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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 484 Documents
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Penerapan Power Over Ethernet Injector Pada Perangkat Jaringan Komputer Nirkabel Jamilah Husna; Zulfadli Pelawi; Alfi Franata; Fadly Yusnil H.
JET (Journal of Electrical Technology) Vol 9, No 2 (2024): Edisi Juni
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v9i2.9770

Abstract

Penelitian ini bertujuan untuk mengeksplorasi dan menerapkan teknologi Power over Ethernet (PoE) Injektor pada perangkat jaringan komputer nirkabel (Wireless Local Area Network Access Point). PoE Injektor adalah perangkat yang memungkinkan pengiriman daya listrik melalui kabel jaringan Ethernet yang sama dengan transmisi data, yang dapat meningkatkan efisiensi dan fleksibilitas dalam pemasangan dan pengelolaan perangkat jaringan. Dalam penelitian ini, konsep dasar PoE Injektor dijelaskan secara rinci, termasuk prinsip kerja dan manfaatnya dalam konteks penerapan pada perangkat jaringan komputer nirkabel. Selain itu, penelitian ini juga mencakup pengujian dan implementasi PoE Injektor pada Access Point dalam lingkungan jaringan nyata, dengan tujuan untuk mengevaluasi kinerja dan efektivitasnya. Hasil penelitian menunjukkan bahwa penerapan PoE Injektor pada perangkat jaringan komputer nirkabel dapat memberikan manfaat yang signifikan dalam hal efisiensi, fleksibilitas, dan pengelolaan daya. Dengan menggunakan PoE Injektor, pengguna dapat mengurangi biaya instalasi dan pemeliharaan serta meningkatkan kinerja dan keandalan jaringan komputer nirkabel.
Penggunaan Sensor Vibration Sebagai Antisipasi Gempa Bumi Hermansyah Alam; Budhi Santri Kusuma; M. Agus Prayogi
JET (Journal of Electrical Technology) Vol 5, No 2 (2020): JET Edisi Juni
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v5i2.2879

Abstract

Gempa bumi adalah adalah getaran atau getar getar yang terjadi di permukaan bumi akibat pelepasan energi dari dalam secara tiba-tiba yang menciptakan gelombang seismik. Gempa Bumi biasa diseban kanoleh pergerakan kerak Bumi (lempeng Bumi).Frekuensi suatu wilayah, mengacu pada jenis dan ukuran gempa Bumi yang di alami selama periode waktu. Seiring dengan berkembangnya teknologi sistem pendeteksi gempa dini memberikan solusi untuk meminimalisir dampak dari peristiwa gempa bumi.Musibah benaca alam yang sering terjadi di negera Indonesia, salah satu bencana alam yang sering terjadi adalah gempa bumi. Dan banyak masyarakat yang tidak mengetahui kapan bencana alam gempa bumi akan datang. Meraka hanya mengira-ngira akan datang, karena keterbatasan manusia dalam memprediksi bencana alam. Ketika gempa bumi terjadi masyarakat hanya bisa berlarian menyelamatkan diri masing-masing tanpa peringatan bencana apapun. Maka dibuatlah alat deteksi gempa bumi dengan arduino uno yang merupakan alat yang dapat mendeteksi akan getaran gempa bumi. Dengan alat ini menggunakan sensor vibration sensor yang dapat mendeteksi getaran, dan dengan 3 output yaitu led, buzzer dan relay.
Mechanical Characterization and Thermal Insulation Potential of Hybrid Composites for Energy-Efficient Roofing Applications Arfis Amiruddin; Partaonan Harahap, ST.,M.T UMSU
JET (Journal of Electrical Technology) Vol 11, No 1 (2026): EDISI FEBRUARI
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i1.13366

