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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) ELKHA : Jurnal Teknik Elektro CESS (Journal of Computer Engineering, System and Science) JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Pendidikan dan Konseling Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Jurnal Darma Agung Journal of Electrical Engineering and Computer (JEECOM) Journal of Islamic economy and Community Engagement Mejuajua Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Prosiding Seminar Nasional Teknik UISU (SEMNASTEK) Journal of Electronics, Telecommunication, Electrical, and Physics Science JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Journal of Telecommunication and Electrical Scientific
Yoga Tri Nugraha
Universitas Al-Azhar Medan
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Efficiency improvement of 50 Hz wireless photovoltaic power transfer using magnetic relay Irwanto, Muhammad; Baharudin, Nor Hanisah; Nugraha, Yoga Tri; Nisja, Indra
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp1322-1331

Abstract

A photovoltaic direct current (DC) power can be changed into AC power using an inverter. The inverter must be connected to an alternating current (AC) load using wire, which has drawbacks in terms of air space, wire cost, and an unattractive view of the sky. It is appropriate to suggest a wireless power transfer (WPT) system concept to replace the use of wires in the transfer of electrical power. The WPT system has been conducted by the previous researchers, but it is still in the frequency system of hundred, kilo, mega or gigahertz, thus it can only be applied on DC load after rectifying it, but cannot be applied for a normal AC load, also its distance is relative near. The modelling of wireless photovoltaic power transfer (WPVPT) with a 50 Hz system frequency is presented in this work. The four modelling components that create the WPVPT system are models of the PV module, the transmitter circuit, the magnetic relay, and the receiver circuit. The findings indicate that the efficiency of the proposed WPVPT system is 71.27% without a magnetic relay and 72.82% with a magnetic relay. It suggests that the use of magnetic relay can improve the WPVPT system's efficiency.
IMPLEMENTATION OF SMART IRRIGATION SYSTEM ON CARROT PLANTATION USING INTERNET OF THINGS Perangin-Angin, Despaleri; -, Yoga Tri Nugraha; -, Evta Indra; Turnip, Mardi; Situmorang, Andreas; Sitompul, Daniel Ryan Hamonangan; -, Ruben
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2347

Abstract

Agriculture is one of the main sectors in Karo Regency, North Sumatra. One of the commodities produced by farmers in Karo Regency is carrot. The inability of farmers to control soil moisture may cause crop damage to a lack of productivity. This research aims to create a monitoring & control system that is integrated with the website to make it easier for farmers to prevent problems that occur. The method used in the research is the design, installation, monitoring, and deactivation. The results obtained from this research are that farmers can now monitor the field conditions in real-time using a web-based monitoring & control system.
The Implementasi ANFIS Dalam Prakiraan Perkembangan Energi Baru dan Terbarukan di Indonesia Pada Tahun 2030 Sholeha, Dewi; -, Suwarno; Zambak, Muhammad Fitra; Nugraha, Yoga Tri
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2503

Abstract

Bahan bakar energi yang penting untuk pembangkit listrik adalah memanfaatkan produk minyak bumi seperti minyak dan batu bara. Penggunaan bahan bakar dasar semakin meningkat setiap tahun dan simpanan bahan bakar utama semakin habis/berkurang. Dalam menggerakkan suatu pembangkit diperlukan energi alternatif yang sumbernya tidak akan habis dan dapat menurunkan pemanfaatan turunan minyak bumi. Sumber ini adalah energi baru dan terbarukan. Untuk menjamin perkembangan energi baru dan terbarukan, penting untuk memprakirakan perkembangan energi baru dan terbarukan di Indonesia pada tahun 2030 dengan menggunakan ANFIS. Hasil yang diperoleh dalam memprakirakan perkembangan energi baru dan terbarukan di Indonesia pada tahun 2030 adalah sebesar 3.369,79 MW.
SHORT-TERM FORECAST FOR THE GROWTH OF INDONESIA'S NEW RENEWABLE ENERGY USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM Ginting, Riski Titian; Tri Nugraha, Yoga; Perangin-Angin, Despaleri; Gultom, Togar Timoteus; Nainggolan, Winner Parluhutan; Sitanggang, Delima
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 2 (2023): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i2.3477

