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.
Articles
96 Documents
<![CDATA[Searching the Correct and Appropriate Deterrence Function General Formula for Calculating Gravity Trip Distribution Model ]]>
<![CDATA[Hitapriya Suprayitno]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 4, No 3 (2018) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v4i3.a3762
<![CDATA[Trip Distribution Model is a very important part of Transport Modeling. This is a result of a mathematical operation among Trip Generation, Generalized Cost Matrix, and Deterrence Function. Thus, it can be understood easily that having a correct and appropriate Deterrence Function Formula is important. Here, correct means that the curve form is in concordance with typical Trip Length Distribution pattern. While, appropriate means that the function is easy to be manipulated in getting a good conformity with the Trip Length Distribution. Three Deterrence Function types, i.e. negative power, negative exponential, and Tanner, were investigated. The investigation was done upon Negative Power Function, Negative Exponential Function and 4 combinations of Tanner Function. The research result indicates that the Negative Power and the Negative Exponential are correct. While, among the four Tanner Function combinations, the correct ones are only the Tanner Function – Negative Power Negative Exponential and the Tanner Function – Positive Power Negative Exponential. The correct and appropriate Deterrence Functions are the above four Basic Functions multiply by a Constant.]]>
<![CDATA[Study of Zwitterionic Homopolymer Polysulfobetaine and Gel Properties in Various Solutions of Different Anion Species and Cation Valences ]]>
<![CDATA[Afan Hamzah]]>;
<![CDATA[Daril Ridho Zuchrillah]]>;
<![CDATA[Eva Oktavia Ningrum]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 7, No 1 (2021) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v7i1.a9168
<![CDATA[Zwitterionic homopolymer polysulfobetaine (PBET) gels were synthesized using free radical polymerization. The effect of temperatures on adsorption behavior of the gel and transition temperature of the polymer in various solutions of LiCl, KCl, NaCl, Al(NO3)3, Zn(NO3)2, and NaNO3 were studied. The tendency of poly(BET)s transition temperature in Cl solutions very identical. All of poly(BET) solution resulted in Upper Critical Temperature (UCST). Its number increased along with the elevation of salt concentration. The number declined again when the concentration was too high. BET gel successfully adsorbed various ions with the amount of adsorption tendency of LiCl < NaCl < KCl.]]>
<![CDATA[NPV at Risk Review on Investment Evaluation of Hotel Development in Block M Jakarta ]]>
<![CDATA[Aroka Aryadeta]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 3, No 2 (2017) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v3i2.a2789
<![CDATA[Hotel Grandhika Blok M Jakarta built in 2013 and started operation in early 2016. In terms of investment, the function of the building is not necessarily the best. Therefore it is necessary to do further study on the evaluation of hotel development, whether it remains operational as a hotel or there is a better investment alternative on the land of Grandhika Hotel Block M. The results of spreading questionnaires to five property experts consisting of academic and practitioners experts, are obtained the probability for hotel 100% optimists and 0% pesimists, Apartement 60% optimists and 40% pesimists, Offices 40% optimists and 60% pesimists. Then do the calculation Net Present Value (NPV). From NPV analysis obtained value NPV after 8 years for hotel NPV Rp. 7,788,146,628.49 , apartments NPVRp. 17,992,955,784.81 and officeNPV Rp. 6,852,663,146.56. For a maximum productivity analysis of the value of the property at the end of the investment period, so the utilization of land for the hotel will provide productivity of76.90%, for apartements provide productivity of 41.62% and office provide value of productivity of 18.16%. After obtained probability, productivity analysis and Net Present Value then taken decision by using decision tree method. The result is that the hotel as the best investment. From these results the best investment the investor can decide whether to continue operating the hotel or change functions the best alternative of the existing alternatives.]]>
<![CDATA[Analysis of Container Problems in Exception Area at PT. Terminal Petikemas Surabaya uses the Lean Six Sigma Method ]]>
<![CDATA[Vivi Mentari Dewi]]>;
<![CDATA[Iis Dewi Ratih]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 6, No 2 (2020) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v6i3.a7445
