cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Solly Aryza
Contact Email
sollyaryzalubis@gmail.com
Phone
+6281260252061
Journal Mail Official
jet@ft.uisu.ac.id
Editorial Address
Jl. Sisingamangaraja, Teladan, Medan 20217
Location
Kota medan,
Sumatera utara
INDONESIA
Journal of Electrical Technology
Published by Universitas Islam Sumatera Utara
ISSN : 25023624     EISSN : 25981099     DOI : https://doi.org/10.30743/jet
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Focus and Scope Journal of Electrical Technology is a peer-reviewed scientific journal that publishes high-quality original research papers, review articles, and technological developments in the fields of Electrical Engineering, Computer Engineering, and Informatics Engineering. The journal aims to provide a platform for researchers, academics, and practitioners to disseminate innovative ideas, theories, methodologies, and applications that contribute to the advancement of science and technology in electrical, computer, and information systems engineering. Focus The primary focus of the journal is on theoretical development, design, implementation, analysis, and evaluation of technologies related to electrical systems, computer engineering, and informatics that support industrial development, digital transformation, and sustainable technological innovation. Scope 1. Electrical Engineering Power systems and renewable energy Power quality analysis Power electronics Control systems and instrumentation Electrical machines and drives Electrical protection systems Smart grid technology Energy efficiency and energy management Industrial electrical systems High voltage engineering 2. Computer Engineering Computer architecture and embedded systems Internet of Things (IoT) Digital systems and microprocessors Computer networks and data communication Robotics and intelligent systems Sensors and actuators Computer-based monitoring and control systems Edge computing and cyber-physical systems Hardware design and system integration 3. Informatics Engineering Software engineering Information systems Artificial Intelligence Machine learning and data mining Cyber security and information security Big data and data analytics Web and mobile application development Human-computer interaction Cloud computing Multimedia and image processing Types of Articles Accepted Original research articles Review articles Case studies System or prototype development Technology implementation studies Modeling and simulation studies Soft Computing.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 498 Documents
 46   47   48   49   50 
Identification of Partial Discharge Phenomena in Glass Insulator Testing Using HFCT Syofyan Anwar Syahputra; Muhammad Fadlan Siregar; Muhammad Ikhwan Fahmi; Mhd Fahmi Syawali Rizki; Ahmad Faisal
JET (Journal of Electrical Technology) Vol 11, No 2 (2026): : Edisi June
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i2.13301

Abstract

Insulators are vital components in electrical power transmission systems, yet they are susceptible to degradation caused by electrical and environmental stresses. This study aims to analyze Partial Discharge (PD) characteristics in glass and porcelain insulators as an early indicator of insulation failure. Experimental testing involved a step-wise increase in AC voltage from 5 kV to 20 kV, alongside simulations of extreme conditions using exposure to a flame to trigger flashover phenomena. Discharge activity was detected using a PMDT PDetector instrument in accordance with the IEC 60270 standard. The results indicate that within the 5–15 kV range, the insulators exhibited stable performance with PD magnitudes below 20 dB. However, at 20 kV, a significant anomaly was observed in the glass insulator, characterized by a magnitude spike reaching 174 dB across the 360° phase, signaling a transition toward total failure. Phase-Resolved Partial Discharge (PRPD) pattern analysis demonstrated that thermal stress drastically lowers the air breakdown voltage threshold near the insulator surface. The study concludes that high-frequency detection methods are highly effective for the non-intrusive monitoring of insulation conditions, thereby helping to prevent catastrophic failures in electric power systems.
Temporal Gradient Oscillation with Accuracy Recovery Mechanism for Efficient BERT-Based Text Classification Indra Listiawan; Ema Utami; Kusrini Kusrini; Arief Setyanto
JET (Journal of Electrical Technology) Vol 11, No 2 (2026): : Edisi June
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i2.13472

