Enhancing Small-signal Stability of Multimachine Power Systems under High Renewable Penetration Using the Pelican Optimization Algorithm International Journal of Intelligent Engineering and Systems, 2026 This study proposes a coordinated control strategy using the pelican optimization algorithm (POA) to enhance small-signal stability in a multimachine power system with high renewable energy penetration.The method optimizes the placement and tuning of static VAR compensators (SVC) and power system stabilizers (PSS) based on the dynamic characteristics of the southern sulawesi (Sulbagsel) system.Benchmark analyses confirm that POA provides superior convergence and accuracy compared to particle swarm optimization, firefly algorithm, hippopotamus algorithm, and whale optimization algorithm under various operating conditions.The optimized SVC reduces transmission losses and improves bus voltage profiles, while the POA-tuned PSS significantly enhances damping ratios, shifts eigenvalues toward stable regions, and improves transient responses under wind power disturbances.Time-domain simulations show notable reductions in overshoot and settling time, demonstrating POA's effectiveness in mitigating electromechanical oscillations across multiple scenarios.Overall, the proposed approach substantially strengthens system stability and reliability under increasing renewable penetration.
Design and implementation of an internet of things-based automatic waste sorting system Akhmad Taufik, Paisal Paisal, Muhammad Ruswandi Djalal, Zahran Atha Dillah, Haryono Ismail International Journal of Advances in Applied Sciences, 2025 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.
Stability improvement of the large-scaled JAMALI power electricity system of Indonesia by using power system stabilizer based on electric Eel foraging optimization Imam Robandi, Nien-Che Yang, Mohamad Almas Prakasa, Khafit Imron Muzaki, Moh. Imam Muchyiddin, Muhammad Ruswandi Djalal, Akhmad Ramadhani Results in Engineering, 2025 As one of the large-scaled power electricity systems in Indonesia, the stability of the Jawa-Madura-Bali (JAMALI) power electricity system is crucial to ensure secure operation, especially during dynamic disturbances. In the modern era, the Power System Stabilizer (PSS) optimization by using Artificial Intelligence (AI) becomes a viable option to mitigate this problem. In this paper, an innovative AI optimization for PSS is proposed, ensuring simplicity, scalability, and compliance with the grid codes. For the first time, Electric Eel Foraging Optimization (EEFO) is introduced to calculate the global PSS parameters based on various performance indicators as objective functions, featuring IAE, ITAE, ISE, and ITSE. Based on the convergence curve analyses within 30 runs and 100 iterations for each objective function, EEFO is 9.38 %, 17.14 %, 21.62 %, and 30.95 % faster than Puma Optimizer, Evolutionary Mating Algorithm, Particle Swarm Optimization, and Genetic Algorithm, respectively. EEFO has also produced 5.64 % to 13.2 % and 3.94 % to 8.09 % better accuracy and consistency than the compared algorithms. Additionally, phase and eigenvalue analyses have been conducted to validate the EEFO-based PSS compliance with the damping ratio in the Indonesian grid codes. The best damping ratio of EEFO-based PSS is achieved by using ITAE as the objective function of 0.41, followed by ISE, IAE, and ITSE of 0.39, 0.38, and 0.37, respectively. For responses (frequency, power angle, and voltage) in different dynamic disturbances, the best improvement regarding the oscillations (undershoot, overshoot, and peak-to-peak) is achieved by EEFO-based PSS with ISE, while the best settling time improvement is achieved by EEFO-based PSS with ITAE. Thus, wider preferences are provided by the use of various performance indicators as objective functions in PSS optimization cases.
