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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Applied Power Engineering (IJAPE) International Journal of Advances in Applied Sciences MEDIA ELEKTRIKA Transmisi: Jurnal Ilmiah Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology Jurnal Sains dan Teknologi Jurnal Teknik Elektro Jurnal Teknik Elektro JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Sinergi Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics CESS (Journal of Computer Engineering, System and Science) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Journal of Electrical Technology UMY Jurnal Teknologi dan Sistem Komputer International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science Jurnal TAM (Technology Acceptance Model) Abdimas Dewantara JURNAL INSTEK (Informatika Sains dan Teknologi) SENTIA 2015 INTEK: Jurnal Penelitian Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan EPI International Journal of Engineering Jurnal Teknologi Elekterika Jurnal Abdi Insani Jurnal JEETech JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Fortech Jurnal Teknik Mesin Sinergi Makara Journal of Technology Techno Jurnal Ilmiah Teknik Elektro Journal of Advanced Technology and Multidiscipline (JATM) Sewagati Jurnal TAM (Technology Acceptance Model) Jurnal FORTECH
Muhammad Ruswandi Djalal
Politeknik Negeri Ujung Pandang
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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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.
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.
Mixed-Integer Linear Programming for Optimal Operation of Integrated Electricity and Natural Gas System Considering Take or Pay Agreements Ervina Nooraini; Mohamad Almas Prakasa; Muhammad Ruswandi Djalal; Rony Seto Wibowo; Imam Robandi
JUTI: Jurnal Ilmiah Teknologi Informasi Vol.23, No.2, July 2025
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v23i2.a1265

Abstract

This paper is proposed to demonstrate the implementation of Mixed-Integer Linear Programming (MILP) for solving the optimal operation of the Integrated Electricity and Natural Gas System (IENGS). The MILP is used to realize an economical and reliable power electricity system based on Dynamic Optimal Power and Gas Flow (DOPGF) considering Take or Pay (TOP) agreements for natural gas. This method is simulated on the integrated 6-bus electricity and 6-node natural gas systems. By using MILP, the best costs for optimal operation of IENGS are obtained in three scenarios. The superiority of the MILP is validated by suppressing the increasing best cost for optimal operation to be below 10%. In the first case, the best cost is $735,405.37 without the TOP agreement. In the second scenario, the best cost ranges from $748,399.30 to $760,320.57 with the TOP agreement implemented in one-by-one generators, which is 1.77% to 3.39% higher than the first scenario. In the third case, the best cost is $791,833.04 with the TOP agreement in all of the generators, which is 7.67% higher than the first scenario. In addition, the MILP can perform the DOPGF for IENGS without violating the problem constraints regarding the load demand fulfillment and power system limitations in both coal-fired and gas-fired generators.                                                        
Implementasi Trainer Pembangkit Listrik Tenaga Surya Berbasis Internet of Things Sebagai Media Pembelajaran Di SMK Negeri 4 Kabupaten Soppeng Ruswandi Djalal, Muhammad; Serpian, Serpian; Mulyadi, Musrady; Usman, Usman; Faisal, Faisal; Robandi, Imam; Almas Prakasa, Mohamad; Ramadhani, Akhmad; Ridho, Hasan; Aulia, Gustav; Furqoan, Muhammad; Abraham, Richard; Aksan, Ahmad; Mahdiah, Hakimah; Tazkiyatunnisa, Tazkiyatunnisa; Fayyad, Moh; Jelang Ramadhan, Muhammad; Musrifinah, Musrifinah; Dwi Syahimullah, Akzar; Ardiansya Samsul, Vito; Sudaryono, M; Zahir, Ahmad; Mursid, Muhammad; Mallarangeng, Andi; Zaky Khalik, Fuad; Al-Furqan, Muhammad; Afdhal, Muhammad
Sewagati Vol 9 No 6 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i6.8094