Abstract

Large Language Models (LLMs) such as BERT have demonstrated impressive performance across various NLP tasks, yet their high computational cost poses challenges for deployment in resource-constrained environments. This paper proposes a dynamic temporal token pruning approach based on gradient oscillation monitoring, where token importance is estimated from the temporal variability of gradient signals during training. Tokens exhibiting low gradient oscillation are selectively pruned to reduce effective input length. To mitigate potential performance degradation caused by aggressive pruning, an accuracy recovery mechanism based on lightweight re-finetuning is introduced. Experimental results on benchmark sentiment classification datasets, including IMDB and SST-2, demonstrate that the proposed method substantially reduces the number of input tokens while maintaining or recovering predictive performance. These results indicate that gradient oscillation provides a viable signal for token-level efficiency, achieving a favorable trade-off between input sparsity and model accuracy without modifying the underlying Transformer architecture.
Representasi Distribusi Energi EEG Multi-Channel untuk Deteksi Aktivitas Epilepsi Menggunakan SVM Siswandari Noertjahjani; Ratih Sari Wardani; Aris Kiswanto
JET (Journal of Electrical Technology) Vol 11, No 2 (2026): : Edisi June
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i2.13713

Abstract

Deteksi epilepsi berbasis electroencephalogram (EEG) menghadapi tantangan berupa ketidakseimbangan kelas, data leakage, dan variasi sinyal antarpasien. Penelitian ini mengusulkan representasi distribusi energi EEG multikanal menggunakan Support Vector Machine (SVM) dengan kernel Radial Basis Function (RBF). Dataset CHB-MIT dipreproses dan disegmentasi menjadi window berdurasi 2 detik dengan overlap 25%. Setiap window direpresentasikan oleh 23 fitur energi domain waktu dan 23 fitur Power Spectral Density (PSD) metode Welch, sedangkan energy map berukuran 23 × 16 digunakan sebagai visualisasi distribusi energi kanal–waktu dan bukan sebagai masukan model. Evaluasi dilakukan menggunakan independent file-wise testing, grouped file-wise 5-fold cross-validation, dan patient-wise Leave-One-Subject-Out (LOSO). Untuk mencegah data leakage, pembagian data dilakukan pada tingkat file atau pasien sebelum segmentasi, sedangkan undersampling dan standardisasi hanya diterapkan pada data pelatihan. Hasil file-wise testing menunjukkan akurasi 93,247%, sensitivitas 98,387%, F1-score 42,958%, dan ROC-AUC 0,9880. Pada evaluasi LOSO, akurasi, sensitivitas, dan F1-score menurun menjadi 78,071%, 51,909%, dan 20,550%, yang menunjukkan adanya inter-subject variability. Uji Mann–Whitney menunjukkan perbedaan distribusi energi yang signifikan antara kelas seizure dan non-seizure (p = 2,1804 × 10⁻¹⁴⁰). Metode ini efektif untuk deteksi antarfile pada pasien yang sama, namun masih memerlukan validasi lintas pasien dan dataset eksternal untuk meningkatkan kemampuan generalisasi. Kata kunci: CHB-MIT, deteksi epilepsi, distribusi energi EEG, patient-wise LOSO, SVM.
Experimental Study of Contour Sources of Noise from Airland without Crew with DLE Gas Engine-30 and the Most Noise Counter Optimized by Using Method of Active Noise Control with a Variety of 45°, 90°,135° Alfisyahrin - -; Ikhwansyah Isranuri; Muhammad Rafiq Yanhar; Syukriyadin -; Deni Sigar
JET (Journal of Electrical Technology) Vol 11, No 2 (2026): : Edisi June
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i2.13645

Abstract

Unmanned Aerial Vehicle is a flying machine aircraft that can be controlled remotely to perform its function. As with other machines, noise problems are unavoidable. One of the components contributing to noise in aircraft is the engine. To reduce the noise level produced, it is necessary to study and research further the noise factor through acoustic science by conducting experimental and simulation tests using ANSYS software which was developed in Noise Control science. In this case, simulation has the advantage because it can be used to analyze more complex systems and conditions that can be adjusted and also have more accurate results. This study aims to make comparisons and determine the optimal sound reduction angle in the experimental method and noise simulation on the DLE GAS ENGINE-30 drone engine. Based on the results of experimental tests conducted on the DLE Gas Engine-30 engine, the optimal reduction value is obtained with an engine speed of 2000 RPM on the z- axis, a distance of 0.75 m and an angle of 45° with a reduction value of 4.1 dB and at 3000 RPM engine speed is on the x- axis, a distance of 1.25 m and an angle of 135° with a reduction value of 3.5 dB. While testing based on the results of simulation testing conducted on the DLE Gas Engine-30 engine, the optimal reduction value is obtained with an engine speed of 2000 RPM on the z+ axis, 1 m distance and 45° angle with a reduction value of 9.1 dB and at 3000 RPM engine speed found on the z+ axis, a distance of 0.75m and an angle of 135° with a reduction value of 12.8 dB.
Perancangan dan Analisis Sistem Transfer Daya Nirkabel Untuk Kendaraan Listrik Menggunakan Resonansi Kopling Magnetik Daniel Setiadikarunia; Enrico Leonardo Hardy
JET (Journal of Electrical Technology) Vol 11, No 2 (2026): : Edisi June
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i2.13814

