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All Journal International Journal of Electrical and Computer Engineering International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Advances in Applied Sciences Elkawnie Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Journal of Electrical Technology Journal of Applied Engineering and Technological Science (JAETS) Community Development Journal: Jurnal Pengabdian Masyarakat JTEIN: Jurnal Teknik Elektro Indonesia Jurnal Pendidikan dan Teknologi Indonesia Andalasian International Journal of Applied Science, Engineering, and Technology Mejuajua Journal of Renewable Energy, Electrical, and Computer Engineering Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Prosiding Seminar Nasional Teknik UISU (SEMNASTEK) Journal of Telecommunication and Electrical Scientific Jurnal Pendidikan & Pengajaran Riau Jurnal Teknik Informatika Impression : Jurnal Teknologi dan Informasi ATDS Saintech Journal of Engineering Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Jurnal Pengabdian kepada Masyarakat
Muhammad Fadlan Siregar
Universitas Medan Area
Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Machine learning for energy conversion prediction and photovoltaic-on grid protection system using IoT Habib Satria; Muhammad Fadlan Siregar; Indri Dayana; Dadan Ramdan; Hermansyah Hermansyah; Muhammad Irwanto; Syafii Syafii
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 15, No 2: July 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v15.i2.pp416-425

Abstract

The advancement of photovoltaic (PV) systems in tropical regions faces significant efficiency challenges due to fluctuating panel surface temperatures. This study addresses these issues by implementing machine learning (ML) models, specifically k-nearest neighbors (KNN) and extreme gradient boosting (XGBoost), to classify and monitor panel temperatures. To enhance system resilience, an internet of things (IoT) based on-grid protection system was developed, featuring a dual-relay redundancy mechanism that triggers an automated trip when the current exceeds 1.30 A. This integration ensures the protection of both the PV infrastructure and household electrical loads. Experimental results demonstrate that the KNN model exhibits superior reliability with a testing accuracy of 93% and a baseline performance of 96.67%, successfully identifying both normal (25 °C to 35 °C) and high-temperature (36 °C to 48 °C) states. In contrast, while the XGBoost model reached a maximum validation accuracy of 94.44% during training, it only achieved a testing accuracy of 84% and showed significant limitations in detecting normal temperature patterns. Beyond classification, the IoT framework proved highly precise in real-time energy monitoring, with sensor error rates below 2%. This research offers a strategic solution for optimizing energy conversion and system reliability, providing a robust framework for sustainable clean energy management in tropical climates.
Analisis Potensi dan Perancangan Sistem Hybrid PV/Wind Untuk Motor Board di Perlis, Malaysia Reza Juliangga; Muhammad Ikhwan Fahmi; Syofyan Anwar Syahputra; Muhammad Fadlan Siregar
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 3 (2025): November 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i3.1214

Abstract

Penelitian ini menganalisis potensi iradiasi matahari, temperatur, dan kecepatan angin sebagai sumber energi untuk sistem hybrid photovoltaic (PV)/wind powered motor board di Perlis, Malaysia. Data dikumpulkan selama periode Agustus hingga Desember 2018 di Centre of Excellence for Renewable Energy (CERE), Universiti Malaysia Perlis. Hasil menunjukkan bahwa iradiasi matahari rata-rata harian adalah 371,97 W/m² dengan temperatur rata-rata 28,06°C, mengindikasikan potensi yang baik untuk pembangkit PV. Namun, kecepatan angin rata-rata hanya 1,05 m/s yang tergolong sangat rendah. Simulasi menggunakan PSpice untuk modul PV 12V 3W menghasilkan error dibawah 10% dibandingkan datasheet. Perancangan optimal sistem menggunakan 17 modul PV, 1 turbin angin, charge controller 6,38A, dan 17 baterai 12V 1,2Ah untuk mensuplai beban motor DC 10W yang beroperasi 24 jam. Prototype sistem berhasil dibuat dengan monitoring berbasis mikrokontroler ATmega8535. Hasil pengujian menunjukkan output tegangan PV berkisar 13,42-19,61V dengan arus 0,05-0,4A pada iradiasi 107,5-893,6 W/m².   This study analyzes the potential of solar irradiation, temperature, and wind speed as energy sources for a hybrid photovoltaic (PV)/wind powered motor board system in Perlis, Malaysia. Data were collected during the period from August to December 2018 at the Centre of Excellence for Renewable Energy (CERE), Universiti Malaysia Perlis. The results show that the average daily solar irradiation was 371.97 W/m² with an average temperature of 28.06°C, indicating good potential for PV generation. However, the average wind speed was only 1.05 m/s, which is classified as very low. Simulation using PSpice for a 12V 3W PV module produced an error of less than 10% compared to the datasheet. The optimal system design utilizes 17 PV modules, 1 wind turbine, a 6.38A charge controller, and 17 12V 1.2Ah batteries to supply a 10W DC motor load operating 24 hours. A prototype system was successfully built with monitoring based on an ATmega8535 microcontroller. Test results showed that the PV output voltage ranged from 13.42-19.61V with a current of 0.05-0.4A at irradiation levels of 107.5-893.6 W/m².
Comparative Modeling of Harmonic Wave Reduction on Periodic Signals Through Fourier Series Integration and Passive Filter Effectiveness Siregar, Muhammad Fadlan; Ramdan, Dadan
Elkawnie Vol. 12 No. 1 (2026)
Publisher : Faculty of Science and Technology Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ekw.v12i1.34240