Abstract

This study aims to investigate the mechanical properties and thermal insulation potential of hybrid composites reinforced with palm fiber (ijuk) and durian peel fiber for energy-efficient roofing applications. From an electrical engineering perspective, roofing materials play a crucial role in building energy systems, as they influence heat transfer and the operational load of Heating, Ventilation, and Air Conditioning (HVAC) systems.The composites were fabricated using polyester resin with composition variations of 60/20/20, 70/15/15, 80/10/10, and 90/5/5 through the hand lay-up method. An alkali treatment using 1% NaOH was applied to enhance interfacial bonding between the fibers and the matrix. Mechanical testing was conducted using a Universal Testing Machine (UTM) in accordance with ASTM D695 standards. The results indicate that the 60/20/20 composition exhibited the highest compressive strength of 9.444 MPa, along with the most consistent overall performance. Thermal analysis revealed that the developed composites possess lower thermal conductivity compared to conventional roofing materials, enabling a reduction in heat transfer of up to 28%. In the context of building energy systems, this reduction contributes to decreased cooling loads and lowers HVAC electricity consumption by approximately 669.6 kWh per year. These findings suggest that natural fiber-based hybrid composites have strong potential as multifunctional roofing materials that integrate mechanical strength with energy efficiency in electrically driven building systems.
Efektivitas Penggunaan Filter Pasif LC dalam Mengurangi Harmonik Arus Azmi Rizki Lubis
JET (Journal of Electrical Technology) Vol 2, No 3 (2017): JET Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v2i3.231

Abstract

Harmonik yang dihasilkan oleh beban–beban non linier akan menyebabkan arus dalam bentuk pulsa–pulsa pendek. Dari data pengukuran yang dilakukan, terdapat harmonik pada Individual Harmonisa Distortion (IHDi) arus orde – 5 pada transformator arus yang tidak sesuai standar IEEE 519 – 1992. Upaya yang dilakukan dalam mengatasi permasalahan tersebut adalah dengan menggunakan filter pasif LC yang disimulasikan menggunakan MATLAB/Simulink. Hasil simulasi menunjukkan bahwa Individual Harmonisa Distortion (IHDi) arus orde – 5 pada transformator arus berkurang sesuai dengan standar IEEE 519 – 1992. 
Control Systems and Adaptive Neurostimulation in Deep Brain Stimulation (DBS) for Treatment-Resistant Obsessive-Compulsive Disorder (TR-OCD): Architecture, Brain-Sensing, and Closed-Loop Strategies Hedya Nadhrati Surura; Rina Hastuti Lubis; Nashrul Fazli Mohd Nasir; Joandre Fauza
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.v11i2.13736

Abstract

Deep Brain Stimulation (DBS) is an implantable neuromodulation system that integrates electronic components, intracranial electrodes, and biological neural networks into a bioelectronic control system designed to therapeutically modulate brain activity. The development of DBS technology for treatment-resistant obsessive-compulsive disorder (TR-OCD) has evolved from a purely anatomical target-based stimulation approach toward the integration of system architecture, control strategies, and biomarker-driven adaptive neurostimulation. This narrative review examines the architecture of DBS systems, open-loop and closed-loop control strategies, brain-sensing technologies, neural biomarkers, and recent advances in adaptive neurostimulation for TR-OCD. The review was conducted through an appraisal of contemporary literature addressing the intersection of neuroscience, electrical engineering, and biomedical engineering in the implementation of DBS. The findings indicate that a DBS system comprises an implantable pulse generator (IPG), stimulation electrodes, signal transmission components, and target neural networks that collectively form a neuromodulation control system. Conventional DBS remains predominantly based on an open-loop paradigm, in which continuous stimulation is delivered according to predefined parameters without real-time neurophysiological feedback. In contrast, advances in brain-sensing technologies have enabled the recording of neural biomarkers, particularly local field potentials (LFPs), which serve as the foundation for the development of closed-loop DBS systems. These systems allow automatic adjustment of stimulation parameters through feedback-driven mechanisms, thereby offering the potential to enhance therapeutic efficacy, improve device energy efficiency, and facilitate personalized treatment. The integration of neural biomarkers, adaptive control algorithms, and connectomic DBS approaches is expected to establish the foundation for next-generation intelligent neuromodulation systems and support the implementation of precision psychiatry in the management of TR-OCD.
Optimization of Capacity and Performance Analysis of Rooftop Solar Power Plants Using MATLAB Based on Load Profiles and Solar Irradiance at Politeknik Negeri Medan Cholis Cholish; Abdullah Abdullah; Suprianto Suprianto; Surya Hardi; Irfan Nofri; Abdul Azis Hutasuhut; Zarina Binti Ismail
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.v11i2.13817