Improving the Energy Management System with the Interval Type-2 Fuzzy Inference System – Zebra Optimization Algorithm (IT2FIS-ZOA) for Predicting the Load Consumption of Healthcare Facilities in National Holiday Season Akhmad Ramadhani, Imam Robandi, Muhammad Ruswandi Djalal, Mohamad Almas Prakasa Engineering Technology and Applied Science Research, 2025 The improvement of Energy Management System (EMS) with a load consumption prediction feature is essential to the uninterrupted operation of medical equipment in healthcare facilities, such as hospitals. Accurately predicting their energy consumption demands leads to effective energy management. Additionally, the load consumption prediction is essential to achieve the energy-saving goals in the construction sector. This paper aims to improve the EMS of the Ulin Regional Public Hospital, one of the largest hospitals in South Kalimantan of Indonesia, by utilizing the Interval Type-2 Fuzzy Inference System – Zebra Optimization Algorithm (IT2FIS-ZOA) to predict the load consumption during the national holiday season. The IT2FIS-ZOA will enhance the exploration and exploitation processes to provide more accurate results. The load demand prediction is conducted based on the historical data of the Ulin Regional Public Hospital during 14 previous national holidays between 2020 and 2022. The accuracy of IT2FIS-ZOA is validated through a comparison of the prediction with actual data from 2023. Furthermore, IT2FIS-ZOA performance is compared to the Big Bang-Big Crunch Algorithm (BBBC), Firefly Algorithm (FA), and Cuckoo Search Algorithm (CSA). The findings indicate that the most accurate load consumption prediction is obtained from IT2FIS-ZOA with the lowest Mean Absolute Percentage Error (MAPE) of 2.49%, compared to a Fuzzy Type-1 of 2.74%, Fuzzy Type-2 of 2.55%, IT2FIS-BBBC of 3.91% , IT2FIS-FA of 2.51%, and IT2FIS-CSA of 2.50%. The results demonstrate the superiority of IT2FIS-ZOA in improving the EMS of the Ulin Regional Public Hospital.
Coordinated Design of Power System Stabilizer and Virtual Inertia Control Using Modified Harris Hawk Optimization for Improving Power System Stability Mohamad Almas Prakasa, Imam Robandi, Alberto Borghetti, Muhammad Ruswandi Djalal, Waseda Himawari IEEE Access, 2025 In the current era, power system stability faces typical problems due to the Renewable Energy Sources (RES) integration trend. This trend makes the coordination between power system controllers crucial to maintain stability across a wide-range of operating behaviors. To address this problem, this paper proposes the coordinated design of Power System Stabilizer and Virtual Inertia Control (PSS-VIC) to improve the stability of the power system integrated with RES. The proposed method uses the modified version of Harris Hawk Optimization with Memory Saving Strategy (HHO-MSS) to find the equilibrium point of global parameters of PSS-VIC through various simulations to ensure scalability. In this proposed method, PSS is focused on increasing the power system stability from the traditional generator sides with diesel engines, thermal, and hydro turbines. Meanwhile, the modified VIC design is proposed to increase the power system stability from the RES sides using virtual inertia emulation with the integration of wind generators, solar photovoltaic units, and energy storage systems. The global parameters of PSS-VIC are determined by calculating the optimal damping ratio which is permitted by grid codes alongside various stability criteria validation. Based on the obtained results, HHO-MSS is 1.44% to 9.28% more accurate and 34.63% to 53.94% more consistent than Electric Eel Foraging Optimization (EEFO), and Puma Optimizer (PO), Evolutionary Mating Algorithm (EMA). With the optimal damping ratios of 9.94% to 9.96% achieved by HHO-MSS, the overall power system stability improvements, including both local and interarea responses across 38 simulations involving sudden load changes, varying inertia, and different RES levels, are as follows: 41.17% to 70.89% frequency nadir improvement, 25.9% to 67.38% power angle deviation improvement, 84.83% to 85.26% settling time reduction, and 51.57% to 89.73% average error reduction calculated with performance indices. The proposed coordinated PSS-VIC design offers excellent scalability and can effectively improve power system stability across a wide-range of operating conditions.