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan meningkatkan kompetensi teknologi energi terbarukan di SMK Negeri 4 (SKAPAT) Kabupaten Soppeng, Sulawesi Selatan, melalui implementasi trainer Pembangkit Listrik Tenaga Surya (PLTS) berbasis Internet of Things (IoT) sebagai media pembelajaran. Latar belakang kegiatan ini adalah terbatasnya fasilitas dan pemahaman guru serta siswa terkait teknologi Energi Baru Terbarukan (EBT), khususnya PLTS. Metode pelaksanaan meliputi perancangan, pembuatan, simulasi, uji coba, dan implementasi trainer PLTS skala laboratorium. Sistem yang dirancang menggunakan dua modul panel surya 120 Wp, Solar Charge Controller (SCC), inverter 1600 W, Automatic Transfer Switch (ATS) dan baterai VRLA 50 Ah. Fitur IoT digunakan untuk memonitoring tegangan, arus, dan daya secara real-time serta mengontrol beban listrik melalui aplikasi ponsel. Trainer PLTS terbukti optimal sebagai media praktikum, dan pelatihan berhasil meningkatkan pemahaman guru serta siswa tentang pengoperasiannya. Kegiatan ini mendukung SDGs 4 & 7 dan berpotensi direplikasi untuk memperluas literasi energi terbarukan di SMK lain.
Design and implementation of an internet of things-based automatic waste sorting system Taufik, Akhmad; Paisal, Paisal; Djalal, Muhammad Ruswandi; Dillah, Zahran Atha; Ismail, Haryono
International Journal of Advances in Applied Sciences Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i4.pp1155-1165

Abstract

This paper presents the design and development of an internet of things (IoT)-based automatic waste sorting system that classifies waste into four categories: organic, non-organic, metal, and others. The system integrates an Arduino Mega for control, multiple proximity sensors (inductive, capacitive, and infrared), and ultrasonic sensors for level detection, and a NodeMCU ESP8266 for real-time monitoring via the Blynk platform. A total of 100 tests (25 per bin) were conducted. Classification success rates were 92% (metal), 80% (inorganic), 84% (organic), and 100% (others), resulting in an overall accuracy of 89%. The main contribution is a combined automatic sorting and IoT monitoring framework suitable for campus-scale deployment.
Capacitive Energy Storage (CES) Optimization For Load Frequency Control in Micro Hydro Power Plant Using Imperialist Competitive Algorithm (ICA) Djalal, Muhammad Ruswandi; Yunus, Muhammad; Imran, Andi; Setiadi, Herlambang
EMITTER International Journal of Engineering Technology Vol 5 No 2 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.913 KB) | DOI: 10.24003/emitter.v5i2.195

