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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Infotech Journal Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Inotera Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Sosial Humaniora Sigli JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Applied Electrical Engineering International Journal of Engineering, Science and Information Technology Brilliance: Research of Artificial Intelligence Journal of Renewable Energy, Electrical, and Computer Engineering TECHSI - Jurnal Teknik Informatika Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Journal Geuthee of Engineering and Energy Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Jurnal Rekayasa elektrika
Muchlis Abdul Muthalib
Universitas Malikussaleh
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Design and Analysis of a 10 MW On-Grid Solar Power Generation System in Lhokseumawe with Variation of Tilt Angle and Interrow Spacing Nazmi Roan Pratama; Muchlis Abdul Muthalib
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
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.v4i2.14396

Abstract

The primary focus of this study is to develop a ground-mounted solar power generation system with the optimal tilt angle and inter-row spacing to generate electricity in Indonesia, specifically in Lhokseumawe City. The research involves conducting simulation tests using Meteonorm software for solar resource assessment. Additionally, the HelioScope software is employed for modeling the ground-mounted solar power generation system, analyzing the PV system's performance in terms of annual generation, system losses, and performance ratio, as well as studying the solar panel's performance, current-voltage, and power-voltage curves for varying irradiance levels. The Single Line Diagram (SLD) reveals that 12 strings are connected to each inverter, and the output power of inverters is combined using 20.0 A circuit interconnects. The efficiency of solar power generation systems is influenced by the tilt angle and interrow spacing. Based on the simulation results for all scenarios, it is concluded that the solar power generation system installed at 0° tilt angle with a 0.9-meter interrow spacing outperforms other solar power generation systems. This is attributed to the maximum total collector irradiance of 1731.6 kWh/m2 compared to other tilt angles. At 0° tilt angle, the annual production of the solar power generation system is 14.77 GWh, with a performance ratio of 80.6%. This research aims to provide valuable insights for energy system designers, planners, and investors, guiding the development of strategies for the implementation of solar power generation energy systems not only in Indonesia but also globally.
PROTOTIPE ALAT MONITORING DAN PENDINGINAN PADA PANEL SURYA DENGAN INTERNET OF THINGS Fakhri Azhari; Muhammad Daud; Habib Muharry Yusdartono; Muchlis Abd Muthalib; Badriana Badriana
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 28, No 2 April (2026): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.28.2.115-123

Abstract

Indonesia memiliki potensi energi surya yang besar karena letaknya di garis khatulistiwa dengan intensitas matahari tinggi sepanjang tahun. Namun, suhu berlebih pada panel surya akibat radiasi matahari dapat menurunkan efisiensi dan mempercepat degradasi sistem photovoltaic. Penelitian ini mengembangkan prototipe sistem pendingin panel surya berbasis internet of things (IoT) untuk menjaga suhu panel tetap optimal. Prototipe dirancang dengan sensor suhu, mikrokontroler, modul peltier, dan kipas, yang terintegrasi dalam sistem pemantauan suhu otomatis dan dapat dikendalikan secara jarak jauh. Pengujian dilakukan selama tujuh hari berturut-turut dengan pengambilan data suhu dan daya keluaran panel, baik saat sistem pendingin aktif maupun tidak aktif. Hasil penelitian menunjukkan penurunan suhu panel hingga 39,5°C dan peningkatan daya hingga 3,35 watt pada kondisi sangat cerah. Sistem ini terbukti efektif dalam menjaga kestabilan suhu dan meningkatkan daya output panel surya secara signifikan. Kesimpulannya, penerapan sistem pendinginan berbasis IoT dapat meningkatkan efisiensi energi dan memperpanjang umur pakai panel surya, serta menjadi solusi aplikatif bagi pemanfaatan energi terbarukan secara optimal di wilayah tropis.
Comparative Analysis of CNN and YOLO for Aromatic Leaf Detection on Android-Based Deep Learning Applications Yuli Safrina; Muhammad Fikry; Mukhlis Abd Muthalib
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.13015

Abstract

Commonly used aromatic leaves in Indonesian cuisine include bay leaves (Syzygium polyanthum), pandan leaves (Pandanus amaryllifolius), lime leaves (Citrus hystrix), curry leaves (Murraya koenigii), and turmeric leaves (Curcuma longa). Their similar shapes, colors, and textures often make manual identification difficult. Therefore, deep learning technology can be utilized to automatically identify and detect aromatic leaf types through digital images. This study aims to analyze the performance of a Convolutional Neural Network (CNN) using the EfficientNet-B0 architecture and the YOLOv11 model with the AdamW optimizer in detecting and classifying aromatic leaves. The system is implemented using a Python Flask framework for the web based backend and Flutter for the mobile application interface on Android devices. The dataset used in this study consists of 671 digital images obtained through direct image collection and supporting datasets. The dataset is categorized into five classes: bay leaf, pandan leaf, lime leaf, curry leaf, and turmeric leaf. Furthermore, the dataset is divided into training data (89%), validation data (7%), and testing data (4%). The results show that the YOLOv11 model outperforms the CNN (EfficientNet-B0) model. YOLOv11 achieved a precision of 73.36%, recall of 84.35%, mAP50 of 83.93%, and mAP50-95 of 71.38%. Meanwhile, EfficientNet-B0 achieved a best validation accuracy of 81.40% and a test accuracy of 62.07%. Based on experimental results, YOLOv11 demonstrates higher detection confidence and more consistent performance compared to EfficientNet-B0. In addition, YOLOv11 is more suitable for mobile deployment due to its real-time object detection capability with faster inference speed, while the system is supported by a Flask based backend and a Flutter mobile application interface.
Clustering of Futsal Interest Level Among Students K-Means Method Faris Bagaswara; Muchlis Abd Muthalib; Rini Meiyanti
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.879

