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[Study of Shipboard Power Distribution System: Review on an Aplication of AC Zonal Distribution ]]>
<![CDATA[Danang Cahyagi]]>;
<![CDATA[Eddy S. Koenhardono]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 4, No 1 (2018) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v4i1.a3734
<![CDATA[The shipboard power distribution system has been developed in order to make it more efficient. AC zonal distribution system is one of the options in order to achieve the objection. This study aims to observe the shipboard application with AC zonal distribution system. The distribution system is modeled, simulated, analyzed, and compared with conventional system. Based on simulation, the AC zonal distribution system provide higher reliability, better power continuity, and more stable power generation. Therefore, development of the zonal distribution system continues to bring succeed in every mission. However, the system has several challenges for future work such as more complex transmission system, higher voltage drops, and the tendency to have instability power distribution when one generator fails.]]>
<![CDATA[Explainable Artificial Intelligence (XAI) towards Model Personality in NLP task ]]>
<![CDATA[Dimas adi]]>;
<![CDATA[Nadhila Nurdin]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 7, No 1 (2021) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v7i1.a8989
<![CDATA[In recent years, the development of Deep Learning in the field of Natural Language Processing, especially in sentiment analysis, has achieved significant progress and success. It is because of the availability of large amounts of text data and the ability of deep learning techniques to produce sophisticated predictive results from various data features. However, the sophisticated predictions that are not accompanied by sufficient information on what is happening in the model will be a major setback. Therefore, the significant development of the Deep Learning model must be accompanied by the development of the XAI method, which helps provide information about what drives the model to get predictable results. Simple Bidirectional LSTM and complex Bi-GRU-LSTM-CNN model for Sentiment Analysis were proposed in the present research. Both models were analyzed further using three different XAI methods (LIME, SHAP, and Anchor) in which they were used and compared to two proposed models, proving that XAI is not limited to giving information about what happens in the model but can also help us to understand and distinguish models’ personality and behaviour.]]>
<![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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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[Monitoring and Analysis of Single Tube Temperature Distribution in Heat Exchanger Simulator Using TPA 81 Thermopile Array ]]>
<![CDATA[Murry Raditya]]>;
<![CDATA[Gunawan Nugroho]]>;
<![CDATA[Abdurrahman Rahyang Tutuko]]>;
<![CDATA[Halen Dinata Atmaja]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 6, No 1 (2020) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v6i2.a7246
<![CDATA[The Energy and Environmental Engineering Laboratory had a heat exchanger simulator which was used to determine the temperature changes with respect to time due to air velocity. This simulator used tubes which were used to find out the temperature change with time. The working principle of this simulator was to monitor changes in temperature on the tube that had been preheated and then cooled using a fan contained in the simulator. This study performed temperature measurements using a TPA81 thermal array sensor. We chose this sensor because it could measure the temperature without touching the object and had 8 pixels for image measurement. This was because the process of reducing the temperature of the tube becomes purely caused by the fan and not from the outside environment. The results obtained from this study were visualization of temperature distribution using the Thermal Array TPA81 sensor, having a linearity value of 0.034%, a precision value of the instrument of 98.1%, an accuracy value of 0.285%, and error value of 0.154 (W/m2K). For the analysis of temperature distribution, it was concluded that the value of the temperature did not affect the value h, because the value of h (the coefficient of heat transfer convection) is distributed with time.]]>
<![CDATA[Sensor Coordination for Behavior of Search Robot Using Simultaneous Localization and Mapping (SLAM) ]]>
<![CDATA[Indra Adji Sulistijono]]>;
<![CDATA[Endah Suryawati N]]>;
<![CDATA[Eko Henfri B]]>;
<![CDATA[Ali Husein A]]>;
<![CDATA[Ananda Verdi S]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 2, No 1 (2015) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v2i1.a473
<![CDATA[We developed a robot for searching victims for survivors of natural disasters. Almost all robots need to navigate a state in the environment to help people around them, therefore the robot should have performance a mapping system. Thus improve the performance of robots in knowing the obstacles, the position and the direction toward the robot with the task of each sensor is to detect obstacles or objects that exist in the use of ultrasonic sensors to avoid bumping into obstacles, to detect the position and determine the distance of the robot using a rotary sensor encoder and to determine the direction toward, direction and elevation angle of the robot using IMU sensor. Whole of the sensor is set by the microcontroller STM32F407VGT6 that sent data from each sensor to a PC using XBee Pro. Therefore, robot create a mapping with OpenGL on the PC. Mapping system plays an important role for fast and accurate to the destination. We conclude, in the robot SLAM method depends on the precision of the data in the sensor US2 (Right), US4 (Left) and the rotary encoder. The test results of the output data at the right ultrasonic sensor produces error US2 16.9%, 14.6% US4 left ultrasonic and rotary encoder sensor error to 19.45%.]]>