Abstract

Abstract: Harmonic distortion is a crucial problem in electric power systems caused by the use of non-linear loads, this study presents a comparative modeling of harmonic wave reduction on periodic signals through Fourier Series integration and the use of passive filters, research methodology involves collecting real data in the field using a power quality analyzer  FLUKE 435 series II on a distribution panel to identify the critical load profile. Load characteristics are analyzed through individual current decomposition (IHDi) from the 3rd to 23rd order. The observation results show that load  has the highest fundamental current peak of 0.541 A with dominant distortion in the 3rd and 5th orders. The implementation of a specifically tuned RLC passive filter is proven to be effective in improving the current waveform to a pure sinusoidal in the time domain with a fundamental frequency of 50 Hz. Overall, the integration of this mathematical model is able to suppress harmonics to meet the international standard IEEE 519, ensuring the efficiency and stability of the electric power distribution system, The results of the data analysis and modeling conducted indicate that Fourier series integration is highly effective in representing the characteristics of nonlinear loads in electric power systems, determining filter values ​​that will reduce harmonics and the appropriate filter models. Abstrak: Distorsi harmonik merupakan masalah penting pada sistem tenaga listrik yang disebabkan oleh penggunaan beban non-linier. Studi ini menyajikan pemodelan komparatif pengurangan gelombang harmonik pada sinyal periodik melalui integrasi deret Fourier dan penggunaan filter pasif, metodologi penelitian melibatkan pengumpulan data dunia nyata di lapangan menggunakan power quality analyzer  FLUKE 435 series II pada panel distribusi untuk mengidentifikasi profil beban kritis, karakteristik beban dianalisis melalui dekomposisi arus individual (IHDi) dari orde ke-3 hingga ke-23. Observasi menunjukkan bahwa Beban memiliki arus puncak fundamental tertinggi sebesar 0,541 A, dengan distorsi dominan pada orde ke-3 dan ke-5. Implementasi filter pasif RLC yang disetel secara khusus terbukti efektif dalam meningkatkan bentuk gelombang arus menjadi sinusoidal murni dalam domain waktu dengan frekuensi fundamental 50 Hz. Secara keseluruhan, integrasi model matematika ini mampu menekan harmonik untuk memenuhi standar internasional IEEE 519, memastikan efisiensi dan stabilitas sistem distribusi daya listrik. Hasil analisis data dan pemodelan yang dilakukan dapat disimpulkan bahwa integrasi deret fourier sangat efektif dalam merepresentasikan karakteristik beban non-linier dalam sistem daya listrik untuk menentukan nilai filter yang akan mengurangi harmonik dan model filter yang dapat digunakan.
Multi-level redundancy with internet of things battery supply for fault mitigation in grid-tied photovoltaic systems Habib Satria; Muhammad Fadlan Siregar; Indri Dayana; Dadan Ramdan; Muhammad Irwanto; Syafii Syafii
International Journal of Advances in Applied Sciences Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i2.pp622-633