Abstract

Electric power plants always use fossil fuels such as coal, oil, etc. However, the fossil fuel supply in Indonesia is decreasing from year to year. This causes power plants to be powered by using fuels that will not run out, such as solar Energy, water, wind, and others. Solar Energy, water, wind, and others are Alternative Energy or can also be called New and Renewable Energy. To guarantee a power plant powered by alternative Energy, it must be analyzed regarding the growth of new and renewable Energy. The method used in analyzing the development of new and renewable Energy is the Adaptive Neuro Fuzzy Inference System Method. MW or 0.599%. This result has increased yearly in Indonesia's new and renewable energy growth.
Application of the adaptive neuro-fuzzy inference system for prediction of the electrical energy production in Jakarta Nugraha, Yoga Tri; Cahyadi, Catra Indra; Rida, Rizkha; Ningsih, Margie Subahagia; Sholeha, Dewi; Roza, Indra
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i3.pp1790-1798

Abstract

Jakarta, as a rapidly growing urban area, faces challenges in balancing energy demand with supply while addressing environmental concerns associated with traditional energy sources. Electrical energy production prediction in urban environments like Jakarta is crucial for effective energy management, ensuring stable supply, and promoting sustainable development. The prediction of electrical energy production in Jakarta is critical for ensuring stable and sustainable energy supply. This research proposed the application of the adaptive neuro-fuzzy inference system (ANFIS) as a predictive tool specifically tailored for Jakarta's energy production prediction context. The research methodology used in this study is the ANFIS. Five levels make up the architecture of the ANFIS model: output, normalization, defuzzification, rule evaluation, and fuzzification. The fuzzification layer converts input variables into linguistic terms using membership functions, while the rule evaluation layer calculates the activation strength of each rule based on the input values. The predicted results of Jakarta electrical energy production from 2023 to 2028 are 65,288 GWh and there is an annual increase of 5.25%. The error contained in ANFIS is with a root mean square error (RMSE) value of 0.0001058% and a mean absolute percentage error (MAPE) value of 0.00875%.
Analysis of Characteristics of Three Phase Transformer Using MATLAB Ramadhan, Fakhri; Novalianda, Sari; Sihombing, Panangian Mahadi; Nugraha, Yoga Tri; Irwanto, Muhammad; Md Arshad, Syahrun Nizam; Othman, Mohd Azlishah
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 12 No 1 (2025): Jurnal Ecotipe, April 2025
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v12i1.4534

Abstract

Three-phase transformers are integral components of modern electrical power systems, serving as the backbone of energy transmission and distribution networks. Their primary purpose is to step up or step-down voltage levels efficiently, enabling the transfer of electrical power over long distances with minimal losses. Due to their widespread use in industrial, commercial, and residential applications, understanding the operational characteristics of three-phase transformers is crucial for improving energy efficiency, ensuring reliability, and optimizing performance. The analysis of transformer characteristics, such as efficiency, voltage regulation, power losses, and behavior under varying load conditions. This research aims to analyze the characteristics of three-phase transformers using MATLAB. The results of the analysis obtained in the study of the characteristics of 3-phase transformers produce an active power (P) of 6183.42 W, a reactive power (Q) of 3832.14 VAR, an apparent power (S) of 7274.61 VA and a transformer efficiency of 97.75% with a time of 0.02 s and produces losses in copper of 81.65 W which forms electromagnetic field radiation where the radiation pattern of the electric field (E field) and the magnetic field (H field) is in the form of a polar graph.
Digitalisasi aplikasi berbasis web dan e-commerce untuk peningkatan pendapatan kelompok UMKM Liniarti, Sri; Nasution, Rizky Surya Andhayani; Nugraha, Yoga Tri
Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Vol. 6 No. 4 (2025)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jp2m.v6i4.24167