Abstract

The demand for electrical energy in the education sector continues to increase along with the growing use of electrical equipment, laboratories, and academic activities. Politeknik Negeri Medan, as a vocational education institution, has relatively high electrical energy consumption; therefore, a more efficient and environmentally friendly alternative energy source is required. This study aims to analyze and optimize a rooftop Solar Power Plant (SPP) system using MATLAB based on building load profiles and solar irradiance intensity in Medan City. The research method was carried out through the collection of building electrical load profile data, solar irradiance data, and rooftop area measurements. Simulation and optimization of the rooftop photovoltaic system were conducted using MATLAB to analyze system capacity, number of solar panels, energy performance, system efficiency, solar panel distribution, and potential electrical energy savings. The results showed that the total electrical energy demand of the Politeknik Negeri Medan building was 5,410 kWh/day with a total installed power of 1,352.57 kW. Based on the simulation results, the optimum photovoltaic system capacity was 1,516.25 kWp with 2,757 solar panels of 550 Wp capacity each. The photovoltaic system was able to generate relatively stable electrical energy throughout the year, with solar irradiance having a significant influence on the system output energy. The analysis also showed that the effective rooftop area of 11,601.61 m² was sufficient for solar panel installation requiring an area of 8,491 m². In addition, the photovoltaic system has the potential to reduce electricity costs by approximately IDR 2.81 billion per year. This study demonstrates that the implementation of a rooftop photovoltaic system using MATLAB at Politeknik Negeri Medan is feasible from technical, economic, and environmental perspectives. The use of MATLAB improves the quality of photovoltaic system analysis through detailed and systematic energy performance simulations and solar panel configuration optimization
Optimasi Parameter Jaringan Saraf Tiruan Menggunakan Algoritma Genetika dengan Partially Mapped Crossover (PMX): Analisis Kinerja Berbasis Simulasi Khairuddin Nasution; Muhammad Zulfansyuri Siambaton
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.v11i2.13384

Abstract

Kinerja Jaringan Saraf Tiruan (JST) sangat dipengaruhi oleh pemilihan hiperparameter yang tepat, termasuk laju pembelajaran, jumlah neuron tersembunyi, dan momentum. Penelitian ini memperkenalkan strategi optimisasi yang disempurnakan berdasarkan Algoritma Genetika (AG) yang menggabungkan operator Partially Mapped Crossover (PMX) untuk menyesuaikan parameter JST secara efektif. Pendekatan PMX-AG yang diusulkan dievaluasi menggunakan dataset klasifikasi Iris melalui eksperimen simulasi dan diuji bandingkan dengan metode crossover AG konvensional, yaitu crossover satu titik dan seragam. Kinerja dievaluasi menggunakan mean squared error (MSE), akurasi klasifikasi, dan kecepatan konvergensi. Temuan menunjukkan bahwa PMX-AG mencapai nilai MSE yang lebih rendah (0,0187) dan akurasi yang lebih tinggi (97,33%), sekaligus menunjukkan konvergensi yang lebih cepat dan ketahanan yang lebih baik. Hasil ini menunjukkan bahwa PMX-AG merupakan teknik yang menjanjikan untuk mengoptimalkan hiperparameter JST dalam aplikasi kecerdasan komputasional.
Rancang Bangun Pengendali Tegangan Pada Prototipe PLTMH Menggunakan Metode Kontrol PID (Proportional Integral Derivative) pada Arduino Raja Harahap; Dicky Lopama Tarigan; Fahmi Rinaldi
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.v11i2.13298