Abstract

This research will discuss a strategy of frequency control at micro hydro power plant using Capacitive Energy Storage (CES). CES is a device that can store and release energy quickly. To optimize CES performance, proper tuning is required to optimize CES performance. To obtain optimal CES parameter on micro hydro, artificial intelligence method based on Imperialist Competitive Algorithm (ICA) is used. Proportional Integral Derivative Controller (PID) is still a controller that can not be separated from the system, therefore in this research will be combined with CES as the main controller for frequency control on micro hydro. The simulation results show that the application of ICA in optimizing PID-CES parameters, can well improve micro hydro performance. The control models discussed in this research are Proportional Controller (P), Proportional Integral Controller (PI), Proportional Derivative Controller (PD), PID Controller, CES Controller and PID-CES Controller. From the simulation results obtained, P controller overshoot of -0.0001254, with PI Controller -0.000125, with PD Controller -0.0001252, with PID controller -0.0001249, with CES controller -0.0001224, and with PID-CES -1.371e-05. From the results of some of the controller models, it can be concluded that the PID-CES controller proposed in this study has a very significant effect to reduce the frequency oscillation in micro hydro, and it is very suitable to be applied for frequency control at micro hydro.
Co-Authors A. M. Shiddiq Yunus A. M. Shiddiq Yunus A.M Shiddiq Yunus Abraham, Richard Adnan Ainun Hasri Afdhal, Muhammad Ahmad Ilham, Amil Ahmad Rosyid Idris Ahmed Abu-Siada Akhmad Taufik Aksan, Ahmad Al Irsad, Muhammad Afif Al-Furqan, Muhammad Alkautsar, Rifaldi Almas Prakasa, Mohamad Andareas Pangkung Andareas Pangkung Andarini Asri Andi Imran Andi Wely Fauziah Apollo Apollo Apollo Apollo Apollo Apollo Apollo Apollo Ardaniah, Ardaniah Ardiansya Samsul, Vito Aulia, Dzacky Aulia, Gustav Awan Uji Krismanto Buana, Chandra Budiman Budisantoso Wirjodirdjo Candra Riawan, Dedet Caturindah, Winarty Chandra Bhuana Deum Patria F Abbas Dian, Faizal Dillah, Zahran Atha Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Lastomo, Dwi Dwi Syahimullah, Akzar Dwia Ayanis, Rifa Eddy Setyo Koenhardono, Eddy Setyo Ervina Nooraini Faisal Faisal Faisal Faisal Faisal Faisal Faisal Faisal Fayyad, Moh Firdaus Firdaus Firdaus, Aji Akbar Furqoan, Muhammad Ghazi, Argon Luthfan Golda Evangelista Patrix Hadi Suyono Haque, Gabriel Harus Laksana Guntur Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herlambang Setiadi Herman HR Herman HR Herman Nauwir Herman Nawir Herman Nawir Herman Nawir Herman Nawir, Herman Hidayat, Muh. Taufik Imam Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah, Hidayatul Himawari, Waseda HR, Herman HUTORO, KOKO I Nyoman Adi Putra Imam Robandi Imam, Muhammad Taufik Imron, Khafit Irsad, Muh. Afif Al Ismail, Haryono Jamal, M Fachmi Jelang Ramadhan, Muhammad Kadir, Nasrun Kumala, Arimbi La Ode Musa Lastomo, Dwi Lewi Lewi Machrus Ali Machrus Ali Mahdiah, Hakimah Makmur Saini Mallarangeng, Andi Marhatang Marhatang Maudini Maudini Mohamad Almas Prakasa Muchyiddin, Muhammad Imam Muh Amar Syarifuddin Muh. Ikhra Aliefka Putramardani Muh. Ilham, Andi Muh. Yusril Hamma Muhammad Aldy Rezaldy Muhammad Azhar Muhammad Aziz Muslim Muhammad Kurniawan Muhammad Sulfajar Mas’ud Muhammad Thalib Muhammad Yunus Muhammad Yunus Yunus, Muhammad Yunus Muhammad Yusuf Mappeasse Muhammad Yusuf Yunus Muhammad Yusuf Yunus Mukhtaram, Nurrafii Al MULKI, ABDUL MALIKIL Mursid, Muhammad Musrady Mulyadi Musrifinah, Musrifinah Musthofa, Arif Mustika Ayu Nahlah, Nahlah Nasrun Kadir Nasrun Kadir Nasrun Kadir Natha, Kanidra Nur Hamzah Nur Hamzah Nurul Andini PAISAL PAISAL Palantei, Elyas Prakasa, Mohamad Almas Purnama, Rahma Rahmat Rahmat Rahmat Rahmat Rahmat Rahmat Rahmat Rahmat Ramadhani, Akhmad Remigius Tandioga Ridho, Hasan Rony Seto Wibowo Rustang Rustang Saputra, Reki Aji Satria, Moch. Adri Serpian, Serpian Shiddiq Yunus, A.M Sianturi, Farhan Soedibyo Soedibyo Sonong Sudaryono, M Sula Cakra Buana, Arya Syam, Syahril Takdir, Ahmad Tangko, Jumadi Tasrif Tasrif Tazkiyatunnisa, Tazkiyatunnisa Usman Usman Usman Usman Vita Lystianingrum Yanuar Mahfudz Safarudin Yudhi Leo Chandra Yusril Has Barlian Yusuf Yunus, Muhammad Zahir, Ahmad Zaky Khalik, Fuad