Modelling and Simulation of GPS-Assisted Underground Cable Fault Detection Based on Traveling Waves and Artificial Neural Networks Shija Fukku Mashiku, Imam Robandi, Daniar Fahmi, Mohamad Almas Prakasa, Muhammad Ruswandi Djalal Proceedings of 2025 5th International Conference on High Voltage Engineering and Power Systems Ichveps 2025, 2025 This paper presents a GPS-aided fault detection system specifically designed for underground and marine HighVoltage (HV) cables, addressing the significant challenges posed by their inaccessibility. The system utilizes travelling waves and Artificial Neural Networks (ANNs) to accurately locate faults and determine the burial depth of the cables. It calculates the distance to a fault point from known measurement locations by analyzing high-frequency transient signals generated during faults, primarily employing the Time Difference of Arrival (TDOA) method. Simulations conducted in MATLAB/Simulink across various fault scenarios validate the system’s performance, achieving a localization accuracy with an error margin below 1%. This represents a substantial improvement over conventional fault localization methods, which typically exhibit error ranges between 5% and 10%. The incorporation of ANN not only increases the accuracy of fault detection but also eliminates the need for manual measurements, thereby streamlining maintenance and repair tasks. Overall, the system demonstrates a fault localization accuracy improvement of at least 4% compared to traditional approaches.
An Optimal Design of Virtual Inertia Controller in Various Energy Storage for Improving Power System Stability under Fluctuating Renewable Energies International Journal of Intelligent Engineering and Systems, 2025 This paper proposes a modified design of Virtual Inertia Controller (VIC), accommodating more representative integration with Energy Storage (ES) and Renewable Energy (RE) for precise VI emulation based on the fluctuating RE.A comparison of various ES with different power and energy densities for supporting VIC, featuring Battery ES (BES), Capacitor ES (CES), and Superconducting Magnetic ES (SMES), is demonstrated.To ensure scalability, the modified VIC for various ES is optimized using Harris Hawk Optimization with Memory Saving Strategy (HHO-MSS) to follow the damping ratio of the grid code.HHO-MSS is 5.92% to 10.95% better than Chameleon Swarm Algorithm, Orangutan Optimization Algorithm, and Komodo Mlipir Algorithm.The modified VIC is 17.21% to 24.62% better than the basic VIC in enhancing frequency nadir and rate of change of frequency, and reducing electrical power losses.For fluctuating RE, BES with energy density advantage is better than SMES and CES for supporting VIC.
Optimal Economic Dispatch Using Mayfly Optimization Algorithm in Sulbagsel Electricity System with Integrated Renewable Energy Sources International Journal of Intelligent Engineering and Systems, 2025 This study focuses on optimizing generation costs for thermal power plants in the Southern Sulawesi (Sulbagsel) electricity system by incorporating Renewable Energy Sources (RESs).The Improved Mayfly Algorithm (IMA), inspired by the mating and flight behaviors of adult mayflies and enhanced with Exponent Decreasing Inertia Weight (EDIW) to adjust inertia variations, is applied to minimize generation costs.The effectiveness of the proposed IMA is evaluated through comparisons with other methods, such as the Quadratic Time Optimization (QTO) and the standard MA.Statistical analysis of the benchmarking results demonstrates that IMA outperforms comparable other algorithms.For the first case, mid-day peak load, the optimization results show that QTO reduces costs by 24.24%, MA by 24.25%, and the proposed IMA by 24.28%.In the second case, nighttime peak load, the cost reductions achieved are 25.96% for QTO, 26.28% for MA, and 26.72% for IMA.