<![CDATA[Relocation Of Earthquake Hypocenter In The Flores Region Using Hypo71 ]]>
<![CDATA[Regolinda Maneno]]>;
<![CDATA[Bagus Jaya Sentosa]]>;
<![CDATA[Gazali Rachman]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 5, No 2 (2019) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v5i2.a5024
<![CDATA[Flores is one of the seismically high activity zones of Indonesia region as a consequence of Indo-Australian plate subduction under the Eurasian plate. Tectonic earthquakes required to be studied because in large magnitude it can bring disaster. Therefore the precise of hypocenter determination needs to be done. In this study, hypocenter relocation is done by Single Event Determination method using hypo71. The data used are earthquake event data in Flores area which has magnitude > 4 SR at period between January 2010 and March 2018 obtained from BMKG catalog. Hypo71 requires data of arrival time of P and S waves at the recorder station. The arrival time of P and S waves data at each station is obtained by picking P and S waves using SeisGram2k70. The results showed that the source of the earthquake experienced a change of position both horizontally and vertically. In the vertical direction of hypocenter earthquake changes in the distance between 0.02 - 89.61 km, while in the horizontal direction the hypocenter of the earthquake changes in the distance of 1.11 - 71.11 km. After relocation, the hypocenter of the earthquake distributed along the Back Arc Trust in the northern island of Flores. Hypocenter relocation using hypo71 yields a small residual between the observation time and calculation time denoted by RMS <1.]]>
<![CDATA[The Effect of Feedwater Heaters Operation Schemes to a 200 MW Steam Power Plant Heat Rate Using Cycle-Tempo Software ]]>
<![CDATA[Adi Apriyanto Wijaya]]>;
<![CDATA[Budi Utomo Kukuh Widodo]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 4, No 3 (2018) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v4i3.a4995
<![CDATA[There are several ways to improve performance of Rankine cycle which is implemented at steam power plant, regenerative feedwater heating is one of the methods. Some failures in closed feedwater heaters such as, water leak through manhole and tube leakage may happen during operation of the plant. Repairing such failures may take some period of time and must shut off the operation of the feedwater heaters. Further study is needed to evaluate the effect of closed feedwater heater in off-service condition against the steam power plant’s performance. This study varies off-service condition of closed feedwater heaters applying thermodynamics analysis and modeled through Cycle-Tempo software. There are 12 possible feedwater heater operation schemes. Based on the heat balance and equipment design of a 200 MW Steam Power Plant at Jakarta-Indonesia, this study concluded that the NPHR might increase as much as 0.96% and 0.39% due to the off-service of any HPH and the off-service of any LPH respectively. Schemes of 2 off-service feedwater heaters summed up with 1.37% increase of NPHR.]]>
<![CDATA[Variability of Sea Surface Temperature in Indonesia Based on Aqua Modis Satellite Data ]]>
<![CDATA[Nurul Fatimah Yunita]]>;
<![CDATA[Muhammad Zikra]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 3, No 3 (2017) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v3i3.a3083
<![CDATA[Sea surface temperature (SST) is one of the oceanographic factor in seawater. Its value depends on several factors. In indonesia, SST value depend on season and location. The aims of this study are to analyze the spatial and temporal variability of SST using 10-years (2007-2016) Aqua Modis satellite data. The result shows that the average of SST in Indonesia ranges from 27 – 31 °C depending on location. SST in equator area range from 30 – 31 °C and in nonequator area range from 27 – 30 °C. Monthly and seasonal variation of SST also show different value for each area in the indonesian region.]]>
<![CDATA[Satisfaction and Loyalty of Banking Customers in Indonesia ]]>
<![CDATA[Nur Azizah]]>;
<![CDATA[Harry Puspito]]>
<![CDATA[ IPTEK The Journal of Engineering Vol 6, No 2 (2020) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12962/j23378557.v6i3.a7654
<![CDATA[Improved customer satisfaction and loyalty are essential metrics in increasing a company's revenue and profit in the banking industry. This research aims to determine the effect of satisfaction on loyalty among bank customers in Indonesia. The study was conducted by face to face interview method (F2F) among 1910 bank customers in eight metropolis in Indonesia (2019). The sampling method used a random sampling followed by a booster sampling approach. The analysis was conducted using the Structural Equation Modeling (SEM) by WarpPLS approach. The results show that satisfaction positively and very significantly affects loyalty.]]>
<![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 ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
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]]>