Abstract

Perkembangan kendaraan listrik mendorong penelitian mengenai teknologi pengisian baterai secara nirkabel. Teknologi transfer daya nirkabel medan dekat dapat dikelompokkan menjadi transfer daya induktif dan transfer daya kapasitif. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pengisian baterai nirkabel berbasis resonansi kopling magnetik yang termasuk dalam kategori transfer daya induktif. Pada sisi pemancar, sumber listrik diubah menjadi arus bolak-balik berfrekuensi tinggi menggunakan inverter jembatan penuh. Arus tersebut dialirkan melalui kumparan pemancar untuk menghasilkan medan magnet yang berubah terhadap waktu. Kumparan penerima dirancang agar beresonansi pada frekuensi yang sama dengan kumparan pemancar sehingga dapat menangkap medan magnet dan menghasilkan tegangan induksi. Tegangan bolak-balik pada sisi penerima kemudian disearahkan dan distabilkan untuk digunakan dalam pengisian baterai. Jaringan kompensasi seri-paralel digunakan untuk meningkatkan efisiensi transfer daya antara kumparan pemancar dan kumparan penerima. Kedua kumparan dirancang berbentuk spiral datar melingkar dengan diameter 15 cm. Pengujian dilakukan menggunakan dua variasi kumparan, yaitu kumparan dengan 9 lilitan dan 16 lilitan, yang dirancang masing-masing memiliki frekuensi resonansi sebesar 69,43 kHz dan 42,59 kHz. Hasil pengujian menunjukkan bahwa efisiensi transfer daya maksimum dari sisi DC masukan inverter ke DC keluaran (beban) sebesar 21,81% diperoleh pada jarak antarkumparan 6 cm menggunakan kumparan 16 lilitan. Dibandingkan dengan kumparan 9 lilitan, kumparan 16 lilitan menghasilkan efisiensi transfer daya yang lebih tinggi serta memiliki toleransi yang lebih baik terhadap pertambahan jarak sampai 12 cm dan ketidaksejajaran antarkumparan maksimum 9 cm
Electrical Load Prediction Model for the SG 06 Feeder of ULP Meureudu Using a Gated Recurrent Unit Architecture Mahdi Syukri; Analdi Muttaqin; Khairun Saddami; Ramdhan Halid Siregar; Mohd Syaryadhi
JET (Journal of Electrical Technology) Vol 11, No 3 (2026): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i3.14301

Abstract

The increasing electricity demand and the growing complexity of distribution networks require PLN to employ accurate load forecasting to ensure system reliability. This challenge is evident in the SG 06 Feeder of ULP Meureudu, which exhibits highly fluctuating load patterns, significant disparities between average and peak loads, and a relatively low load factor. These characteristics reduce the effectiveness of conventional forecasting methods and highlight the need for a model capable of accurately capturing temporal patterns. This study develops a short-term load forecasting model based on a Gated Recurrent Unit (GRU) architecture, utilizing time-based features as the sole input variables. The research process includes historical data collection, preprocessing, time-series windowing, model training, and performance evaluation using RMSE, MAE, and MAPE. The results show that the GRU model is able to generate stable and accurate predictions for both daily and weekly load patterns of the SG 06 Feeder, outperforming the simple statistical and time-based reference models used for comparison. The proposed model provides a reliable solution to support operational decision-making and enhance the reliability of the 20 kV distribution network managed by ULP Meureudu.
An Embedded IoT System for Automated Parcel Sorting Based On Distribution Destination Identification And Real-Time Data Logging Evrita Lusiana Utari; Fina Durotul Yatimah; Yudianingsih - -; Ikhwan Mustiadi -; Mursid Sabdullah -
JET (Journal of Electrical Technology) Vol 11, No 3 (2026): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i3.14246