Abstract

The development of grid-tied photovoltaic (PV) systems in tropical regions remains a strategic focus for achieving sustainable clean energy. However, energy conversion efficiency is often hampered by fluctuations in panel surface temperature and electrical faults. To ensure long-term system reliability, this study implements a multi-level redundancy architecture integrated with dynamic internet of things (IoT) monitoring for fault mitigation in grid-tied PV systems. The system employs a machine learning (ML) method using the k-nearest neighbors (KNN) algorithm for thermal classification, achieving an accuracy of 84% in identifying normal (25 °C to 35 °C) and overheating conditions. Furthermore, an electrical redundancy layer is designed with an automatic tripping mechanism that activates when the current exceeds a 1.30 A threshold, demonstrating a rapid response latency of 150 ms. To ensure monitoring resilience, the system is supported by a dedicated 18650 Li-ion battery backup. The implementation results confirm that this multi-level protection framework effectively monitors real time energy usage, prevents critical component damage, and enhances the overall safety of household-scale PV installations. This research provides a scalable and intelligent solution for fault mitigation, supporting the broader adoption of renewable energy in tropical environments.
The Rancang Bangun Alat Pengukur Panel Surya Monocrystalline Dan Polycrystalline Dengan Metode pulse Repair Battery Charger LEO RIVALDO SIMANJUNTAK; Muhammad Fadlan Siregar
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3279

Abstract

Salah satu tantangan global, termasuk di Indonesia, adalah masalah energi. Indonesia memiliki potensi energi surya sebesar 4,8 kWh/m²/hari, menjadikannya pilihan tepat untuk energi terbarukan, terutama di rumah tangga. Panel surya tipe monocrystalline dan polycrystalline umumnya digunakan, namun kinerjanya bergantung pada produsen dan kondisi pengujian. Pengujian standar dilakukan di bawah Standard Test Conditions (STC) berdasarkan IEC 61215, namun kondisi ini jarang terjadi dalam praktik sehari-hari. Efisiensi aktual panel dipengaruhi oleh faktor seperti lokasi, suhu, dan intensitas radiasi, yang menyebabkan perbedaan antara kinerja lapangan dan spesifikasi pabrikan. Penelitian ini bertujuan mengukur dan membandingkan kinerja kedua tipe panel menggunakan alat Pulse Repair Battery Charger. Metode eksperimental ini menghasilkan data yang dianalisis dalam tabel. Hasilnya menunjukkan bahwa panel monocrystalline dan polycrystalline memiliki kinerja suboptimal dengan efisiensi masing-masing 7,19% dan 7,29%. Nilai Fill Factor sebesar 0,2 menunjukkan masalah kualitas material. Untuk meningkatkan kinerja, diperlukan evaluasi lebih lanjut terhadap resistansi internal serta optimasi desain dan pemeliharaan panel.
Analisa Kualitas Daya Listrik Kapasitas 4400w Dengan Beban Non Linier Dimas Pantoza Pantoza; Muhammad Fadlan Siregar
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3283

Abstract

Penelitian ini bertujuan untuk menganalisis kualitas daya listrik pada sistem berkapasitas 4400W dengan beban nonlinier, yang semakin umum dalam instalasi rumah tangga dan industri kecil. Distorsi harmonik yang dihasilkan oleh beban nonlinier, seperti peralatan elektronik dan sistem konversi daya, dapat menyebabkan berbagai masalah pada sistem kelistrikan. Metode penelitian meliputi pengukuran parameter kualitas daya, seperti tegangan, arus, dan distorsi harmonik total (THD), pada berbagai kondisi beban. Hasil penelitian menunjukkan bahwa beban nonlinier menyebabkan distorsi harmonik yang signifikan, dengan nilai THD melebihi standar yang direkomendasikan. Pemasangan kapasitor bank dievaluasi sebagai solusi untuk mengurangi distorsi harmonik dan meningkatkan faktor daya. Penelitian ini memberikan pemahaman mendalam tentang dampak beban nonlinier terhadap kualitas daya listrik dan memberikan rekomendasi untuk meningkatkan kinerja sistem kelistrikan.
Implementasi Sistem Kelistrikan Tanpa Kedip Berbasis Keandalan pada Gedung Futsal Sumatera Utara Urtat Batu Ajis Bulawolo; Muhammad Fadlan Siregar
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3284