Monitoring and Identification Electricity Load Using Artificial Neural Network Machrus Ali, Muhammad Ruswandi Djalal, Saiful Arfaah, Muhlasin, Muhammad Fakhrurozi, Ruslan Hidayat 7th International Conference on Electrical Electronics and Information Engineering Technological Breakthrough for Greater New Life Iceeie 2021, 2021
Modal analysis and stability enhancement of 150 kV sulselrabar electrical system using PSS and RFB based on cuckoo search algorithm Department of Mechanical Engineering, State Polytechnic of Ujung Pandang, Makassar, Indonesia, Muhammad Ruswandi Djalal, Herlambang Setiadi, School of Information Technology & Electrical Engineering, The University of Queensland Brisbane, Australia, Dwi Lastomo, Department of AutomationElectrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, Muh. Yusuf Yunus, PUI - PT Mechatronics, Industrial Automation, Research Center Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia International Journal on Electrical Engineering and Informatics, 2017
Hybrid Fuzzy Logic System and Pattern Search Algorithm (FLS-PSA) for Hospital Electricity Cost Prediction Considering Patient Visit and Ambient Temperature. A Ramadhani, MA Prakasa, MR Djalal, D Sutrisno, MA Fauzi, ... International Journal of Intelligent Engineering & Systems 19 (5), 730 , 2026 2026
Rancang Bangun dan Pelatihan Pembangkit Listrik Tenaga Surya Mini di SMK Muhammadiyah 1 Ngoro untuk Meningkatkan Kesadaran Energi Bersih dan Berkelanjutan I Robandi, RS Wibowo, NK Aryani, MA Prakasa, MR Djalal, IH Kurniawan, ... Sewagati 10 (2), 324-336 , 2026 2026
Enhancing Small-signal Stability of Multimachine Power Systems under High Renewable Penetration Using the Pelican Optimization Algorithm. MR Djalal, N Hamzah, M Saini, AM Shiddiq Yunus International Journal of Intelligent Engineering & Systems 19 (3) , 2026 2026
Implementasi Trainer Pembangkit Listrik Tenaga Surya Berbasis Internet of Things Sebagai Media Pembelajaran Di SMK Negeri 4 Kabupaten Soppeng MR Djalal, S Serpian, M Mulyadi, U Usman, F Faisal, I Robandi, ... Sewagati 9 (6), 1461-1472 , 2025 2025
PKM PENERANGAN MENGGUNAKAN PLTS PADA PINTU AIR SALURAN IRIGASI TERSIER DI DESA BANGUN JAYA KABUPATEN LUWU TIMUR C Buana, S Suryanto, MR Djalal, S Abadi, S Sonong, LO Musa, ... Seminar Nasional Hasil Penelitian & Pengabdian Kepada Masyarakat (SNP2M) 9 … , 2025 2025
Penerapan Pompa Air Tenaga Surya Untuk Irigasi Pertanian Pada Kelompok Tani Kelapa Muda Di Kampung Kaluku, Bantaeng A Imran, A Sabril, AA Mattunruang, MR Djalal Jurnal Abdimas Indonesia 5 (4), 3078-3083 , 2025 2025
Optimasi Pembangkitan Ekonomis Berbasis Whale Optimization Algorithm Pada Sistem Multimesin H Nurohmah, ASC Buana, R Rukslin, M Ali, MR Djalal Jurnal FORTECH 6 (2), 70-79 , 2025 2025
Modelling and Simulation of GPS-Assisted Underground Cable Fault Detection Based on Traveling Waves and Artificial Neural Networks SF Mashiku, I Robandi, D Fahmi, MA Prakasa, MR Djalal 2025 5th International Conference on High Voltage Engineering and Power … , 2025 2025
Stability improvement of the Large-Scaled JAMALI power electricity system of Indonesia by using power system stabilizer based on electric eel foraging optimization I Robandi, NC Yang, MA Prakasa, KI Muzaki, MI Muchyiddin, MR Djalal, ... Results in Engineering 27, 105727 , 2025 2025 Citations: 4
Improving the Energy Management System with the Interval Type-2 Fuzzy Inference System–Zebra Optimization Algorithm (IT2FIS-ZOA) for Predicting the Load Consumption of … A Ramadhani, I Robandi, MR Djalal, MA Prakasa Engineering, Technology & Applied Science Research 15 (4), 25878-25888 , 2025 2025 Citations: 2
Mixed-Integer Linear Programming for Optimal Operation of Integrated Electricity and Natural Gas System Considering Take or Pay Agreements E Nooraini, MA Prakasa, MR Djalal, RS Wibowo, I Robandi JUTI: Jurnal Ilmiah Teknologi Informasi, 32-47 , 2025 2025 Citations: 2
