Journal FORTEI-JEERI
Power System; Electric Power Generation, Transmission and Distribution, Power Electronics, Power system analysis, Protection system, Power Quality, Electrical machine and drives, Power Economic, Renewable Energy, Condition Monitoring and Diagnostics, and Energy Systems. Automation and Control; Instrumentation system, transmitter, industrial process control, PLC, SCADA, DSC, IoT in Industrial Automation, Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligent and Expert System, Fuzzy Logic and Neural Network, Complex Adaptive Systems. Electronic and Microelectronics; Electromagnetic compatibility, devices and systems, microelectronics, micro- and nanofabrication of electronic devices, circuits and systems for electronics, electro mechanics and robotic, bioelectronics. Computer Engineering; Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, VLSI Design-Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security. Informatic and Software Engineering; Information Search Engine, Multimedia Security, Computer Vision, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Next Network Generation, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems. Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data). Telecommunication Engineering; Antenna and Wave Propagation, Modulation and Signal Processing for Telecommunication, Wireless and Mobile Communications, Information Theory and Coding, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services, Security Network, and Radio Communication. Signal Processing; Digitization (sampling in time and quantizing in amplitude), Band-pass and base-band filtering, Beamforming (spatial filtering), Matched filtering and/or incoherent integration, Detection, classification, localization, and tracking. Biomedical Engineering; Biomedical Physics, Biomedical Transducers and instrumentation, Biomedical System Design and Projects, Medical Imaging Equipment and Techniques, Telemedicine System, Biomedical Imaging and Image Processing, Biomedical Informatics and Telemedicine, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems.
Articles
12 Documents
<![CDATA[A Determination of PV and Wind Power Plant Penetration into a Power System: a Case of Java Bali ]]>
<![CDATA[Musthafa Abdur Rosyied]]>;
<![CDATA[Sarjiya Sarjiya]]>;
<![CDATA[Lesnanto Multa Putranto]]>;
<![CDATA[Izzuddin Fathin Azhar]]>;
<![CDATA[Eko Yudo Pramono]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 1 No. 1 (2020): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v1i1.5
<![CDATA[PT. PLN (Persero) has planned to develop a new renewable energy which has a minimum energy mix of 23% in 2025 and 31% in 2030. An intermittent renewable energy plant, which is uncontrollable and unpredictable, will begin to be massively used. Associated to the intermittent nature of the of intermittent renewable energy source (IRES), adequate system flexibility is necessary. This study determined the penetration level IRES generating unit using the systems load and existing generating unit ramping rate characteristic, IRES generating unit’s ramping rate and system’s technical minimum load (TML) on the Java Bali System based on the 2017 operation condition. The results showed that the TML value of the operating plant was 12164,69 MW. The ramping up and down capabilities of conventional power plants are 945.04 MW / 30 min and 4006.08 MW / 30 min where ± 5% of penetration of IRES was still applicable for the Java Bali System.]]>
<![CDATA[A Improving Feature Selection on Heart Disease Dataset With Boruta Approach ]]>
<![CDATA[Muhammad Arzanul Manhar]]>;
<![CDATA[Indah Soesanti]]>;
<![CDATA[Noor Akhmad Setiawan]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 1 No. 1 (2020): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v1i1.6
<![CDATA[Coronary artery disease (CAD) is one of the deadliest diseases in the entire world, including in Indonesia. CAD occurs due to narrowing or blockage of coronary arteries which is usually caused by atherosclerosis. Various studies have been conducted with the aim to predict the nature and characteristics of this disease. Some researches uses the Z-Alizadeh Sani dataset which consists of 54 attributes with two results of classification, CAD and Normal to classify its data. Feature selection is one way to reduce the number of attributes that exist by leaving the attributes that have a high effect on the dataset. In this study, the Boruta method is used as a feature selection to minimize the attributes and leave the attributes with high relative with the dataset. By reducing the attributes in the dataset through the feature selection process, sets of 17 and 18 attributes are selected as attributes with high relative with the dataset. These attributes then used to calculate the accuracy value of the dataset using the several classification methods and 90,3% accuracy is obtained from this study.]]>
<![CDATA[Value of Loss Load Analysis of Java-Bali System Based on Macro Economic Data ]]>