Abstract

UMKM adalah salah satu bentuk usaha yang dapat dikelola langsung oleh masyarakat tanpa prosedur perizinan yang rumit. Namun, banyak pelaku UMKM yang menghadapi kesulitan dalam pengelolaan usaha, dengan pendapatan yang relatif rendah. Pengabdian ini bertujuan untuk meningkatkan pengetahuan dan keterampilan pelaku UMKM, khususnya kelompok UMKM Laundry, dalam mengelola usaha mereka. Kegiatan ini dilaksanakan di Jalan Bromo No 51, Kecamatan Medan Denai, dan berlangsung selama 8 bulan, dari Mei hingga Desember 2025. Tahapan kegiatan meliputi desk study, sosialisasi dan pelatihan mengenai manajemen keuangan, pembukuan akuntansi sederhana, branding usaha, serta penerapan teknologi digital berupa aplikasi kasir berbasis web dan promosi melalui media sosial. Pendampingan dilakukan untuk memastikan penerapan yang berkelanjutan. Hasil dari pengabdian ini menunjukkan peningkatan yang signifikan dalam keterampilan mitra, termasuk penggunaan aplikasi kasir berbasis web, penerapan manajemen keuangan yang lebih baik, serta keberhasilan dalam branding dan pemasaran digital. Selain itu, mitra kini mampu mengelola administrasi keuangan dengan tertib, yang berdampak pada peningkatan efektivitas operasional usaha mereka.
Analysis of the Effect of Temperature on Performance Efficiency in Three Phase Transformers Nugraha, Yoga Tri; Pangestu, Adam; Wardani, Sumita; Irwanto, Muhammad; Pasaribu, Faisal Irsan; Evalina, Noorly
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.92879

Abstract

Transformers are essential components in electrical power distribution systems, and their performance is significantly influenced by operating temperature. High temperatures can lead to increased power losses, particularly copper losses, which reduce transformer efficiency. This research examines the impact of temperature on the efficiency of three-phase transformers, focusing on copper losses and the role of cooling systems in maintaining optimal performance. Using a combination of Thermovision infrared imaging and MATLAB simulations, this research introduces a novel integrated approach to correlate real-time thermal data with theoretical modeling of transformer losses. Unlike previous research that relies solely on either simulation or temperature sensors, the use of Thermovision provides spatially resolved, non-invasive temperature measurements that validate and enhance the accuracy of MATLAB-based thermal-electrical models. The results reveal that the operational temperature of 52.9 °C, as detected by Thermovision, is within safe limits; however, higher temperatures significantly decrease efficiency. The efficiency drops from 92.8% at 25 °C to 90.4% at 120 °C. The exponential trend in copper losses with temperature rise underscores the critical role of effective cooling and temperature monitoring systems. While the magnetic flux remains constant, maintaining lower operating temperatures is essential to prevent premature damage and extend transformer lifespan. Thermovision results were used to validate the simulations. Despite small discrepancies, the consistent pattern provides confidence that the simulation model is sufficiently accurate for performance prediction.
Analisis Kinerja Antena DVOR di Bandara Kualanamu Ridwan, Achmad; Arif, Ahmad; Nugraha, Yoga Tri; Othman, M.A.
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 1 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i1.8534

Abstract

Sistem navigasi udara sangat penting bagi pergerakan pesawat yang aman dan efisien, serta memberikan panduan penting selama berbagai fase penerbangan. Doppler VHF Omnidirect Range (DVOR) adalah perangkat navigasi yang diperlukan dan memiliki kemungkinan tak terbatas untuk mengarahkan pesawat ke bandara. Efek Doppler adalah pendekatan penelitian yang digunakan dalam penelitian ini. Proses pengiriman informasi frekuensi yang dipancarkan DVOR ke pesawat menghasilkan frekuensi yang berbeda-beda akibat adanya efek Doppler yang disebabkan oleh sudut datang pesawat sehingga gelombang yang dihasilkan tidak berbentuk sinusoidal yang terlalu sempurna, namun frekuensi DVOR akan menghasilkan 112299595 Hz, dengan membentuk sistem OBS pada pesawat yaitu 187 derajat yang artinya menunjukkan posisi suatu bandara.
Modelling Demand for Energy Sources as Alternative Energy in the Province of North Sumatra Nugraha, Yoga Tri; Irwanto, Muhammad
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 2 No. 2 (2022): September 2022
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v2i2.9278