Abstract

The National Sports Week (PON) is one of the largest sporting events in Indonesia held every four years. Aceh and North Sumatra are the organizers of the XXI PON 2024. The implementation of PON in the North Sumatra region is a special concern by all parties. PT PLN (Persero) UP3 Medan Utara takes part in maintaining electricity stability during PON activities, UP3 Medan Utara conducts an electricity reliability system without blinking, namely by backing up the load, and to find out the number of load requirements that are supplied and know the function of each unit of electrical equipment used from the measurement of installed power in the building is 41,500 Watts, 400 kVA transformer, 40 kVA UPS, 100 kVA generator and 250 kVA UGB. From the results of measurements taken in getting the value of cable measurements R (I = 36.17 and F = 50.20 Hz), S (I = 15.22 and F = 50.21 Hz), T (I = 24.48 and F = 50.21 Hz) and N (I = 25.46 and F = 50.19 Hz).
Analisis Penggunaan Ketenagalistrikan Golongan R1-R3 Di Wilayah Sumatera Utara: Universitas medan area Maliki Riski Usman; Muhammad Fadlan Siregar
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3291

Abstract

Rumah tangga menjadi salah satu konsumen listrik terbesar dengan peningkatan konsumsi yang signifikan setiap tahunnya. Pola konsumsi listrik rumah tangga ini menjadi indikator penting dalam perencanaan dan pengembangan infrastruktur kelistrikan nasional. Tujuan dari penelitian ini yaitu mengidentifikasi pola konsumsi listrik rumah tangga, menganalisis faktor-faktor yang mempengaruhi konsumsi, serta merumuskan rekomendasi untuk meningkatkan efisiensi penggunaan listrik. Analisis yang dilakukan mencakup pengumpulan data konsumsi listrik dari sampel rumah tangga, analisis statistik pola penggunaan, serta wawancara mendalam dengan konsumen. Hasil yang di analisis pada pelanggan RI (450 VA) beban 0.8334 kWh, pelanggan RI (900 VA) beban 1.188 kWh, pelanggan RI (1300 VA) 1.592 kWh, pelanggan RI (2200 VA) beban 2.196 kWh, pelanggan R2 (3500 - 5500 VA) beban beban 4.711 kWh , dan pelanggan R3 (>6600 VA) beban 6.652 kWh.
Analisis Penggunaan Data Listrik Pada Sistem Telekomunikasi Base Transceiver Station 4G M Rizky Fevrier; Muhammad Fadlan Siregar
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3303

Abstract

Penelitian ini bertujuan untuk menganalisis pola konsumsi energi listrik pada Base Transceiver Station (BTS) 4G di Indonesia, dengan fokus pada identifikasi faktor-faktor yang mempengaruhi efisiensi energi dan strategi optimalisasi. Metode penelitian melibatkan pengukuran langsung konsumsi energi pada 15 BTS 4G di berbagai lokasi, serta analisis data operasional untuk memahami korelasi antara trafik data, suhu lingkungan, dan konfigurasi perangkat dengan konsumsi energi. Hasil penelitian menunjukkan bahwa implementasi strategi pengaturan daya adaptif dan integrasi sumber energi terbarukan dapat mengurangi konsumsi energi hingga 22,3%. Simpulan penelitian ini menyediakan dasar untuk pengembangan kebijakan efisiensi energi pada infrastruktur telekomunikasi dan berkontribusi pada upaya pengurangan emisi karbon di Indonesia.
Perencanaan Mini Hidro Di Persawahan Pahae Jae Desa Nahornop Marsada Kabupaten Tapanuli Utara Ronaldo Simatupang; Muhammad Fadlan Siregar
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3309