<![CDATA[Christina Purwaningsih]]>;
<![CDATA[Sarjiya Sarjiya]]>;
<![CDATA[Yusuf Susilo Wijoyo]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 1 No. 1 (2020): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v1i1.7
<![CDATA[Industrial and business sectors have big influence to gross domestic product in some regions (GDP). Beside that, GDP is influenced by electricity consumption. That statement is the reason why value of loss load (VOLL) had to be calculated. This research calculates VOLL for getting the value of outage cost, efficiency and productivity industrial and business sector in each Area Pengaturan Beban (APB) and in entire Java-Bali region. VOLL is calculated by macroeconomic analysis because this method has more time efficiency than survey analysis. VOLL forecasting in 2016-2023 are calculated too in this research. After that, the outage cost forecasting in hierarchical level 1 (HL 1) can be gotten if expected energy not supplied (EENS) from HL 1 is calculated. Before EENS calculation is held, analysis of another reliability indices such as loss of load expectation (LOLE) and loss of load probability (LOLP) were calculated. The calculation results show that VOLL in 2017 is 35,100.67 Rp/kWh and EENS in HL 1 is 7.25 MWh. Total outage cost from calculation is 289 million rupiahs.]]>
<![CDATA[Design And Build Up Of Sphygmomanometer Based On Android Supplemented With Food Recommendations ]]>
<![CDATA[Novita Wulandari]]>;
<![CDATA[Kemalasari]]>;
<![CDATA[Ni'am Tamami]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v1i2.9
<![CDATA[Blood pressure is a measure of how strong the heart is to pump blood around the body. Abnormal blood pressure can occur due to high blood pressure (hypertension) or low blood pressure (hypotension). Data from the World Health Organization (WHO) in 2015 showed that around 1.13 billion people in the world have hypertension, meaning that 1 in 3 people in the world are diagnosed with hypertension. Therefore, a sphygmomanometer was designed that could digitally detect blood pressure and provide food recommendations to stabilize blood pressure. The detection of blood pressure is carried out by the oscillometry method where the oscillation value occurs when blood first flows into the artery after clogging. Systolic blood pressure is determined by multiplying the Mean Arterial Pressure by 0.8. Meanwhile, diastolic blood pressure is determined by multiplying the Mean Arterial Pressure by 0.5. The results of the blood pressure will be displayed on the LCD display and sent to the smartphone. On the smartphone, blood pressure results and food recommendations will be displayed through the android application to make it easier for patients to remember recommended foods and monitor their own blood pressure results without the help of a medical or doctor.]]>
<![CDATA[Best Estimation Of Double Seasonal Pattern Electric Load Parameters Using Least Squares Method ]]>
<![CDATA[Ismit Mado]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 2 No. 1 (2021): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v2i1.11
<![CDATA[Forecasting is an important tool in planning an effective and efficient use of electrical loads. This paper presents an improvement in parameter estimation from previous studies. The results of previous studies indicate that the DSARIMA model is with MAPE about 2.06 percent. This model produces white noise residuals, but not normally distributed, which is thought to be due to outliers. Data smoothing is done to get the best data pattern. The analysis results show that the AR parameter iteration of the best DSARIMA model that is appropriate for short-term forecasting is with MAPE about 1.56 percent.]]>
<![CDATA[Design of Environmentally Friendly Air Conditioning System Based on Thermo Electric Peltier Tec1-12706 ]]>
<![CDATA[Akbar Sujiwa]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v1i2.12
<![CDATA[Environmentally friendly problems have been widely studied in scientific journals, one of which is the use of gases that can damage the environment in a variety of cooling devices such as refrigerators and air conditioners (AC). In the past two decades, most of the refrigeration engines were still using Chloro Fluoro Carbons (CFC) gas, which had been researched in fact could damage the ozone layer. One alternative is to use freon gas to replace CFC gas as a component of air conditioning. Until now, CFC gas has been completely replaced by freon gas in the use of household appliances. But the use of this gas still has a bad side, especially for humans, when it inhaled in a certain amount can cause death. Therefore, in this study an air conditioning device with a main component was designed using thermoelectric TEC1-12706 which utilizes the Peltier effect in producing cold temperatures. This device is able to cooling a room with dimension 12 m2 in the interval of time 120 minutes to a temperature of 28.1 °C.]]>
