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
311 Documents
<![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 Agasta1]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 1 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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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[Explainable Artificial Intelligence (XAI) towards Model Personality in NLP task ]]>
<![CDATA[Nadhila Nurdin]]>;
<![CDATA[Dimas Adi]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 1 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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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[Analysis of Transaction Capability in Gate In-2 Automation Export at PT Terminal Petikemas Surabaya uses Control Chart ]]>
<![CDATA[Chairunissa Kusnoaji]]>;
<![CDATA[Iis Dewi Ratih]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 1 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v7i1.a7493
<![CDATA[PT Terminal Petikemas Surabaya is an international standard container terminal that always makes innovations to improve the quality of container export and import services. OCR is a container data identification tool that has begun to be used at the gate in the automation of exports of PT Terminal Petikemas Surabaya. The existence of OCR at the gate in export automation creates a new time motion for transactions that need to be known about the processing capabilities. Using the control chart and Ishikawa diagram, it is found that the time motion transactions that occur at the gate in automation exports of PT Terminal Petikemas Surabaya are statistically out of control and incapable of being caused by many factors, both internal and external.]]>
<![CDATA[Analysis of Import Gate Out Service Using Control Chart in PT Terminal Petikemas Surabaya ]]>
<![CDATA[Rafly Septianarta Putra]]>;
<![CDATA[Iis Dewi Ratih]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 1 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v7i1.a7460
<![CDATA[Goods from abroad entering Indonesia must go through several stages of inspection. One of the final inspection stages of imported goods is through the import gate out of PT Terminal Petikemas Surabaya (PT TPS). Import Gate Out is the entry and exit access for each truck that will carry out activities in the area of PT TPS. The gate itself functions as a place to identify containers that will enter whether they are in accordance with the data and as a place of confirmation for the commanderer who will leave the port whether it has been completed and is in accordance with the existing procedures. In the import gate out process, there are operators in charge to ensure that the incoming or outgoing containers are in accordance with the existing system at PT TPS. In carrying out its duties, gate operators are expected to have the skills and speed to serve every container that will enter or leave PT TPS. To determine the extent of the performance duration of the gate operator PT TPS a research was conducted on the service time of the import gate out operator using descriptive analysis and control charts. This research was conducted using data collection techniques by observation. The results of this study indicate that the average transaction per day is 33.5 seconds.]]>
<![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[Institut Teknologi Sepuluh Nopember ]]>
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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[Design of Bacterial Foraging Interval Fuzzy Logic Controller on Hybrid Solar Tracker-Ocean Wave Energy Converter ]]>
<![CDATA[Dwi Nur Fitriyanah]]>;
<![CDATA[Imam Abadi]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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<![CDATA[The location of Indonesia which, is crossed by the equator, makes it rich in sunlight. Photovoltaic (PV) can convert solar energy into electrical energy. The Solar Tracker system can maximize the absorption of solar energy that enters the PV. The condition of the Indonesian archipelago also has the potential for ocean wave energy. The Hydrostatic transmission-based Wave Energy Converter system can convert ocean wave energy into electrical energy. This research combines two energies, namely solar energy and ocean waves. The importance of combining these two renewable energies is due to the non-continuous nature of solar energy, therefore combined with the ocean wave energy to maximize the energy produced. A type-2 fuzzy logic control system based on Bacterial Foraging Optimization (BFO) is applied to each converter, summing each converter that has been optimizing. Optimize error and delta error on the solar tracker system and fuzzy logic waveform-based sea-wave type-2 system. The fuzzy boundaries are then optimized using the BFO optimization method. Fuzzy type-2 based on BFO in solar tracking system can increase energy by 67.9% with the best performance at FOU ±0.1. BFO-based type-2 fuzzy control can stabilize the output of the ocean wave conversion system and produce average energy of 34.48 Wh. This research can increase the energy in the system after being optimized using BFO by 19.3%.]]>
<![CDATA[Estimation of the Catastrophic Risk using Mixture Models ]]>
<![CDATA[Zakiatul Wildani]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v7i2.a9869