<![CDATA[PT Terminal Petikemas Surabaya is a company engaged in logistics, container services. Since the end of December 2019, PT Terminal Petikemas Surabaya began implementing a gate automation system at gate in exports. One thing that is done to support the gate automation is the Exception Area which is used as a data repair place for trucks that experience problems during the gate-in export process before heading to the stacking field. Containers that are constrained during the gate-in process indicate that there are procedural errors carried out by internal companies and external parties, such as drivers, forwarders, and importers related to administrative and technical problems. This research focuses on controlling the quality of container problems that enter the exception area by using a statistical method in the form of lean six sigma. The purpose of this study is to determine the average length of time to resolve containers for each problem, to know the quality of and the sigma level of the average length of time to resolve containers that enter the Exception Area based on the average number of container problems entering the Exception Area according to five problem criteria, knowing the problems that cause themost of the containers that enter the Exception Area. The results of the analysis in this study are the average length of time for containers that enter the Exception Area for each problem as a whole, the highest is caused by the system and the lowest is due to the closing time. The average number of container problems that enter the Exception Area in accordance with the five criteria, the problem has been controlled statistically with the most problem causes caused by the system, and the sigma level value is obtained from the average number of container problems that enter the Exception Area according to the five problem criteria which is 3,395, which means the variation or diversity of container problems that enter the exception area based on the problems of the containers that enter the Exception Area according to the five criteria, the problem is quite large.]]>
<![CDATA[Modeling Response of Concrete Material due to Biaxial Loading using Finite Element Method Software Based ]]>
<![CDATA[Data Iranata]]>;
<![CDATA[Endah Wahyuni]]>;
<![CDATA[Aniendhita Rizki Amalia]]>;
<![CDATA[Sylvya Anggraini]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 2, No 1 (2015) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v2i1.a465
<![CDATA[Generally the concrete behavior can be observed by the experimental analysis. However, since the computer technology development has been increased rapidly, the computer simulations are also able to represent the detail behavior of concrete. This paper presents the modeling response of concrete material subjected to biaxial loading using finite element method software based. The plain concrete plates with dimensions 200mm x 200mm x 50mm and 150mm x 150mm x 50mm are analyzed using various combinations of biaxial loading. The results of the biaxial load combinations are covering the three non-linear regions of compression–compression, compression–tension, and tension–tension. The results of finite element analysis are also show good agreement to the experimental results that been taken from the previous study. The comparison results the difference between analytical and experimental study are less than 5%. Therefore, the concrete material model based on this finite element method software can be used to simulate the responses in the real condition]]>
<![CDATA[Isobaric Vapor-Liquid Equilibria for Binary System of Ethanol (1) + Eugenol (2) at 400 and 760 mmHg ]]>
<![CDATA[Irwan Hidayatullah]]>;
<![CDATA[Annas Wiguno]]>;
<![CDATA[Kuswandi Kuswandi]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 5, No 2 (2019) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v5i2.a5237
<![CDATA[Eugenol is the main component of clove oil, while the main impuritis of it is β-caryophyllene. Eugenol with a purity higher than 98% has a higher price than low purity eugenol. Thus, further eugenol purification process is needed. Common purification processes are extraction and distillation. In the design and simulation of the distillation process it requires a knowledge of Vapor-Liquid Equilibrium (VLE) data from a mixture of components to be separated (eugenol and ethanol) as the result of extraction process. In this work, the experimental VLE data were measured for binary mixtures of ethanol(1) + eugenol(2) at 400 and 760 mmHg. The apparatus used for this experiment is an othmer still equipped with a vacuum pump and a manometer. The experiments were performed to obtain equilibrium data (T), component concentrations in liquid phase (x), and in vapor phase (y). The binary VLE data were correlated with the Wilson, NRTL and UNIQUAC models to obtain the binary parameters. The reliability of these models were tested by comparing with experimental results using Root Mean Square Deviation (RMSD). For the system and the operation condition studied, the Wilson, NRTL and UNIQUAC models suited well and give satisfactory results based on the RMSD values.]]>
