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
18 Documents
<![CDATA[Hybrid Design Optimization of Heating Furnace Temperature using ANFIS-PSO ]]>
<![CDATA[Machrus Ali]]>;
<![CDATA[Hidayatul Nurohmah]]>;
<![CDATA[Rukslin]]>;
<![CDATA[Dwi Ajiatmo]]>;
<![CDATA[M Agil Haikal]]>
<![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.v1i2.21
<![CDATA[-- Intelligent control design for industrial heating furnace temperature control is indispensable. PID, Fuzzy, and ANFIS controllers have been proven reliable and have been widely used. However, it is constrained in choosing a better gain controller. Then an approach method is given to determine the most appropriate controller gain value using the artificial intelligence tuning method. The artificial intelligence method used is a combination of the Adaptive Neuro Fuzzy Inference System and Particle Swarm Optimization (ANFIS-PSO) methods. As a comparison, several methods were used, namely; Conventional PID (PID-Konv), Matlab Auto tuning PID (PID-Auto), PSO tuned PID (PID-PSO), and Hybrid ANFIS-PSO. The ANFIS-PSO controller is the best choice compared to conventional single loop control systems, conventional PID, and matlab 2013a auto tuning methods to control this nonlinear process. The simulation results show that the ANFIS-PSO design is the best method with overshot = 0.0722, undershot 0.0085, and settling time at 18.8789 seconds which can produce a fast response with strong dynamic performance.]]>
<![CDATA[The MAPWE-Boosted AEKF with Recursive-Against-Iteration Noise Statistic for Feature-Based SLAM Algorithm ]]>
<![CDATA[Heru Suwoyo]]>
<![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.v2i1.22
<![CDATA[The unknown noise statistic might degrade the Filter performance or even lead to filter divergence. Accordingly, to enhance the classical EKF to approximate the recursive process and measurement noise statistic, based on Maximum A Posteriori creation and Weighted Exponent (WE) as the divergence suppression method, abbreviated as MAPWE, an adaptive EKF is proposed through this paper. Moreover, the existence of simplification during estimating noise statistics under MAP creation might also degrade its quality. Thus, the suboptimal MAP solution was also estimated based on Weighted Exponent. Indeed, the time-varying noise statistic under this process seems strongly accurate. But the complexity of the measurement covariance might also diverge from its positive definite characteristic. Thus, aiming to prevent this condition, the additional divergence suppression method was also involved in correcting the error state covariance in the smoothing step. This improvement is then used as SLAM algorithm for a mobile robot. Comparing to the conventional methods, it is better in term of RMSE for the estimated path and estimated map.]]>
<![CDATA[Traffic Light Control System With Image Segmentation Technique and Pattern Matching Technique Using NI myRIO ]]>
<![CDATA[Anugrah, Rizki]]>;
<![CDATA[Andang, Asep]]>;
<![CDATA[Sugiartana Nursuwars, Firmansyah Maulana]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 6 No. 1 (2025): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v6i1.26
<![CDATA[Traffic congestion is still a serious problem in many big cities in Indonesia, one of which is due to traffic light settings that are less adaptive to vehicle conditions on the road. This research aims to design and analyze the performance of an adaptive traffic light control system with image segmentation and pattern matching techniques using NI myRIO. The tests include selecting the optimal resolution, comparing fps with webcam input and AVI video, determining the best camera angle, and testing the system in bright, dim, empty streets, and early morning conditions. The results showed that a resolution of 176 × 144 and a camera angle of 90° provided the best performance. AVI video can be used as an alternative in system testing as the results are similar to webcam. The system performed optimally in bright conditions with an F-1 Score of 79.33% and a match rate score of 100% with an average fps of 9.93 fps. However, in dim conditions the performance decreased with an F-1 Score of 69.33% and a Match Rate Score of 41.67% with an average of 10.25 fps. In empty streets and early morning conditions, the system can still operate but sometimes experiences processing delays.]]>
<![CDATA[Forecasting Joule Thief Efficiency Using Fuzzy Logic Method ]]>
<![CDATA[Jamaaluddin, Jamaaluddin]]>;
<![CDATA[Akbar, Ilham Yusuf]]>;
<![CDATA[Hadidjaja, Dwi]]>;
<![CDATA[ahfas, Ahmad]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 6 No. 1 (2025): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v6i1.29
<![CDATA[The electrical device is initially require energy to operate now gradually began to change with a device that could save electricity and more environmentally friendly,Eifisien is the ratio between the input (input) and output (between benefit with the resources used. Joule Thief has the potential to become an innovation because it is able to generate electrical energy through the development of electrical components that generate electromagnetic fields in coils or coils. Where in this analysis using using fuzzy logic to analyze the efficiency of Joule Thief. Of testing and research that has been downLighted lamps old forecasting for the Joule Thief circuit on the primary winding 10 and secondary winding 17 obtained the value of the average percentage error 0.2994, Then on the primary winding and the secondary winding 5 7 Average values obtained percentage error 0434 as well as on the primary winding 5 and the secondary winding 20 obtained average value percentage error 0.8711, Based on these data also concluded that the Joule Thief with the primary winding 10 and secondary winding 17 is the most efficient because it has an average percentage of a small error is 0.2994.]]>
<![CDATA[Design of Smart Hydroponics Based on Internet of Things (IoT) Using Rule-Based System on Hydroponic Wick System ]]>
<![CDATA[Prasetyoaji, Mukhamad Rio Eka]]>;
<![CDATA[Anifah, Lilik]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 6 No. 1 (2025): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v6i1.34