Abstract

Energy is needed to support daily human activities. Energy usage for the necessities of life is always increasing every year. So far, the energy used comes from fossils, namely coal and oil. Every year fossil energy reserves are decreasing. To overcome these problems, a potential alternative energy source that can replace fossil energy is needed, namely renewable energy. Potential of renewable energy is one of the alternative sources of energy supply and security in the Province of North Sumatra. To ensure the resilience of renewable energy to run sustainably. It is necessary to analyze the potential of renewable energy in North Sumatra by using the Long-range Energy Alternatives Planning System. The results obtained show that North Sumatra has a great potential of energy sources as alternative energy, namely hydro energy and wind energy. It is forecasted that for the year 2027, hydro energy has a potential growth of 3,7 million megawatt-hours and wind energy has a potential growth of 2,2 million megawatt-hours.
Co-Authors -, Evta Indra -, Ruben Abdul Azis H Achmad Ridwan, Achmad Adam Pangestu Adam, Muhammad Ahmad Arif Arif Milando Setiawan Arnawan Hasibuan Baharuddin Ismail Baharudin, Nor Hanisah Catra Indra Cahyadi Dachi, Rinistin Delima Sitanggang, Delima Denny Hasminta Sembiring Maha Dina Maizana Eddy Warman Ega Trisna Rahayu Evalina, Noorly Evalina, Noorly FADHILLAH AZMI Franz Beckhen Bauer Simanjuntak Ginting, Riski Titian Ginting, Riski Titian Gultom, Immanuel Roni Habib Satria Hermansyah Hutasuhut, Syafrida Hanum Iman Faisal Dharmawan Indra Roza Indri Dayana Irwanto, Muhammad Jusoh, Muzzammil Karo-Karo, Muhamad Azlin Kelvin Ghabriel Kelvin Ghabriel Laia, Frengki Ditus Lidya Rahmani Laia M. Soleh Nasution Manalu, Harry Hendra Mardi Turnip, Mardi Md Arshad, Syahrun Nizam Moranain Mungkin Muchsin Harahap Muhammad Fadlan Siregar Muhammad Fitra Zambak Muhammad Irwanto Muhjam Kamza Nainggolan, Winner Parluhutan Nasution, Farsya Alfitri Nestovani, Eldora Christabel Ni'Mah, Heni Sholikhatun Ningsih, Margie Subahagia Nisja, Indra Novalianda, Sari Othman, M.A. Othman, Mohd Azlishah Othman, Mohd. Azlishah Panangian Mahadi Sihombing Pasaribu, Faisal Irsan Perangin-angin, Despaleri Ramadhan, Fakhri Rida, Rizkha Rizky Surya Andhayani Nasution Rony, Zahara Tussoleha Sari Novalianda Sayekti, Dania Tutra Eka Selis Selis SEMBIRING, RESEP Sholeha, Dewi Simanjuntak, Puan Maharani Sitompul, Daniel Ryan Hamonangan Situmorang, Andreas Sri Indah Rezkika Sri Liniarti Sri Ulina Sumita Wardani Suwarno - Syafruddin Hasan Syahrun Nizam Md Arshad Tania Artamevia Teguh Ramdani Teuku Kusnafizal Teuku Kusnafizal, Teuku Tigor Richardo Fery Dony Sitindaon Togar Timoteus Gultom Vicky Ade Efendi Winda Sari, Vina Zakaria, Zulkarnay Zulfikar Zulfikar