Abstract

The design and construction of mini hydro in Pahae Jae rice fields, Nahornop Marsada village, North Tapanuli Regency, aims to utilize the potential of existing water resources to produce sustainable electrical energy. With supportive geographical conditions, the river flow in this area has sufficient discharge to be processed into electrical energy through a micro hydro power generation system. This study involves analyzing the potential of river flow, selecting strategic locations, and designing efficient turbine systems. The methods used include measuring water discharge, calculating the power that can be generated, and designing supporting infrastructure. The results of this design and construction are expected to provide alternative energy solutions for local communities, increase agricultural productivity, and reduce dependence on fossil fuel sources. In addition, this project also aims to increase public awareness of the importance of utilizing renewable energy and preserving the environment. Thus, the mini hydro in Pahae Jae not only functions as an energy source, but also as a model of sustainable development that can be applied in other areas with similar potential.
Co-Authors AA Sudharmawan, AA Abda Abda Abdilah, Tomi Abdillah, Tomi Abdullah Yusuf Pulungan Afrita Agus Kartini, Siti Ahmad Arif Ahmad Faisal Ahmad Sumantri - Andi Nova Bukit Anwar Syahputra, Sofyan Anwar Syahputra, Syofyan Anwar Syaputra, Sofyan Anwar, Khairi Arif Milando Arifin Karo Karo, Justaman Aris Santoso Arnold Pakpahan Ayu Fitriani Ayu Fitriani Bakti, Imam Rangga Budhi Santri Kusuma Budi Harianto Bunda, Yola Permata Chairu Sabila, Puji D. Shahreiza D. Shahreizza Dadan Ramdan Darianto Darianto Darma, Mospa Dhana Suriyanto Dian Inda Sari Dila Handayani Dimas Pantoza Pantoza Dina Maizana Dina Maizana, MT Elyani, Elyani Eryanti Novita Fahmi, Muhammad Ikhwan Ginting, Leoni Gunawan Gustam Harahap Habib Satria Habib Satria Habib Satria Habib Satria HAPOSAN SITUNGKIR Hermansyah Hermansyah Hermansyah Hermansyah Hermansyah Herri Trisna Frianto, Herri Trisna Ibrahim Muthawali, Dede Ilham Maulana Indawan, Isnanda Indra Cahyadi, Catra Indradewa, Rhian Indri Dayana Intan Zarina binti Raja Zaki Hashim, Raja Irwanto Misrun, Muhammad Irwanto, Muhammad Ishak Ishak Ismail Simanjuntak, Taufik Jhoni Hidayat Joel Panjaitan Juliaster Marbun Jusoh, Muzzammil Kurniawan Sinaga Laksamana, Boy LEO RIVALDO SIMANJUNTAK M Rizky Fevrier M. Yogi Riyantama Isjoni Maliki Riski Usman Marisa, Siti Martha Rianna Meidi Wani Lestari, Meidi Wani Mhd Fahmi Syawali Rizki Mhd Fahmi Syawali Rizki Mhd. Dhana Suriyanto Moranain Mungkin Moulando Tampubolon Muchsin Harahap Muhammad Ikhwan Fahmi Muhammad Ikhwan Fahmi Muhammad Irwanto Muhammad Irwanto Muhathir, Muhathir Muhathir, Muhathir Muhcsin Harahap Mungkin, Moranaim Murtopo Na`im, Khairun Nova Bukit , Andi Parlindungan Simanjuntak, Richard Pasaribu, Yoga Nugraha Putra Permata Sari Siregar, Ade Pulungan, Abdullah Yusuf Puspita Sari, Mega Raden Mohamad Herdian Bhakti Regina Sirait - Reza Juliangga Romi Nasution, Muhammad Ronaldo Simatupang Rudi Salam Santoso, Aris Sari, Mega Puspita Siburian, Dani Lamada Sijabat, Tonggo Siti Utari Rahayu Sri Indah Rezkika Syafii . Syafriwel, Syafriwel Syahputra Sembiring, Amsali Syahputra, Syofyan Anwar Syarif, Yance Syofyan Anwar Syahputra Syofyan Anwar Syahputra Syofyan, Syofyan Anwar Syahputra Tomi Abdillah Trisna Frianto, Herri Trsina Frianto, Herri Try Utari, Cut Ulum, Zahrul Urtat Batu Ajis Bulawolo Vina Winda Sari WINATA, SATRIA ANANDA Yahya, Yanawati Binti Yanawati Yahya Yance Syarif Yoga Tri Nugraha Yunida Berliana Zahrul Ulum Zainuddin Ginting Zakaria, Zulkarnay Zetta Fazira Zulkifli Bahri, Zulkifli