Systems and Physical Cyber) Business Statistics (Business Analytic, and Quality and Productivity Engineering) And physical, chemical, biological, and environmental sciences that are directly related to engineering.
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<![CDATA[Comparative Analysis of Feature Selection Method to Predict Customer Loyalty ]]>
<![CDATA[Heni Sulistiani]]>;
<![CDATA[Aris Tjahyanto]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 3, No 1 (2017) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v3i1.a2257
<![CDATA[The growth of Fast Moving Consumer Goods (FMCG) industry is still showing double-digit and Indonesia becomes a potential market for the products FMCG, so that the competition between companies will be intense. The company have to attempted to survive, one of the way is to maintain customer loyalty. Data mining techniques can be used to predict customer loyalty. In data mining pra-processing, feature selection is one of the important thing to reduces the number of features, removes irrelevant, redundant, or data noise, and brings the immediate effects for applications: speeding up a data mining algorithm, improving mining performance such as the accuracy of the prediction and the comprehensive result. This paper aims to identify the relevant factors that affect the performance of the classification of customer loyalty with several feature selection method and to compare the classification performance in customers loyalty prediction of FMCG products. Data was obtained from the results of fast moving consumer goods customers questionnaires towards several brands of instant noodles in Lampung that was ranked TOP Brand Award Phase 1 2016, using nonprobability sampling method and convenience sampling technique. The result in this paper, chi square feature selection methods with threshold > 0.01 showed the best results, it is indicated by the highest accuracy of random forest classification algorithm, that is 83.2% for thirteenth features]]>
<![CDATA[The Relationship Analysis of e-Government Implementation on Increasing Capital Investment in Region (Case Study : Banyuwangi City) ]]>
<![CDATA[Beny Prasetyo]]>;
<![CDATA[Tony Dwi Susanto]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 3, No 1 (2017) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v3i1.a2267
<![CDATA[In recent years, the investment climate in Indonesia is increasing, where the realization of capital investment projects in the first quarter of 2014 reached IDR, 106.6 trillion. The increased capital investment can not be separated from the investment attractiveness in Indonesia. Some traditional factors are labor, infrastructure, ecoonomic, social and political, while ICT factor which have influenced on shaping investment attractiveness is e-government of host country. This research will analyze the relationship between e-government implementation at local government level (city) as one of the strategies to realize good governance. With good governance will influence the investors to come for invest. To answer this research, researcher used a qualitative approach with a single case study is Banyuwangi City in East Java Province, Indonesia. Case study used to explore more details about this research topic. The results of this study are e-government implementation have impact on the improvement of good governance quality and increasing investment value]]>
<![CDATA[Developing Citizen Relationship Management (CiRM) Oriented E-Government Maturity Model ]]>
<![CDATA[Anita Wulansari]]>;
<![CDATA[Apol Pribadi Subriadi]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 3, No 1 (2017) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v3i1.a2268
<![CDATA[CiRM (Citizen Relationship Management) has an important role in the government because it puts citizen in the best interests. So far the implementation of e-government only focused on the technology assimilation process. Since existing e-government maturity assessment models only measure the ability of e-government technology, they lack in consideration towards citizen needs. Therefore an e-government maturity assessment model is developed by incorporating elements of CiRM. The model was developed through a grounded theory qualitative study approach. The object of this research is e-government application owned by the city of Surabaya. This research developed CiRM oriented e-government maturity model consisted of organization, interaction, service and citizen insight dimensions. This model then was used to assess the maturity of CiRM oriented e-government implementation of Surabaya Single Window (SSW) online service]]>
<![CDATA[Performance of Seawater Activated Battery as Alternative Energy Resources ]]>
<![CDATA[Masrufaiyah Masrufaiyah]]>;
<![CDATA[Ridho Hantoro]]>;
<![CDATA[Gunawan Nugroho]]>;
<![CDATA[Totok R Biyanto]]>;
<![CDATA[Nur Laila Hamidah]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 3, No 1 (2017) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v3i1.a2266
<![CDATA[Research on Freshwater and Seawater batteries, which using Al and Cu electrodes at variation of different electrolyte salinity, distance between electrodes and flowrate of electrolyte has been carried out. The galvanostatic discharge and Electrochemical Impedance Spectroscopy (EIS) of Al and Cu in seawater were investigated. The results showed the optimum condition with significant average potential discharge of 45,02 mV and current of 0,440 mA obtained from combination of 5% electrolyte salinity, 2 cm space between electrodes and 0,5 liter/hour electrolyte rate. EIS studies revealed that the Al and Cu interficial electrochemical process in seawater was determined by an activation controlled reaction]]>
<![CDATA[The Effectiveness Test of Ultrasonic Extraction Microwave Distillation (USE-MD) Method in Capsaicin Extraction ]]>
<![CDATA[Ach. Ferdiansyah Pradana P]]>;
<![CDATA[Moch. Dimas Khoirul U]]>;
<![CDATA[Angga Septian E]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 3, No 1 (2017) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v3i1.a2265
<![CDATA[Chili (Capsicum frutescens) is one of foodstuffs whose price is fluctuate and still not processed well, so it becomes damaged. Processing chili becomes capsaicin extract can be done by using MAE method that requires high power and UAE method that produces low yield. Therefore, this study aimed to process chilies as capsaicin extract by using USE-MD and ME-MD methods. Chilies were extracted using 500 ml ethanol 96% in 10, 20, 30, 40 and 50 minutes. The operating condition of the distillation was 78oC with a pressure of 1 atm. The result showed that the best method to get capcaisin extract was USE-MD method with optimum extraction time about 30 minutes. This method gave yield about 2.795% with concentration of capsaicin about 0.94 + 0.02% lb/lb]]>
