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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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Studi Kuantitatif Respons Memristor Model Joglekar dan Biolek terhadap Variasi Sinyal Input Ramdhani, Mohamad; Purnama, Irwan
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.v6i2.334

Abstract

This study aims to analyze the response of the Joglekar and Biolek memristor models to variations in input signals using LTspice simulations. Memristors, as key components in non-volatile memory technology and neuromorphic computing, have a unique ability to store information through changes in resistance that depend on the history of the current flowing. Although various mathematical models have been developed to represent the behavior of memristors, this research focuses on two of the most widely used models: Joglekar and Biolek. These two models differ in their mathematical approaches, particularly in the use of window functions to regulate the memristor's response to input signal variations. Simulations were performed with three different types of input signals: sinusoidal, square, and triangular waves, to evaluate the memristor's response to variations in signal frequency and amplitude. The data from the simulations were analyzed quantitatively using descriptive statistics, including mean, standard deviation, variance, median, and range calculations. The results show that the Joglekar model exhibits larger fluctuations compared to the Biolek model across all waveforms, particularly for the square wave. On the other hand, the Biolek model shows a more stable and consistent response. This study provides deeper insights into the advantages and limitations of each model in practical applications, especially in the development of memristor-based memory and neuromorphic computing systems
Filter Hybrid Double-Tuned dan High-Pass untuk Mitigasi Harmonisa pada Sistem HVAC Inverter Malik, Mochamad Irlan; Hamdani, Yuda Muhammad; Nurdiansyah, Rian; Faridah, Linda; Nurmela
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.v6i2.387

Abstract

Inverter-based Heating, Ventilation, and Air Conditioning (HVAC) systems are increasingly utilized in industrial settings for their superior energy efficiency and controllability. Despite these advantages, nonlinear switching in inverters generates significant harmonic distortion, particularly at lower-order frequencies such as the 3rd and 5th, which can compromise power quality, reduce system lifespan, and lead to non-compliance with regulatory standards. This study proposes a hybrid passive filter solution—combining a Double Tuned Filter (DTF) and a High Pass Filter (HPF)—to mitigate harmonic distortion in an industrial HVAC system. Field data collected using a Power Quality Analyzer (PQA) revealed a 3rd-order Individual Harmonic Distortion of Current (IHDi) of 12.9%, far exceeding the 4.0% threshold specified in IEEE 519:2022. The hybrid filter was analytically designed and validated through MATLAB/Simulink simulation. Post-simulation results demonstrated effective mitigation of Total Harmonic Distortion (THD) to 3.45%, with the 3rd-order IHDi mitigated to 3.42%, achieving full compliance with IEEE 519:2022. Furthermore, the hybrid filter preserved voltage waveform quality and suppressed high-order harmonics without incurring additional energy losses or resonance issues. The combination of DTF and HPF offers wide-spectrum harmonic mitigation and enhanced power system stability. This solution is well-suited for high-load, scalable infrastructures aligned with Industry 4.0 requirements. The study concludes that passive hybrid filters are a reliable and cost-effective strategy for harmonic suppression, and future work should explore real-time adaptive control and hybrid active-passive configurations for enhanced dynamic performance
Optimasi Penempatan dan Penentuan Kapasitas Distributed Generator Menggunakan Cucko Search Algorithm untuk Mengurangi Rugi Daya Agnes Irene Silitonga; Simamora, Yoakim; S, Muhammada Aulia Rahman; Dewy, Mega Silfia; Silitonga, Agnes Irene; Ginting, Lisa Melvi
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.v6i2.409

Abstract

Power losses in electrical distribution systems remain a major challenge that significantly impacts energy efficiency and system reliability. One promising approach to address this issue is the optimal placement and sizing of Distributed Generators (DGs) within the distribution network. This study aims to optimize DG placement and capacity using the Cuckoo Search Algorithm (CSA) and to compare its performance with several other algorithms, namely the Black Squirrel Optimization Algorithm (BSOA), Sine Cosine Algorithm (SCA), Teaching Learning Based Optimization - Grey Wolf Optimizer (TLBO-GWO), and GWO. The study was conducted on the IEEE 33-bus test system under two scenarios, with the initial condition of the distribution system exhibiting a power loss of 202.7 kW. In First Case Study, CSA achieved the lowest power loss of 105.31 kW, corresponding to a 48.05% reduction. In contrast, BSOA and TLBO-GWO reduced losses to 116.67 kW (42.44%) and 128.46 kW (36.62%) respectively. In Second Case Study, CSA again demonstrated superior performance with a loss reduction of 56.66%, outperforming SCA (56.33%), BSOA (55.97%), and GWO (55.82%). The optimal DG placement and sizing significantly improved overall system efficiency. The results indicate that CSA possesses strong exploration and convergence capabilities in identifying optimal DG configurations. Its application enables greater reduction in power losses while also enhancing voltage profiles and system stability. These findings suggest that CSA is an effective and competitive method for power distribution optimization involving distributed generation
Analisis Hidrofobisitas dan Estimasi Kekuatan Dielektrik Isolator Keramik 150kV dengan Pelapisan RTV-SiR+SiO₂ untuk Peningkatan Keandalan Sistem Transmisi Listrik Rahmat Hidayat, Ferdy; Warmi, Yusreni; Amalia, Sitti; Rachman, Arifita Yuana Dewi
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.v6i2.413