<![CDATA[This research develops an IoT-based intelligent hydroponic system to monitor and control nutrient and pH levels in wick-type hydroponic cultivation. The system uses an ESP32 microcontroller integrated with an MQTT-based IoT platform for real-time monitoring and automation. The rule-based system classifies plant conditions and controls actuators based on pH and nutrient levels. Experimental testing shows that the TDS and pH sensors work well. Using the two-factor correction method, the TDS sensor achieved high accuracy with a maximum error of 0.08% within the optimal range of 1,050-1,400 ppm. The pH sensor maintains an error below 2% within the ideal range of 5.5-6.5. The system supports automatic and manual pump control. QoS evaluation of MQTT communication showed stable performance with average throughput of 36.38 kbps (QoS 0), 2.54 kbps (QoS 1), and 1.55 kbps (QoS 2); delays of 762.68 ms, 1053.3 ms, and 1433.12 ms; and jitter of 26.91 ms, 28.44 ms, and 35.62 ms. Packet loss was 0% at all QoS levels, indicating reliable data transmission. Overall, the system improves monitoring accuracy and control efficiency, offering a practical solution for real-time automated hydroponic cultivation to support urban food security.]]>
<![CDATA[Comparative Analysis of Lightweight CNN Architectures for Railway Track Fault Detection ]]>
<![CDATA[Zain Haq, Avip]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 6 No. 2 (2025): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v6i2.35
<![CDATA[The application of artificial intelligence is widely used in various industrial sectors, including the transportation sector, one of which is the use of Image Processing to detect damage to railway lines. Railway conventional inspections involve visually examining and measuring railway infrastructure to identify potential problems. These inspections are an important aspect of ensuring the safety and efficiency of the railway network. In some places, railway track inspections still use conventional methods with electricity and vision. The use of artificial intelligence is expected to minimize errors, increase efficiency, reduce time and costs in train damage inspections. This research aims to find the best architecture and its development is expected to be used Accelerate the process of locating damage so that railroads can be repaired immediately. In this study, we evaluate the CNN model with the lightweight model to classify the image of the condition of the train track. Several types of lightweight models chosen are EfficientNetB0, EfficientNetB3, MobileNetV2, NasNetMobile. From the results of the evaluation carried out, it was found that EfficientNetB0 was 0.875, EfficientNetB3 was 0.958, MobileNetV2 was 0.917, and NasNetMobile was 0.8333.]]>
<![CDATA[Impact Analysis of Cirata Floating PV Integration on Frequency Stability in the 500 KV Java-Bali Grid ]]>
<![CDATA[Yayan, Yanuar Wahyu Gianto]]>;
<![CDATA[Krismanto, Awan Uji]]>;
<![CDATA[Muljanto, Widodo Pudji]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 6 No. 2 (2025): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v6i2.38
<![CDATA[Rising global demand for clean energy has accelerated the deployment of renewable energy sources, notably Solar Photovoltaic (PV) systems. The Cirata Floating Solar PV Plant, with an installed capacity of 192 MWp and interconnected to the 500 kV Java-Bali transmission network, represents a key national strategic project aimed at supporting the national energy mix target. However, the integration of inverter-based renewable generation such as PV plants introduces challenges to system frequency stability, primarily due to the absence of rotational inertia contribution. This research analyze the impact of the Cirata Floating Solar PV integration on the frequency stability of the 500 kV Java-Bali power system. The analysis is conducted through time-domain dynamic simulations using DigSILENT PowerFactory software, incorporating load flow and dynamic simulation methodologies under three operating scenarios: load shedding, 50% load bekasi increase, and Tripping of saguling power plant. Key frequency stability indicators, namely frequency nadir and Rate of Change of Frequency (RoCoF), are evaluated. The simulation results indicate a degradation in frequency stability performance following the integration of PV due to reduced system inertia. Nevertheless, under specific operating conditions, the PV plant exhibits a beneficial damping effect on frequency deviations.]]>
<![CDATA[Investigation of the Impact of Generator Tripping on Transient Stability in a Two-Generator Power System ]]>
<![CDATA[Faraby, Muhira Dzar]]>;
<![CDATA[Sofyan, Sofyan]]>;
<![CDATA[Fajri, Muh. Asri]]>;
<![CDATA[Ramadhan, Fathir]]>;
<![CDATA[Syahrir, Muhammad]]>;
<![CDATA[Zuhri, Muh. Hafizh]]>;
<![CDATA[Winarni, Sry]]>
<![CDATA[ Journal FORTEI-JEERI Vol. 6 No. 2 (2025): FORTEI-JEERI ]]>
Publisher : <![CDATA[Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI) ]]>
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DOI: 10.46962/forteijeeri.v6i2.43
<![CDATA[Transient stability is a crucial aspect of power systems that determines the system’s ability to maintain synchronization after experiencing a sudden major disturbance. This study analyzes the response of the IEEE 30-Bus system to the scenario of tripping one of the two generators at the 1st second, simulated using the Electrical Transient Analyzer Program (ETAP 21). The system was modeled with two generators, where Generator 1 acts as the swing generator and Generator 2 as the voltage control generator, supported by 21 loads and two motors controlled by PWM and VFD. The case study focused on the disconnection of Generator 1, with system frequency response observed from the 1st to the 30th second. Results showed that system frequency dropped from 50 Hz to 49.4 Hz, then increased and stabilized at 49.7 Hz (99.4% of the initial condition) due to the inertia and governor action of the remaining generator. These findings highlight the importance of software-based transient studies in understanding the dynamic characteristics of power systems and in designing effective mitigation strategies]]>