<![CDATA[The ACA-based PID Controller for Enhancing a Wheeled-Mobile Robot ]]>
<![CDATA[Heru Suwoyo]]>;
<![CDATA[Yingzhong Tian]]>;
<![CDATA[Andi Adriansyah]]>;
<![CDATA[Muhammad Hafizd Ibnu Hajar]]>;
<![CDATA[Tong Zhou]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v1i2.15
<![CDATA[Wall-following control of mobile robot is an important topic in the mobile robot researches. The wall-following control problem is characterized by moving the robot along the wall in a desired direction while maintaining a constants distance to the wall. The existing control algorithms become complicated in implementation and not efficient enough. Ant colony algorithm (ACA), in terms of optimizing parameters, has a faster convergence speed and features that are easy to integrate with other methods. This paper adopts ant colony algorithm to optimize PID controller, and then selects ideal control parameters. The simulation results based on MATLAB show that the control system optimized by ant colony algorithm has higher efficiency than the traditional control systems in term of RMSE.]]>
<![CDATA[Wireless Sensor Network Nodal Development for Low Cost and Low Power PH Soil Monitoring Agriculture 4.0 Application ]]>
<![CDATA[Galang Hakim]]>;
<![CDATA[muhammad Hafidz]]>;
<![CDATA[Ahmad Firdausi]]>;
<![CDATA[Eko Ramadhan]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v1i2.16
<![CDATA[According to a report from the United Nations estimates that by 2030 about 800 million people worldwide will suffer from hunger. To combat this problem the agricultural production needs to be increased by at least 60%. One of many parameters that need to be monitor to increase agricultural output was soil PH level. Soil PH is very influential on the development of rice plants, where high acidity soil will make plant unhealthy and die. In order to be able monitor soil PH level, we need low cost and long life WSN node that can monitor soil PH level. In this paper we have manage to a long life WSN node that can monitor PH level with low cost at about less than 15 US dollar. this WSN node PH meter are using couple of aluminum and lead couple electrode as sensor, and its deviation at about 0.73 compare with ATC 009 PH meter which only 0.55. This device also capable to operate for so long (which is 2 years operational time) using 0.1 duty cycle scheme.]]>
<![CDATA[Initial Design of Dual-Axis Solar Tracker to Increase Efficiency of Monocrystalline Solar Panel Using Fuzzy Logic Method ]]>
<![CDATA[Sin Euy Gun]]>;
<![CDATA[Levin Halim]]>;
<![CDATA[Faisal Wahab3]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v1i2.17
<![CDATA[Fossils and mines become the main sources for producing the electricity in Indonesia. Due to availability of the sources, the price gets higher and it has a bad impact to the environment. Therefore, we need a new source to produce the electricity. A solar energy can be a solution, it has an unlimited availability and it’s eco-friendly. Solar panel can be a media to convert sun energy to electrical energy. Solar panel will be more efficient if the face of the panel always facing toward the sun. In this research, a panel will be designed so it can always move towards the sun movement. Fuzzy logic method will be use to the tracking method because it can increase the efficiency higher. Fuzzy logic systems consist of 4 input and 2 output. The inputs are based on each LDR sensor and the output is the motor on each axis. Based on the calculation horizontal has a 0,73% error and the vertical has 0,41%.]]>
<![CDATA[ORCA Algorithm for Unit Commitment Considering Electric Vehicle Inclusion ]]>
<![CDATA[A.N. Afandi]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 2 No. 1 (2021): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v2i1.18
<![CDATA[The most cost-effective operation of a power system is achieved in practice by combining different types of producing units to create a committed power plan to satisfy load demand changes at all periods of operation. To reduce overall costs while upholding set limitations, power outputs from generating units are distributed based on load demand at a certain moment. Economic Dispatch models are used to account for changes in load demand to compute the overall cost variations of operation to fulfill a unit commitment (UC). Orca Algorithm is used in this work to solve the UC problem with the IEEE-62 bus system as the model, where loads are linked with flexible loads where the flexible load in this study is determined by the driving habits of an electric vehicle (EV). The simulation results show that the Orca Algorithm solves the problem in the fewest iterations possible. Computations used to compute load demand changes over all periods are fast and smooth, with high convergence. UC problem is carried out in various power outputs, and total operating expenses. Furthermore, the EV has different driving characteristics as well as power users to cover the entire route for driving patterns with one-way and two trips.]]>
