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Jurusan Teknik Elektro, Fakultas Teknik. Universitas Bangka Belitung. Gedung Dharma Penelitian, Fakultas Teknik Kampus Terpadu Universitas Bangka Belitung Balunijuk, Kabupaten Bangka, Prov. Kep. Bangka Belitung, 33172
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Electron: Jurnal Ilmiah Teknik Elektro
Published by Universitas Bangka Belitung
ISSN : 2830523X     EISSN : 26226588     DOI : https://doi.org/10.33019/electron
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy
E-journal of the Department of Electrical Engineering, Faculty of Engineering, University of Bangka Belitung, is a media for publication and information for scientific papers, undergraduate thesis, research, planning and design concepts, and analysis from students, professors, or any authors concerning various fields of electrical engineering, including electronic engineering, control engineering, telecommunication, and even electricity. This journal is published twice a year, in May and November. Every article on this e-journal has never been published before in other scientific journals. Aims and Scopes: Electronics: Electronics Material, Microelectronics System Control System: Control System Engineering, Control and Instrumentation Engineering, Robotics Telecommunication: Signal Modulation and Processing, Antenna and Wave Propagation IT: Theory of Information and Coding, Computer and Informatics Engineering Electrical Power Engineering: Electricity, Transmission and Distribution, Renewable Energy.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 87 Documents
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Rancang Bangun Prototype Sistem Deteksi Kebakaran Menggunakan Board EY1703 Berbasis Mikrokontroler STC15F2K32S2 Fatrunadi, Dwi Abrar; Purwanti, Dwi
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.245

Abstract

Fires are common disasters in Indonesia, mainly caused by electrical short circuits and gas stove explosions, requiring an effective early detection system. While fire detection technology has improved, research on the reading speed of the STC15F2K32S2 microcontroller remains limited. This study evaluates the reading speed of the STC15F2K32S2 microcontroller in a fire detection system based on the EY1703 board, using flame and gas sensors as inputs and a buzzer and running LEDs as outputs. Tests were performed at distances from 5 cm to 20 cm with sensor tilt angles of 0°, 5°, and 10°. At a 0° tilt angle, the flame sensor reading time increased from 26.2 ms (5 cm) to 38.4 ms (20 cm), the buzzer from 44 ms to 61.8 ms, and the running LEDs from 48 ms (10 cm) to 29.2 ms (20 cm). At a 5° tilt angle, the flame sensor and buzzer reading times increased from 45.6 ms to 55.6 ms and from 49 ms to 63.8 ms, respectively, while the running LEDs remained stable at 43.6–52.8 ms. At a 10° tilt angle, the flame sensor time increased from 52.8 ms to 62.2 ms, the buzzer stayed between 48.2–56 ms, and the running LEDs increased from 32.8 ms to 61.2 ms. For gas detection, the average response times for CO, methane, LPG, and hydrogen were 53.4 ms, 47 ms, 47.6 ms, and 56.6 ms, respectively. Future research should explore additional sensors or IoT integration to improve detection speed and range.
Inovasi Winding Otomatis pada Transformator: Solusi Efisien untuk Produksi Transformator Modern Mardiansyah; Kusnadi, Heri; Amir, Firman
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.281

Abstract

The advancement of electronic technology has significantly impacted human lifestyles, including the development of transformers. Although transformer winding machines have existed previously, the process remains manual and prone to errors. To address this issue, this study focuses on developing an automated copper wire winding system for transformers. The research employs a research and development method, resulting in the design and construction of an automatic transformer winding system. The device utilizes an Arduino microcontroller as its processor and a proximity sensor to detect the number of wire turns. During testing, voltage and current measurements were conducted on transformers produced by the automatic winding machine. The results indicate that the voltage error ranges from approximately 0.16% to 0.9%, while the current error is around 1.5%. By using this automated transformer winding machine, the transformer production process becomes more efficient, accurate, and time-saving. Thus, this tool has the potential to serve as an effective solution for the production of power and distribution transformers for electrical networks.
Tinjauan Literatur: Deteksi Anomali Berbasis Analisis Waktu pada CAN Bus Kendaraan Listrik Setiawan, Putu Ayu Citra; Giriantari, Ida Ayu Dwi; ER, Ngurah Indra
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.282

Abstract

The development of modern automotive technology emphasizes the importance of vehicle connectivity and autonomy, with the aim of enhancing safety and comfort. Due to its role in managing critical vehicle functions and its vulnerability to security threats, the automotive industry has developed two primary approaches to address CAN Bus security. Therefore, the automotive industry has developed two main approaches to address this security issue. First, passive defense through security protocols that include encryption, authentication, and message verification, and second, anomaly detection using advanced technologies. Several anomaly detection methods have been introduced, including K-Means clustering, Support Vector Machines, and Deep Learning, each offering advantages in detecting specific attack patterns. However, one increasingly popular approach is time analysis, which leverages message inter-arrival patterns and clock skew on the CAN Bus to identify suspicious behavior and detect anomalies in real-time. Although this method has shown effectiveness in detecting various types of attacks, the main challenge lies in its ability to identify highly concealed attacks that may not be visible to traditional methods. This research provides an understanding of various anomaly detection approaches on electric vehicle CAN Bus networks, with a primary focus on time analysis. By reviewing several approaches, this study offers valuable insights into improving the security of electric vehicles and the overall smart transportation ecosystem. The results show that time-based analysis methods can detect various types of attacks, such as spoofing, replay attacks, and denial-of-service, with high efficiency.
Rancang Bangun Sistem Throttle Brushless DC Motor pada Kursi Roda Elektrik Natanael, Ferdinand; Arthaya, Bagus Made; Wahab, Faisal
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.293