Analysis of the Effect of Using B30 Fuel on the Performance of the DEUTZ BV 8M 628 Engine in Unit 5 of the Diesel Power Plant Selayar F Firman, H Nawir, N Hamzah, M Anshar, MR Djalal, S Bestry 10th International Conference on Science and Technology (ICST 2024), 340-348 , 2025 2025
Integration of On-Grid Solar Photovoltaic Systems for Electric Motorcycle Battery Swap Stations MR Djalal, N Rahmah, AMS Yunus, HM Basir, AM Fachrezy, PR Matajang, ... INTEK: Jurnal Penelitian 12 (1), 58-64 , 2025 2025
Desain Optimal PID-SSSC Menggunakan Particle Swarm Optimization pada Single Machine Infinite Bus N Kadir, MR Djalal MEDIA ELEKTRIKA Учредители: LPPM Universitas Muhammadiyah Semarang 17 (2), 106 , 2025 2025
Optimalisasi Desain PLTS Hybrid Untuk Efisiensi Energi Pada Gedung Teknologi Rekayasa Energi Terbarukan MR Djalal, M Marhatang, AD Syahimullah, VA Syamsul Jurnal Teknik Mesin Sinergi 23 (2), 314-320 , 2025 2025
An Optimal Design of Virtual Inertia Controller in Various Energy Storage for Improving Power System Stability under Fluctuating Renewable Energies MA Prakasa, MTI Hidayat, FD Pramudhita, MA Al Irsad, MR Djalal, ... International Journal of Intelligent Engineering and Systems 18 (9), 462-476 , 2025 2025 Citations: 2
Peningkatan Kestabilan Sistem Kelistrikan Sulselrabar Akibat Penetrasi Energi Terbarukan Berbasis Model Kecerdasan Buatan MR Djalal Institut Teknologi Sepuluh Nopember , 2025 2025
Short-Term Peak Load Forecasting Using Interval Type-2 Fuzzy Logic-Horse Herd Optimization Algorithm in Sulbagsel Electricity System. I Robandi, RN Hasanah, YS Akil, HL Guntur, V Lystianingrum, MR Djalal, ... International Journal of Intelligent Engineering & Systems 18 (1) , 2025 2025 Citations: 2
Optimal Economic Dispatch Using Mayfly Optimization Algorithm in Sulbagsel Electricity System with Integrated Renewable Energy Sources. RN Hasanah, I Robandi, HL Guntur, MR Djalal, MA Prakasa, W Himawari International Journal of Intelligent Engineering & Systems 18 (1) , 2025 2025 Citations: 5
Implementasi Trainer PLTS sebagai Media Pembelajaran di SD Muhammadiyah 4 Surabaya I Robandi, HL Guntur, B Wirjodirdjo, MR Djalal, MA Prakasa, ... Sewagati 8 (6), 2466-2476 , 2024 2024 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Desain optimal kontroler PID motor DC menggunakan cuckoo search algorithm RD Muhammad, A Dwi, I Andi, R Imam Seminar Nasional Teknologi Informasi dan Aplikasinya 7 (1) , 2015 2015 Citations: 53
Optimal placement and tuning power system stabilizer using Participation Factor and Imperialist Competitive Algorithm in 150 kV South of Sulawesi system MR Djalal, A Imran, I Robandi 2015 International Seminar on Intelligent Technology and Its Applications … , 2015 2015 Citations: 52
Optimal Design Power System Stabilizer Using Firefly Algorithm in Interconnected 150 kV Sulselrabar System, Indonesia MY Yunus, MR Djalal, M Marhatang International Review of Electrical Engineering (IREE) 12 (3), 250-259 , 2017 2017 Citations: 50
Modal analysis and stability enhancement of 150 kV Sulselrabar electrical system using PSS and RFB based on cuckoo search algorithm RD Muhammad, S Herlambang, L Dwi, YY Muhammad International Journal on Electrical Engineering and Informatics 9 (4), 800-812 , 2017 2017 Citations: 40
Stability enhancement of sulselrabar electricity system using mayfly algorithm based on static var compensator and multi-band power system stabilizer PSS2B MR Djalal, I Robandi, MA Prakasa IEEE Access 11, 57319-57340 , 2023 2023 Citations: 36
Optimal design capacitive energy storage (CES) for load frequency control in micro hydro power plant using flower pollination algorithm M Ali, MR Djalal, M Fakhrurozi, D Ajiatmo 2018 Electrical Power, Electronics, Communications, Controls and Informatics … , 2018 2018 Citations: 35
