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Journal : Jurnal FORTECH

Perencanaan Pencahayaan Lampu Jalan Dengan Simulasi Dialux Untuk Efisiensi Energi Lutfi Cahyanto, Iqbal; Ali, Machrus; Nurohmah, Hidayatul
Jurnal FORTECH Vol. 6 No. 1 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i1.6102

Abstract

Good street lighting planning is essential, especially in areas prone to accidents and crime. Good street lighting can reduce the risk of accidents and increase the sense of security in public areas, providing security, convenience, and comfort for road users, especially at night or in bad weather conditions. However, street lighting is often a significant source of energy consumption. Therefore, optimising the street lighting system to improve energy efficiency is necessary. The study results showed that the existing lighting system using 250 W high-pressure sodium (HPS) lamps has weaknesses in terms of energy efficiency and light distribution quality. Simulations using Dialux showed that the average luminance of existing lighting only reached 0.6 cd/m² with a uniformity level of 0.4, and energy consumption reached 20,000 W along the road. Lighting optimization using 120 W LED lamps provides significant improvements in energy efficiency and lighting quality. The average luminance increased to 0.8 cd/m² with a uniformity of 0.6, while energy consumption decreased by 52%, from 20,000 W to 9,600 W. In addition, the glare level decreased from 30 to 25, indicating an increase in visual comfort. These results indicate that the implementation of LED lights can not only improve the quality of street lighting but also have a positive impact on energy efficiency and reduced operating costs.
Optimasi Pembangkitan Ekonomis Berbasis Whale Optimization Algorithm Pada Sistem Multimesin Nurohmah, Hidayatul; Sula Cakra Buana, Arya; Rukslin, Rukslin; Ali, Machrus; Ruswandi Djalal, Muhammad
Jurnal FORTECH Vol. 6 No. 2 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i2.6102

Abstract

This study addresses the problem of generation cost optimization for thermal power plants in the Sulbagsel multimachine power system. An advanced swarm intelligence approach, the Whale Optimization Algorithm (WOA), is employed as the primary optimization technique. WOA, inspired by the bubble-net hunting strategy of humpback whales, has emerged as a promising metaheuristic with strong capabilities in exploration and exploitation. The main objective of this study is to minimize thermal generation costs while ensuring effective performance under real system operating conditions. To provide a comparative benchmark, Particle Swarm Optimization (PSO) is also applied to the same problem. Statistical evaluation is conducted to assess convergence behavior, accuracy, and consistency of both methods. The results indicate that WOA demonstrates superior balance between exploration and exploitation, leading to stable convergence and reliable solutions. Under peak daytime load conditions, PSO achieves a cost reduction of 23.02%, whereas the proposed WOA-based method achieves a comparable reduction of 23.78%. Although PSO yields a slightly higher cost saving, WOA demonstrates stronger robustness and statistical reliability across multiple trials. These findings confirm that WOA is a competitive alternative for generation cost optimization in complex multimachine systems, offering significant potential for future applications in economic dispatch problems with larger-scale renewable energy integration.