Abstract

The primary challenge along the Koto Panjang–Payakumbuh transmission line is the elevated levels of pollution and humidity, which accelerate insulator surface degradation and increase the likelihood of flashover. This study aims to analyze the hydrophobicity characteristics and estimate the dielectric strength of 150-kV ceramic insulators before and after coating them with a mixture of RTV (Room Temperature Vulcanizing) silicone rubber and SiO₂ nanoparticles. The research employed a quantitative experimental approach in accordance with IEC TS 62073-2016. Hydrophobicity was evaluated using the sessile drop method, while the coating was applied through a spray-coating technique using a formulation of RTV-683, silica, hardener, thinner, and xylene. The results indicate a significant improvement in surface hydrophobicity, demonstrated by an increase in contact angle from an average of 72° to 113° after coating. The coated insulators also exhibited a reduction in leakage current of up to 46% compared to uncoated conditions, alongside an increase in dielectric strength from 73.58 kV to 163.70 kV. Empirical correlations reveal a strong relationship between enhanced hydrophobicity and improved electrical performance. The novelty of this study lies in its integrated evaluation of hydrophobicity and dielectric strength on ceramic insulators operating in tropical environments using RTV–SiO₂ nano-coating, an area that has received limited attention in previous research
Rancang Bangun Sistem Pengendalian Pencahayaan dan HVAC Berbasis Internet of Things (IoT) Apriliansyah, Muhammad; Rizkiandi, Yulizar; Surojo; Maulana, Ade Putra
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.v6i2.422

Abstract

— In this modern era, numerous buildings require effective and intelligent energy management solutions. An automatic control system for lighting and HVAC based on the Internet of Things (IoT) has been developed with the aim of improving energy efficiency in learning spaces. The system is designed to ensure the lighting intensity meets the standards set by the Ministry of Energy and Mineral Resources (ESDM) (≈250 lux), with an ideal room temperature of 22°C–26°C. The device consists of five Wemos D1 Mini units connected to DHT22 sensors to detect temperature and humidity, and BH1750 sensors to measure light intensity. All components are centrally controlled using an ESP32 microcontroller. Data is transmitted via MQTT protocol, which can be monitored in real-time through Blynk application. The implementation method includes literature study, prototype design and assembly, programming, hardware and electrical assembly, performance testing, evaluation, and final project reporting. This system allows five lamps and one air conditioner to operate automatically according to predefined parameters. The test results show that the light intensity reached 264.8 lux in the morning and 263.9 lux in the afternoon with four lamps on, which meets the classroom lighting standard. Meanwhile, the HVAC test produced an average room temperature of 30.6°C, which did not significantly affect energy efficiency. However, the system was still able to reduce power consumption by approximately 39% compared to manual operation. The implementation of IoT in this system is expected to support the realization of smart buildings that are more efficient and environmentally friendly
Sistem Pemantauan Postur: Pendeteksi Durasi Bungkuk dan Postur Tubuh Berbasis IoT Aan Febriyansyah; Misri Yandi; Rizky Daffa Pratama; Pratama, Tio
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.v6i2.424

Abstract

The main risk factors for non-communicable diseases (NCDs), particularly low back pain (LBP), which affects 18.1% of the population in Indonesia, are prolonged sitting and lack of physical activity.  The aim of this study was to develop an Internet of Things (IoT)-based system that can detect sitting duration and body posture to help people maintain ergonomic posture and regulate their sitting time.  This system uses an ESP32 microcontroller with a flex sensor and HY-SRF05 ultrasonic sensor to identify the user's presence.  To enable remote monitoring via a web application, sensor data is displayed on an I2C LCD and sent to a Firebase real-time database. A buzzer provides a warning when a person bends over (angle greater than 32.7°) or sits for longer than the set time.  Test results show that the system can accurately distinguish between normal posture (9°-15°) and slouching (32°-80°). The ultrasonic system records and stores data history in real-time via Firebase, enabling analysis of user posture trends and sitting duration. The sensor accuracy rate is 98.63% with an average error of 1.37%.  By adding historical data monitoring, smartphone notifications, and cloud-based data logger features, this system shows significant improvement over previous tools, although the timer test had an average time of 820 seconds. Further development is recommended to improve timer accuracy and user convenience by adding a wireless belt and a separate RTC module
Manajemen Queue Layanan Kesehatan: Pemanggilan Pasien Otomatis Berbasis IoT–Fasilitas Perawatan Primer Abi Ari Sandy; Septriandi; Saputra, Zanu; Santi, Yus Dwi
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.v6i2.425

Abstract

Community Health Centres (Puskesmas) as primary health care facilities face problems in queue management that affect service satisfaction and efficiency. Manual queuing systems, which are still commonly used, cause patient backlogs, irregular queuing, and psychological stress, especially for vulnerable groups such as the elderly and children. This study aims to design and implement an Internet of Things (IoT)-based automatic queue calling system to improve service effectiveness at Puskesmas. The methods used include case studies, field observations, and comprehensive system testing. This system integrates an ESP32 microcontroller as the control centre with various supporting components, including a thermal printer for printing queue tickets, a DFPlayer Mini module with a speaker for audio notifications, a P10 LED panel for visual display, and a 20x4 LCD with RTC for real-time monitoring. The system is also connected to a web platform via Firebase for recording and monitoring queue data. Test results show that the system operates optimally in all aspects, with clear audio output up to a distance of 15 metres, a printer that can print tickets consistently, and a clear visual display on the P10 panel. This system has proven effective in reducing patient waiting times, improving service comfort, and assisting staff in managing queues efficiently. The implementation of IoT technology in the queue calling system has made a significant contribution to improving the quality of public health services in the digital era

Page 9 of 9 | Total Record : 87

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