Enabling PID and SSSC for load frequency control using Particle Swarm Optimization D Lastomo, H Setiadi, MR Djalal 2017 3rd International Conference on Science in Information Technology … , 2017 2017 Citations: 30
Optimization pitch angle controller of rocket system using improved differential evolution algorithm L Dwi, S Herlambang, RD Muhammad International Journal of Advances in Intelligent Informatics 3 (1), 27-34 , 2017 2017 Citations: 30
Small-Signal-Stability Enhancement using a Power-System Stabilizer based on the Cuckoo-Search Algorithm against Contingency N-1 in the Sulselrabar 150-kV System MY Yunus Makara Journal of Technology , 2018 2018 Citations: 29
Frequency stability improvement of micro hydro power system using hybrid SMES and CES based on Cuckoo search algorithm MR Djalal, H Setiadi, A Imran Journal of Mechatronics, Electrical Power, and Vehicular Technology 8 (2), 76-84 , 2017 2017 Citations: 29
Optimization of SMES and TCSC using particle swarm optimization for oscillation mitigation in a multi machines power system L Dwi, S Herlambang, RD Muhammad Journal of Mechatronics, Electrical Power, and Vehicular Technology 8 (1), 11-21 , 2017 2017 Citations: 28
Determination of the parameters of the firefly method for PID parameters in solar panel applications A Machrus, S Hadi, AM Muhammad, RD Muhammad, M Yanuar, AFI Aji SINERGI 26 (2) , 2022 2022 Citations: 26
Pemanfaatan Limbah Eceng Gondok Sebagai Energi Biogas Dengan Menggunakan Digester: Utilization of Hyacinth Waste As Biogas Energy Using Digester H Nawir, MR Djalal, A Apollo JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 2 (2), 56-63 , 2018 2018 Citations: 26
Rancang Bangun Sistem Pentanahan Penangkal Petir Pada Tanah Basah dan Tanah Kering pada Laboratorium Teknik Konversi Energi: Design of Ground Lightning Protection System in Wet … H Nawir, MR Djalal, S Sonong JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 2 (2), 1-39 , 2018 2018 Citations: 25
Aplikasi Modified-Imperialist-Competitive-Algorithm (MICA) Untuk Merekonfigurasi Jaringan Radial Tenaga Listrik Pada Penyulang Mojoagung: Modified-Imperialist-Competitive … M Ali, D Ajiatmo, MR Djalal JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 1 (2), 49-53 , 2017 2017 Citations: 25
PKM perguruan tinggi di dalam pembuatan dan manajemen open journal system (OJS) AMS Yunus, S Abadi, C Bhuana, MR Djalal Seminar Nasional Hasil Penelitian & Pengabdian Kepada Masyarakat (SNP2M) 3 … , 2018 2018 Citations: 24
A hybrid controlling parameters of power system stabilizer and virtual inertia using Harris hawk optimizer in interconnected renewable power systems MA Prakasa, I Robandi, R Nishimura, MR Djalal IEEE Access 12, 76219-76243 , 2024 2024 Citations: 23
Capacitive energy storage (CES) optimization for load frequency control in micro hydro power plant using imperialist competitive algorithm (ICA) MR Djalal, M Yunus, A Imran, H Setiadi EMITTER International Journal of Engineering Technology 5 (2), 279-297 , 2017 2017 Citations: 23
Desain Frekuensi Kontrol pada Hibrid Wind-Diesel Dengan PID–Imperialist Competitive Algorithm (ICA) H Nurohmah, M Ali, MR Djalal Jurnal Intake: Jurnal Penelitian Ilmu Teknik dan Terapan 6 (2), 108-115 , 2015 2015 Citations: 22
A new scheme of Harris hawk optimizer with memory saving strategy (HHO-MSS) for controlling parameters of power system stabilizer and virtual inertia in renewable microgrid … MA Prakasa, I Robandi, R Nishimura, MR Djalal IEEE Access 12, 73849-73878 , 2024 2024 Citations: 21
INDUSTRY EXPERIENCE
PT. Mitra Usaha Teknik, Electrical Engineer, 2007
PT. Barawaja, Electrical Engineer, Jan 2008-Okt 2010