Abstract

The increasing volume of goods and growing demand for rapid distribution in modern logistics systems require automated sorting technologies that are fast, accurate, consistent, and capable of integrated operational data management. Conventional sorting processes that rely heavily on human operators are prone to destination identification errors, processing delays, and limited real-time monitoring capabilities. This study develops an automated parcel sorting system based on distribution destination identification integrated with real-time data logging to support the implementation of smart logistics. The proposed system integrates an Arduino UNO as the main controller, a GM66 barcode scanner for parcel identification, infrared sensors for object detection, a DC motor as the conveyor mechanism, a servo motor as the sorting actuator, and an ESP8266 module for cloud connectivity using Google Sheets. A classification algorithm was implemented to map destination codes into three distribution regions, namely East Java (JATIM), Central Java (JATENG), and the Special Region of Yogyakarta (DIY), and subsequently control the sorting actuator according to the identified destination. In addition to automated sorting, the system simultaneously records operational data on a cloud platform, enabling real-time monitoring and traceability of sorting activities. Experimental testing involving 30 parcel samples achieved a barcode reading accuracy of 93.33%, while the sorting process achieved a 100% success rate for successfully identified parcels. The average barcode identification time was 1 second, with an actuator response delay of 0.5 seconds, resulting in an overall system response time of 1.5 seconds. These results demonstrate that the integration of embedded systems, barcode identification, automated sorting, and Internet of Things (IoT) technology can provide a responsive sorting mechanism while enabling real-time operational data acquisition. The modular architecture provides potential for scalability to additional distribution destinations, although such scalability has not yet been experimentally validated.
Analysis of Starting Current and Power Consumption of a Three-Phase Induction Motor Driving an Additional Air Compressor Using ETAP Muhammad Muhammad; Eriska Sastia; Taufiq Taufiq; Arnawan Hasibuan; Misbahul Jannah; Ummi Habibah
JET (Journal of Electrical Technology) Vol 11, No 3 (2026): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i3.14189

Abstract

Three-phase induction motors are extensively employed in industrial applications due to their high efficiency, robust construction, and reliable operation. Nevertheless, the Direct-On-Line (DOL) starting method produces a significant inrush current that may lead to temporary voltage dips, increased power demand, and reduced power system stability. Therefore, motor starting analysis is essential to ensure that industrial electrical systems operate within acceptable voltage and current limits. This study aims to analyze the starting current characteristics and electrical power consumption of the induction motor driving the Additional Air Compressor at PT Pupuk Iskandar Muda using Electrical Transient Analyzer Program (ETAP) version 19. The research methodology includes field data collection, electrical system modeling, load flow analysis, motor starting simulation, and validation using actual operational data. The simulation results indicate that the motor experiences a maximum starting current of approximately 180–185 A, equivalent to nearly six times the rated operating current of 29.94 A. During motor acceleration, the bus voltage temporarily decreases to 13.61 kV before recovering to the nominal operating condition of 13.80 kV. The calculated active power is 638.30 kW, while comparison with field measurements shows deviations below 5%, confirming the accuracy of the developed ETAP model. The results demonstrate that ETAP is an effective tool for evaluating induction motor starting characteristics and electrical power consumption in industrial electrical power systems.
Internet of Things Implementation for Monitoring Parameter In 3D Printing Manufacturing A Systematic Literature Review Khakam Ma'ruf; Herianto Herianto; Widyastuti Widyastuti
JET (Journal of Electrical Technology) Vol 11, No 3 (2026): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i3.14235

