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All Journal Jurnal Pendidikan Teknologi dan Kejuruan INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Hasil Pengabdian Kepada Masyarakat JURNAL PENGABDIAN KEPADA MASYARAKAT Martabe : Jurnal Pengabdian Kepada Masyarakat Jambura Journal of Electrical and Electronics Engineering Jurnal Anugerah: Jurnal Pengabdian Kepada Masyarakat Bidang Keguruan dan Ilmu Pendidikan Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
Rudi Salman
Jurusan Pendidikan Teknik Elektro
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Transportation Other

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The Influence of Population Size on the Computational Time of Genetic Algorithms in Course Scheduling Salman, Rudi; Sinuraya, Arwadi; Irfandi, Irfandi; Eswanto, Eswanto; Rahman, Sayuti; Herdianto, Herdianto; Hutajulu, Olnes Yosefa; Halawa, Agung Y S
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.33508

Abstract

Course scheduling is a complex problem in higher education because it must satisfy multiple constraints involving courses, instructors, rooms, and time slots. This study examines the impact of population size variation on the computational efficiency of a Genetic Algorithm (GA) applied to a medium-scale instance consisting of 35 courses, 15 instructors, 12 rooms, and 20 time slots. Simulations were conducted in MATLAB using population sizes ranging from 20 to 1000, while all other GA parameters were held constant to isolate the effect of population size. Solution quality was evaluated using a conflict-based fitness function, and all configurations yielded valid timetables with zero hard-constraint violations. Experimental results reveal a consistent non-linear relationship between population size and computation time. Statistical findings in Table 1—including mean values, standard deviations, and 95% confidence intervals—show that both very small and very large populations produce higher and more variable execution times. In contrast, population sizes of 300–400 achieve the lowest and most stable computation times, indicated by the smallest mean values and narrow confidence intervals. For the instance and configuration used in this study, this range serves as an effective starting point for population size tuning. Overall, the findings highlight the importance of empirical parameter selection to balance computational efficiency and solution quality in academic timetabling systems.
OPTIMALISASI PEMBUATAN SABUN DARI MINYAK JELANTAH OLEH PKK DOLOK MARAJA KECAMATAN TAPIAN DOLOK SIMALUNGUN Salman, Rudi; Herlinawati, Herlinawati; Irfandi, Irfandi; Harahap, Mukti Hamjah; Endriani, Dewi
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2021): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v4i1.131-138

Abstract

The purpose of community partnership activities is to help the partner group of women for Family Empowerment and Welfare (PKK) Nagori Dolok Maraja in utilizing used used oil waste by taking appropriate treatment so that it does not cause disease for the body and does not harm the natural ecosystem. The problem that exists in the community is waste of used cooking oil which is wasted and damages the water ecosystem. The location selection was due to the fact that there are people in the village who are entrepreneurs in the field of home industry and do not yet have economic independence. Besides that, they also have difficulties in developing their business. From the activities carried out, data was obtained during the training and assistance in making liquid soap 9 participants (24%) with very good categories, 10 participants (26%) in good categories, 16 participants (42%) in the Enough category and 3 Participants (8%) were in the poor category. The method used in this activity is assistance and the process of making soap from waste used cooking oil. Assistance and guidance starting from the aspect of awareness about health in consuming cooking oil, the use of waste oil into soap, the production process using appropriate technology so as to give birth to people who are able and economically independent and conservation.
Comparative Assessment of Deterministic and Probabilistic Load Flow Under Solar Irradiance Variability in PV-Integrated Distribution Networks Astrid, Erita -; Simamora, Yoakim; Solihin, Muhammad Dani; Suryanto, Eka Dodi; Salman, Rudi
invotek Vol 25 No 2 (2025): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v25i2.1302

Abstract

The increasing penetration of photovoltaic (PV) generation in modern distribution networks introduces considerable uncertainty due to the inherently fluctuating nature of solar irradiance. These fluctuations directly affect PV output power, resulting in significant variations in bus voltages, feeder currents, and power losses. Traditional deterministic load flow (DLF) analysis, which assumes fixed PV generation, is unable to capture this stochastic behavior and therefore may lead to inaccurate estimation of system conditions. This study presents a comparative assessment between deterministic load flow using the Backward–Forward Sweep (BFS) method and probabilistic load flow (PLF) based on Hong’s Two-Point Estimate Method (PEM) to evaluate the impact of solar irradiance variability on the performance of PV-integrated distribution networks. Solar irradiance data are statistically characterized to obtain the mean and variance, which are then propagated into PV output power through a linear irradiance–power conversion model. The IEEE 34-bus radial distribution system is used as the test network, with multiple PV units installed at selected buses. The results show that deterministic analysis underestimates voltage deviations and fails to capture the range of power losses induced by PV uncertainty. In particular, the deterministic BFS solution yields a single operating point with real and reactive losses of 0.1582 MW and 0.0479 MVar, whereas the probabilistic 2PEM produces mean losses of 0.105 MW and 0.031 MVar with standard deviations of 0.057 MW and 0.016 MVar, respectively. In contrast to the fixed deterministic voltage curve, probabilistic voltage profiles form a bounded envelope around it, indicating non-negligible downstream voltage variability driven by irradiance fluctuations. Overall, the findings confirm that solar irradiance variability substantially influences distribution system performance, and incorporating probabilistic assessment is essential for more realistic, risk-informed planning and operation of PV-integrated distribution systems.
Co-Authors Arwadi Sinuraya Astrid, Erita - Dedy Husrizal Syah, Dedy Husrizal Deo Demonta Panggabean Dewi Endriani Dolok Saribu, Maryati Evivani Eka Dodi Suryanto Eswanto, Eswanto Halawa, Agung Y S Herdianto Herdianto, Herdianto Herlinawati Herlinawati Hutajulu, Olnes Yosefa Irfandi Irfandi Irfandi Irfandi Irfandi, Irfandi Jurubahasa Sinuraya Manurung, Imelda Free Unita Muhammad Dani Solihin Mukti Hamjah Harahap, Mukti Hamjah Prawijaya, Septian Rahman, Sayuti Simatupang, Halim Simatupang SUPRAPTO Suprapto Suprapto Tarigan, Nelson Taufik Hidayat Yoakim Simamora