Abstract

An electric wheelchair is a mobility aid designed to support the activities of individuals with physical disabilities, particularly those who have difficulty moving independently. This device consists of several main components, including a mechanical frame with four wheels two drive wheels powered by electric motors and two caster wheels at the front as well as a control system in the form of a joystick, a battery as the power source, and a seat designed for user comfort. With the advancement of technology, it is essential to integrate more efficient and accurate control systems into electric wheelchairs. This study aims to design and develop a throttle and tachometer system based on a Hall-effect sensor for electric wheelchairs to enhance movement control and accuracy. The system allows users to operate the wheelchair to move forward, turn right, and turn left using only the joystick. The methodology includes modifying a conventional wheelchair frame, integrating a BLDC motor, designing the throttle system, and implementing a Hall-effect sensor for real-time wheel rotation speed measurement. The results show that the Hall-effect sensor-based tachometer system demonstrates a high level of accuracy, with a measurement error of only 0.32% compared to standard measuring instruments. The BLDC motor used in the system is capable of reaching a maximum rotational speed of 450 RPM. These findings prove that the developed system improves the performance and reliability of electric wheelchairs while providing better comfort and independence for users.
Tinjauan Komprehensif: Simulasi Sistem Disk Scheduling dengan Berbagai Algoritma Menggunakan OS Sim Putri, Fidel Lusiana; Djuniadi; Rochim, Febry Putra
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.302

Abstract

Disk scheduling is one of the important components in operating system resource management to optimize data access on storage devices. Operating systems use various algorithms to manage input/output (I/O) requests more efficiently, including Shortest Seek Time First (SSTF), LOOK, and Circular LOOK (C-LOOK). This research aims to evaluate and compare the performance of these algorithms in managing disk requests through simulations using OS-SIM. The applied methodology includes simulating a queue of random I/O requests on disks with specific configurations. The data analyzed includes Total Head Movement (THM) and Average Seek Time (AST) for each algorithm. The simulation is performed with a predefined initial position of the disk head, and each algorithm is tested based on how each of them manages the disk access sequence. The results show that the SSTF algorithm is the most efficient with the lowest THM and AST values of 208 tracks and 29.71 ms AST, compared to the LOOK and C-LOOK algorithms. The LOOK algorithm provides a balance between efficiency and fairness, as it is able to minimize head movement without ignoring distant requests. Meanwhile, C-LOOK is more effective in reducing the possibility of starvation on requests at the end of the disk, but at the cost of increasing the number of head movements. This research provides a clearer picture of the advantages and disadvantages of each algorithm, which can be used as a reference in the selection of disk scheduling algorithms in systems that require high efficiency and reliability in I/O management.
Deep Learning dan Model Tradisional untuk Peramalan Kecepatan Angin di Arab Saudi Hidayat, Ikhsan; Abido, Mohammad Ali
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.312

Abstract

This study evaluates the performance of traditional statistical methods, specifically the Seasonal Autoregressive Integrated Moving Average (SARIMA), in comparison to advanced deep learning models—Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Convolutional Neural Network (CNN)—for wind speed forecasting across various regions in Saudi Arabia: Al-Jouf, Abha, Al-Ahsa, and Al-Dawadami. The historical wind speed dataset covering the year 2018 was utilized, with data preprocessing conducted using the Exploratory Data Analysis (EDA) method to ensure consistency and quality. The models were assessed based on three primary error metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Square Error (RMSE). Results show that CNN consistently outperforms SARIMA and the other deep learning models, particularly when forecasting stable wind speed patterns. LSTM demonstrates an ability to handle fluctuating wind speeds effectively, while BiLSTM offers advantages in capturing complex bidirectional temporal dependencies. On the other hand, SARIMA generally exhibits lower performance compared to deep learning approaches. The superior performance of CNN is likely attributed to its strength in local feature extraction and handling spatial patterns effectively, which are beneficial for short-term forecasting. These findings provide valuable insights into model selection for wind energy forecasting and can contribute to optimizing renewable energy integration and planning strategies. Future work may explore hybrid model approaches to further enhance forecasting accuracy.
Analisis Rekonfigurasi Jaringan Menggunakan Particle Swarm Optimization untuk Meningkatkan Voltage Stability Index Simamora, Yoakim; Astrid, Erita; Immanuel, Michael Fritz; Waluyo, Bakti Dwi; Sembiring, Muhammad Aulia Rahman; Dewy, Mega Silfia; Silitonga, Agnes Irene; Ginting, Lisa Melvi
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.330