Abstract

The rapid advancement of Industry 4.0 and the emergence of Industry 5.0 have accelerated the adoption of Internet of Things (IoT) technologies to improve process monitoring, operational efficiency, and product quality in 3D printing manufacturing. Therefore, this study aimed to systematically synthesize the existing empirical evidence concerning IoT implementation for parameter monitoring in additive manufacturing while identifying research trends, monitored parameters, enabling technologies, implementation benefits, current challenges, and future research directions. This study employed a Systematic Literature Review (SLR) following the PRISMA 2020 guidelines to ensure methodological rigor, transparency, and reproducibility throughout the review process. Literature searches were conducted in Scopus, Web of Science, ScienceDirect, SpringerLink, and Google Scholar, resulting in 2,184 publications, from which nineteen empirical studies published between January 2021 and June 2026 satisfied all eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that IoT-enabled monitoring systems predominantly integrate smart sensors, embedded controllers, wireless communication protocols, cloud computing platforms, and real-time monitoring dashboards to continuously supervise critical manufacturing parameters, including nozzle temperature, build plate temperature, humidity, vibration, filament condition, energy consumption, and machine status. Across the reviewed studies, IoT implementation consistently improved process stability, printing accuracy, predictive maintenance, manufacturing efficiency, energy optimization, product quality, and production traceability while reducing material waste and machine downtime. The review also reveals an increasing convergence between IoT and emerging technologies such as Artificial Intelligence, Machine Learning, Edge Computing, and Digital Twin, although challenges related to interoperability, cybersecurity, communication latency, scalability, sensor calibration, and industrial-scale implementation remain significant. In conclusion, IoT-enabled parameter monitoring has become a strategic technological foundation for intelligent, autonomous, and sustainable 3D printing manufacturing, providing valuable guidance for future smart manufacturing research and industrial implementation.
Performance Analysis of ZigBee IEEE 802.15.4 in Star Topology Using Network Simulator-3 Anhar Anhar; Suwitno Suwitno; Rangga Byian Tri Putra; Adinda Juita; Ahmad fauzan
JET (Journal of Electrical Technology) Vol 11, No 3 (2026): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i3.13918

Abstract

This study presents a comprehensive performance analysis of ZigBee IEEE 802.15.4 operating in a star topology, simulated using Network Simulator-3 (NS-3 v3.46.1). Five network configurations—comprising 10, 20, 30, 40, and 50 nodes—were evaluated across four Quality-of-Service (QoS) metrics: packet loss, end-to-end delay, jitter, packet delivery ratio (PDR), and throughput. A total of 150 per-node observations were collected and subjected to descriptive statistics, one-way Analysis of Variance (ANOVA), Tukey HSD post-hoc tests, Pearson correlation analysis, and linear regression modeling. ANOVA results confirmed highly significant differences across all node configurations (p < 0.001) for every metric. Pearson correlation revealed strong positive associations between node count and packet loss (r = 0.852) and jitter (r = 0.666), and a strong negative association with PDR (r = −0.852). Linear regression models demonstrated that each additional node increases packet loss by approximately 1.01% and end-to-end delay by 0.30 s. The results indicate that ZigBee in star topology performs adequately for small IoT deployments (≤10 nodes) but degrades significantly beyond 20 nodes due to MAC-layer contention and CSMA/CA backoff collisions. These findings provide empirical benchmarks for ZigBee network designers and IoT system engineers.

Page 49 of 50 | Total Record : 498

 46   47   48   49   50 

Filter by Year

2016 2026


Reset
Filter By Issues
All Issue Vol 11, No 3 (2026): Edisi Oktober Vol 11, No 2 (2026): : Edisi June Vol 11, No 1 (2026): EDISI FEBRUARI Vol 10, No 3 (2025): Edisi Oktober Vol 10, No 2 (2025): Edisi Juni Vol 10, No 1 (2025): Edisi Februari Vol 9, No 3 (2024): Edisi Oktober Vol 9, No 2 (2024): Edisi Juni Vol 9, No 1 (2024): Edisi Februari Vol 8, No 3 (2023): Edisi Oktober Vol 8, No 2 (2023): Edisi Juni Vol 8, No 1 (2023): Edisi Februari Vol 7, No 3 (2022): JET Edisi Oktober Vol 7, No 2 (2022): JET Edisi Juni Vol 7, No 1 (2022): JET Edisi Februari Vol 6, No 3 (2021): JET Edisi Oktober Vol 6, No 2 (2021): JET Edisi Juni Vol 6, No 1 (2021): JET Edisi Februari Vol 5, No 3 (2020): JET Edisi Oktober Vol 5, No 2 (2020): JET Edisi Juni Vol 5, No 1 (2020): JET Edisi Februari Vol 4, No 3 (2019): Edisi Oktober Vol 4, No 2 (2019): JET Edisi Juni Vol 4, No 1 (2019): Edisi Februari Vol 3, No 3 (2018): JET Edisi Oktober Vol 3, No 2 (2018): JET Edisi Juni Vol 3, No 1 (2018): JET Edisi Februari Vol 2, No 3 (2017): JET Edisi Oktober Vol 1, No 2 (2016): JET Edisi Juni Vol 1, No 1 (2016): JET Edisi Februari More Issue