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Optimasi Pembangkitan Ekonomis Berbasis Whale Optimization Algorithm Pada Sistem Multimesin Hidayatul Nurohmah; Arya Sula Cakra Buana; Rukslin Rukslin; Machrus Ali; Muhammad Ruswandi Djalal
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.
Lighting Installation System Design in the Parking Area of Prof. Dr. Soekandar Mojokerto Regional Hospital Based on Dialux Software: Desain Sistem Instalasi Penerangan pada Area Parkir RSUD Prof Dr Soekandar Mojokerto berbasis Dialux Software Budi Utomo; Dwi Ajiatmo; Hidayatul Nurohmah; Machrus Ali
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 10 No. 2 (2026): Oktober
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v10i1.1744

Abstract

This study aims to design an optimal lighting installation system for the parking area of RSUD Prof. Dr. Soekandar Mojokerto by using DIALux Evo as a lighting simulation tool. The existing lighting system employs three 150 W High Pressure Sodium (HPS) lamps and does not meet the parking area lighting standard specified in SNI 7391:2008. The simulation results of the existing condition indicate an average illuminance of 35.3 lux, an average luminance of 3.37 cd/m², a uniformity ratio of 0.005, and a Unified Glare Rating (UGR) of 25. To improve the lighting performance, a redesign was carried out using 17 units of 57 W LED lamps. The simulation results of the proposed design show significant improvement, with an average illuminance of 96.5 lux, an average luminance of 9.21 cd/m², a uniformity ratio of 0.37, and a glare level of 19. Although the energy consumption increased from 5.4 kWh to 11.628 kWh, this increase is proportional to the improvement in lighting quality. The results indicate that the use of LED lamps provides brighter, more uniform, and more visually comfortable lighting while complying with the applicable standards. Therefore, the DIALux Evo-based lighting design is recommended for implementation in hospital parking areas and similar public facilities.