<![CDATA[The Influence of Multi-frequency Current Injection in Image Reconstruction for Two-Dimensional High-Speed Electrical Impedance Tomography (EIT) ]]>
<![CDATA[Aris Widodo]]>;
<![CDATA[Agus Rubiyanto]]>;
<![CDATA[Endarko Endarko]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 5, No 1 (2019) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v5i1.a5019
<![CDATA[The image reconstruction for two-dimensional high-speed Electrical Impedance Tomography (EIT) has been successfully studied with multi-frequency current injection. The aim of this study is to get the best image reconstruction under the influence of multi-frequency current injection of this EIT system. In this method, we used current injection at 1 mA with varies of frequency in the range 10 to 50 kHz injected at the practical phantoms with 16 electrodes. Polyvinyl chloride (PVC) cylinder was put in the practical phantom as the anomaly. Then, The boundary voltage of the practical phantom was measured by the voltage measurement circuit. After that, it processed in the computer with Gauss-Newton Algorithm to got image reconstruction. The result showed that the best image reconstruction was achieved at 10 kHz of frequency current injection. The best image reconstruction had more accuracy of shape, position and electrical properties of an anomaly in boundary phantom than another image reconstruction result.]]>
<![CDATA[In the face of gentrification : a case study of social capital in supporting community efforts to form a collective action ]]>
<![CDATA[Azka Nur Medha]]>;
<![CDATA[Putu Gde Ariastita]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 3, No 3 (2017) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v3i3.a3208
<![CDATA[Gentrification is believed to be an urban phenomenon that has a negative impact on neighborhood society. Therefore, the neighborhood community becomes an important study object in order to understand the process of gentrification itself. This study observes the community in Medokan Semampir community group, Surabaya, that raised a case study in which they made collective action to face gentrification. Collective action can be viewed as a solution in order to facilitate the common interests of a gentrified community. The aim of this paper is to explain the collective action process in the context of social capital, and how communities can keep the capital as collective assets to prevent gentrification processes anguish its members.]]>
<![CDATA[The Characteristic of Variable Frequency Drive for Water Flow Control in the SFC Plant ]]>
<![CDATA[Sefi Novendra Patrialova]]>;
<![CDATA[Destiarga Husein Wardhana]]>;
<![CDATA[Lucky Putri Rahayu]]>;
<![CDATA[Tedy Agasta]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 7, No 1 (2021) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.12962/j23378557.v7i1.a8415
<![CDATA[One of several techniques to control fluid flow-rate through a pump is using variable frequency drive. This paper presents how experiment be able to perceive the characteristic of variable frequency drive (VFD) to control water flow-rate in the Simulator Flow Control (SFC) plant. The SFC plant is developed for a fluid course learning simulator. The user would be able to set the desired value of frequency or flow-rate through a convenient interface. To provide it, the characteristic of VFD-frequency-to-flow-rate must be firstly observed, as reported in this paper. The fluid flow-rate control is designed without an electric valve, but using VFD to drive the 250 Watt water pump. In this first development, the SFC Plant successfully work with various water flow-rate from 2 Liter per minute until 20 Liter per minute by changing the frequency input of VFD. The water flow-rate was measured by manual rotameter, the flow sensor has not been applied yet in this first development. In this experiment, the VFD’s frequency was set from 10 Hz to 36 Hz with 2 Hz intervals. Result showed that VFD frequency is proportional to water flow-rate. The higher frequency given to VFD, the faster rotational motor of water pump generated and then given rise to water flow-rate. Using linear graphic approach, the characteristic is shown through the linearity coefficient of 0,68 and constant value of 3.43. This characteristic value would be useful for open-loop-control and user interface programming in next step of development.]]>
<![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]]>