Abstract

Futsal is a small field sport with a time of 20 minutes per round. Malikussaleh University is one of the universities that initiated Futsal as a health sport for its students. To determine students' interest in Futsal, clustering was carried out using the K-Means method on 100 students of the Faculty of Engineering involved in this study. This research proposal uses five variables: time variables, field facilities, motivation, environment, and plans. This study aims to help students at Malikussaleh University of Engineering find out what level of interest students have in Futsal. Grouping is based on data mining to determine the pattern of each sequence. Data mining includes tracking patterns, classification, association, outlier detection, clustering, regression, and forecasting. This study also led to an innovative grouping system using the Python programming language and MySQL as a database. The K-Means Clustering algorithm used in this grouping system states that out of 100 Malikussaleh University students, 20 people are students who have a professional player futsal interest level (C1), 28 students have a regular player futsal interest level (C2), five students have a Beginner player futsal interest level (C3), 47 students have an amateur player futsal interest level (C4). The study results showed that 20% were professional, 28% were regular, 5% were beginner, and 47% were amateur players. These results indicate that the interest in Futsal for Malikussaleh University students is still minimal, so encouragement is needed for students to participate in futsal activities.
Study on the Influence of Distributed Generation on the Protection Performance of Electric Power Systems Adi Syahputra Ritonga; Arnawan Hasibuan; Muhammad Daud; Munirul Ula; Muchlis Abdul Muthalib; Abdullah A.Z
Jurnal Rekayasa Elektrika Vol. 22 No. 1 (2026): Vol. 22, No. 1, March 2026
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v22i1.2581

Abstract

Increasing integration of distributed generation (DG) based on renewable energy, such as photovoltaic (PV), is increasingly being implemented to improve the reliability of electric power distribution systems. However, DG penetration can affect the performance of the protection system, especially in managing three-phase shortcircuit fault currents. This study aims to analyze the influence of DG configuration and penetration rate on the protection system in the power distribution network, especially in the IEEE 13 Bus system. The method used is a numerical simulation in which one of the observed buses, bus 5, with the highest fault current, is selected, and a DG is inserted on buses with the lowest voltage, namely buses 2, 4, and 6. With the IEEE 13 Bus model, followed by an analysis of the fault current, voltage stability, and protection trip time for various configurations and penetration levels of DG. The results showed that the higher the DG penetration, the greater the fault current, which affected protection trip time and voltage stability. These findings suggest updating the protection scheme to account for the DG’s fault contribution and implementing stricter arrangements to optimize DG integration without compromising the reliability of the overall electric power distribution system.
Co-Authors Abdullah A.Z Adi Syahputra Ritonga Adi Syahputra Ritonga Adi Syahputra Ritonga Aditiyo, Andre Yazid Aja Anis Monika Aldi Fadilah Isma Aman, Khairul Andik Bintoro Annisa Karima Arnawan Hasibuan Asran Asran Asran, Asran Asri Asri Ayu Rosmala, Ayu Rosmala Badriana, Badriana Biswas Babu Pokhrel Dahlan Abdullah Dedi Fariadi Dheo Pratama Fahrian Roid Fajar Rahmansyah Fakhri Azhari Faris Bagaswara Fauza, Muchtar Gohatre, Umakant B. Habib Muharry Yusdartono Hamdi Akmal Lubis Hamdi Akmal Lubis, Hamdi Akmal Ikramullah Ikramullah Irfan Irfan Kartika Kartika Kurniawati Kurniawati M. Raiyan Firdaus Manutur JT Siagian Mayah Sapriani MMSI Irfan ,S. Kom Muhammad Muhammad Daud Muhammad Fikry Muhammad Hafizal Muhammad Ikhwanus Muhammad Naufal Muhammad Sayuti Munirul Ula Nazmi Roan Pratama Nurdin Nurdin Nurfebruary, Nanda Sitti Pendriadi Pendriadi Phuyal, Sudip Pokhrel, Biswas Babu Raihan Putri Ramadhani, Hardiyansyah Rini Meiyanti Ritonga, Adi Syahputra Rizki Suwanda Rizki Yaldi Rizky Aulia Safwandi Safwandi Said Fadlan Anshari Salahuddin Salahuddin Sari, Cut Jora Selamat Meliala Sudip Phuyal Taufiq Taufiq Taufiq Taufiq Tua, Rendi Sahila Umakant B. Gohatre Wanda Syahayu Yuli Safrina Zakia, Syarifah