Abstract

The distribution system is a part of the power system that distributes electrical energy from the transmission network to medium and low voltage consumers, such as households, industrial consumers, and other facilities. Network reconfiguration is the process of restructuring and configuring the network by opening and closing switches to obtain the most optimal network configuration. In this study, the determination of switch opening and closing uses the binary particle swarm optimization (BPSO) algorithm, whose basic principle in finding optimal values is based on the social behavior of birds flocking or fish swimming together.. To measure voltage stability, this research presents the Voltage Stability Index (VSI), improving voltage stability using network reconfiguration with the BPSO algorithm. In this study, the VSI value will be compared with other algorithms, including the PSO algorithm from previous research, the Cuckoo Search Algorithm (CSA), the Harmony Search Algorithm (HSA), and the Modified Whale Optimization Algorithm (MWOA). The simulation results show that the BPSO algorithm can reduce power loss from an initial value of 202.7 kW to 139.3 kW, a decrease of 31.28%. Compared to other algorithms, BPSO has the best percentage reduction in power loss. The simulation results also show that the VSI value improved from an initial value of 0.2112 to 0.1520, an increase of 28%. In improving the VSI value in the IEEE 33 bus distribution system, the BPSO algorithm became the best algorithm for enhancing the VSI value.
Analisis Kontingensi Saluran Transmisi 150 kV pada Subsistem Jambi Nazwan, Ahmad Rifki; Tessal, Dasrinal; Rabiula, Andre
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.285

Abstract

High-voltage electrical systems are essential for maintaining a stable and efficient electricity supply. However, increasing capacity and expanding networks increase the risk of disruptions that can trigger blackouts. System reliability relies heavily on its ability to survive sudden disturbances, such as loss of generation or transmission line breaks. Contingency analysis (N-1) is used to predict system conditions and design appropriate mitigations to improve reliability. This study analyzes contingency in the Jambi 150 kV subsystem using the Newton-Raphson method in ETAP 19.0.1 software, with a Performance Index (PI) approach. The results show the Muara Bulian - Aurduri line has the highest PI (4.3382), while Aurduri - Muara Sabak has the lowest (1.4754). Contingency on the Aurduri - Muara Bulian line causes low voltage at the Sarolangun and Muara Bulian buses, 130.376 kV and 131.193 kV respectively. In addition, there is a redistribution of power flow that increases the load by 20.42% on the Muara Tebo - Aurduri line. As a mitigation measure, the installation of shunt capacitors of 5.807 MVar at Sarolangun bus and 23.074 MVar at Muara Bulian is recommended
SISTEM CHARGING 110 VDC SEBAGAI SUPPLY CONTROL CIRCUIT VOLTAGE KUBIKEL 20 KV Prakoso, Dimas Nur; Prasetyo, Yuli; Winarno, Basuki; Triyono, Budi; Triwijaya, Santi
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.322

Abstract

The 110VDC supply at the substation serves as a supply for the control and protection system at the cubicle panel. In addition, the 110VDC battery used as a backup supply plays an important role when the main supply source is lost. Loss of supply 110VDC is fatal to the electrical system. Causes electrical interference cannot be monitored and protection failure. 110VDC batteries may experience voltage drops. There are several ways to keep the battery in good condition when used, one of them with a charging system which functions to maintain the condition battery. This system uses a Buck converter circuit with charging pulses through the duty cycle can distribute high electric current to battery. With a Buck converter output voltage of 111 Volt 6.54 A at duty cycle 55% using dummy load. Test results with a voltage of 110VDC and a current of 5A in testing with dummy load of 10Ω480W obtained voltage output of 103VDC and current of 8.40A, in testing with dummy load of 10Ω400W received voltage output of 136VDC and current of 6.28A, in testing with dummy load of 12Ω500W received voltage output of 122VDC and current of 6.00 A, in testing with dummy load of 15Ω500W received voltage output of 127VDC and current of 5.88 A, in testing with dummy load of 11Ω500W received voltage output of 111VDC and current of 6.54A. From the overall test data by providing a load in the form of a dummy load, an average error of 9.86% was obtained.
Prototipe Sistem ETCS Berbasis Arduino Uno Pada Kereta Light Rail Transit Sumatera Selatan Anugrah, Ikhsan; Fitriani, Endah
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.333

Abstract

This study aims to develop a simulation of the ETCS (European Train Control System) system based on Arduino Uno for Light Rail Transit (LRT) trains in South Sumatra. The main focus of the study is on the automation of train operation, the identification of disturbing objects, and handling potential errors in programming. Tests and analysis show that an active Ultrasonic Sensor allows the train to stop if there is an object blocking it in front of it at a distance of less than 20 cm. The TCS200 color sensor plays an important role in activating the Servo so that the crossbar can be active so that the train can run again. The colored signal LED lights become markers, the red LED indicates the down bar and the green LED lights indicates the up bar. The LCD is here to display the destination of the train station which is located on the side of the train body. The buzzer is a marker for the train stopping and the timer is set to 5 seconds per each train stopping at the station. Of course there are drawbacks, namely that there are no automatic doors when the train stops at the station and the station is relatively quiet and there are no additional accessories and lights at the station

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