Abstract

Peningkatan kebutuhan energi listrik mendorong pengembanga nsumber energi terbarukan seperti Pembangkit Listrik Tenaga Mikrohidro (PLTMH). Namun, tegangan keluaran dari generator mikrohidro sering tidak stabil akibat perubahan debit air dan beban. Penelitian ini bertujuan untuk merancang dan membangun sistem pengendali tegangan pada prototipe PLTMH menggunakan metode kontrol PID berbasis Arduino Mega 2560 dengan tuning Ziegler–Nichols. Sistem ini mengatur bukaan Motor Operated Valve (MOV) melalui motor servo untuk mengendalikan debit air yang memutar turbin generator DC. Hasil pengujian menunjukkan bahwa sistem mampu menjaga kestabilan tegangan pada nilai setpoint 9Vdengan toleransi ±0,1V.Rata- rata waktu respon sistem untuk mencapai kestabilan berada di bawah 1,5 detik untuk berbagai kondisi beban (tanpa beban, 1 W, 2 W, dan 3 W). Dari penelitian ini disimpulkan bahwa penerapan kontrol PID efektif dalam menjaga kestabilan tegangan keluaran PLTMH dan berpotensi diterapkan pada sistem pembangkit skala kecil lainnya.
Analisis Eksperimental Pengaruh Plat Konduktor terhadap Kinerja Thermoelectric Generator Berbasis Limbah Panas Raihan Putri; Dimas Syahputra; Selamat Meliala; Badriana Badriana; Rosdiana Rosdiana
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.v11i2.13555

Abstract

Pemanfaatan energi alternatif menjadi salah satu upaya penting dalam meningkatkan efisiensi energi dan mengurangi ketergantungan terhadap sumber energi konvensional. Salah satu potensi energi yang belum dimanfaatkan secara optimal adalah panas buangan dari peralatan, mesin, maupun proses industri. Penelitian ini membahas pemanfaatan panas buangan sebagai sumber energi listrik melalui sistem Thermoelectric Generator (TEG). TEG bekerja berdasarkan perbedaan temperatur antara sisi panas dan sisi dingin modul yang menghasilkan tegangan listrik melalui efek Seebeck. Fokus penelitian ini adalah menganalisis pengaruh jenis pelat konduktor terhadap kinerja TEG. Material pelat yang diuji meliputi tembaga, aluminium, dan stainless steel. Pengujian dilakukan menggunakan dua modul TEC1-12706 sebagai sumber panas dan satu modul TEG SP1848 sebagai penghasil listrik. Parameter yang diamati meliputi perbedaan suhu, tegangan, arus, daya keluaran, dan efisiensi konversi energi. Hasil pengujian menunjukkan bahwa tembaga menghasilkan ΔT tertinggi sebesar 63,8 °C, namun efisiensinya paling rendah. Aluminium menunjukkan kinerja yang lebih stabil dengan ΔT sebesar 62,4 °C dan arus tertinggi 2,0 µA. Stainless steel menghasilkan ΔT sebesar 62,2 °C, tetapi memiliki efisiensi konversi tertinggi serta respons termal paling cepat. Hasil ini menunjukkan bahwa kinerja TEG tidak hanya ditentukan oleh besar ΔT, tetapi juga dipengaruhi oleh kestabilan distribusi panas dan karakteristik termal material pelat konduktor
Application Of The Metaheuristic Algorithm To Optimize The K Value In K-NN In Grouping Factors Causing Stunting Antoni Antoni; Mbera Mehuli; Satria Yudha Prayogi
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.v11i2.13792

Abstract

Stunting is a health problem that has a long-term impact on the quality of life of individuals and the development of a nation. Accurately identifying the factors that cause stunting is an important step in developing effective mitigation strategies. K-Nearest Neighbor (K-NN) is a machine learning algorithm that is widely used in data classification and grouping, but its performance is greatly influenced by the selection of optimal K value parameters. This research proposes the application of metaheuristic algorithms, such as genetic algorithms (GA) and Particle Swarm Optimization (PSO), to optimize the K value in K-NN in grouping factors that cause stunting. This method integrates the power of exploration and exploitation of metaheuristic algorithms to find K parameters that produce optimal accuracy. Based on the results of applying the metaheuristic algorithm, it was found that without optimization, K-NN only produces an accuracy of 63%, which shows the importance of choosing the right K value. The use of GA in K-NN optimization provides a substantial increase in accuracy, reaching 73%, thanks to its ability to explore the solution space effectively. Meanwhile, PSO also increases accuracy by up to 74%. It is hoped that the findings of this research will be a significant contribution in the development of a more accurate grouping model for analyzing factors causing stunting, so that it can support data-based decision making in an effort to address the stunting problem holistically.

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