<![CDATA[Indonesia is one of the countries in the world that is susceptible to various types of natural disasters such as earthquakes, floods, etc. These events do not occur very often, however, they cause massive financial loss. This risk of loss is termed as a catastrophic risk where it not only affects the individual but also the government and at the same time posing a threat to insurance companies if they do not have sufficient resources to make a payment of claims. However, due to the complexity and uncertainty of natural hazards, measuring this risk is quite challenging. This paper proposes an estimation method of the catastrophic risk based on Value-at-Risk (VaR) of total loss from natural disasters in Indonesia. A key issue for estimating VaR is to fit an appropriate distribution. Extreme value distribution, such as Generalized Pareto Distribution (GPD) has been used to assess the tail behavior of extreme loss. However, this distribution does not give any information about the central behavior that may affect the estimation of the model parameter in GPD. Therefore, this paper utilized mixture models that combine the parametric form of loss distributions such as gamma, Weibull, and lognormal distribution with GPD. The result shows that VaR estimations are quite different under different mixture models and confidence levels. In addition, the lognormal-GPD model is selected as the best model that fits data best with the highest value of Log-likelihood]]>
<![CDATA[Biogas Production from Water Spinach and Banana Peel Waste Using Plug Flow Reactor ]]>
<![CDATA[Soeprijanto]]>;
<![CDATA[Alif Adi Kaisar]]>;
<![CDATA[Dyah Firdha Amalia]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v7i2.a9928
<![CDATA[Biofuel is one of the promising energy in the future that can play an essential role in maintaining energy security in Indonesia Biogas, which is only one of many types of biofuels is considered a renewable energy source that does not contribute to the impact of greenhouse gases. The main composition of the gas consists mainly of methane (CH4), and carbon dioxide (CO2) and resembles commonly used fossil fuels such as natural gas. This study aimed to determine the method of making biogas using water spinach and banana peel waste. The process of making biogas begins with preparing the materials to be fed to the bioreactor daily. The prepared material is put into the bioreactor continuously every 24 hours. The results obtained are the C/N content of water spinach 10 while the banana peel is 42. The C/N ratio affects biogas production. The maximum production of biogas accumulation is in water spinach as raw material. On water spinach, the yield was 287.825 l/kg substrate and the average volume per day was 17.989 l/kg substrate. The banana peel yields 46,184 l/kg of the substrate and the average volume per day is 2,887 l/kg of the substrate. Based on the flame test conducted at the beginning of the week the gas produced can be burned, this occurs in all raw materials.]]>
<![CDATA[Agent-Based Simulation for Evaluating the Effect of Different Walking and Driving Speed on Disaster Evacuation in Aceh ]]>
<![CDATA[Sinung Widiyanto]]>;
<![CDATA[Dimas Adi]]>;
<![CDATA[Nadhila Nurdin]]>;
<![CDATA[Fadila]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v7i2.a9255
<![CDATA[Agent-Based Modeling and Simulation (ABMS) was implemented to build and develop an evacuation simulation model. In this research, ABMS is simulated in several evacuation scenarios with an output: the evacuation rate of two different decision choice evacuation modes (walking or driving to the evacuation points). The result of this tsunami evacuation simulation shows that the decision choices on the evacuation mode are highly correlated to the evacuation rate. Observed in the simulation that there is a typical choice that leads to the higher evacuation rate, the choice is by maximizing the pedestrian agents on the population distribution.]]>
<![CDATA[The Application of Electrocoagulation to Treat Meatball Wastewater with Aluminium Electrode ]]>
<![CDATA[Soeprijanto]]>;
<![CDATA[Findi Kusuma Wardani]]>;
<![CDATA[M. Yosi Kurniawan]]>
<![CDATA[ IPTEK The Journal of Engineering Vol. 7 No. 2 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23378557.v7i2.a10026
<![CDATA[The meatball factory in the Keputih, Surabaya produce meatball liquid waste with a COD value of 11,072 mg/L so it requires special treatment before being discharged into the environment. This research was conducted to treat that meatball liquid waste by electrocoagulation method using aluminum electrodes. The variables were arranged using completely randomized design at pH variations of 5.5 and 9, residence time of 15, 30, 45 and 60 minutes, number of plates of 4 and 8, and current density of 312.5; 375; 156.25; 187.5 A/m2 in batches then will be analyzed for COD, TDS and Turbidity. This research has obtained results that optimal time for electrocoagulation varies from 15-45 minutes then current density of 187.5 and 375 A/m2 are slightly better than 156,25 and 312,5 A/m2 then pH 8 had better treatment results than pH 5.5 especially in turbidity then the use of 8 aluminum plates at the same electric current had far more better results than 4 plates. So that the best efficiency in this wastewater treatment is obtained by removal of COD value up to 94.78%, Turbidity up to 98.68% and TDS up to 76.63% at a current density of 187.5 A/m2 and pH 8 for 30 minutes.]]>
