Muhammad Ruswandi Djalal

@poliupg.ac.id



                    

https://researchid.co/wandy7kun

FUTURE PROJECTS

Power System Dynamics and Stability


Applications Invited

Renewable Energy


Applications Invited

Metaheuristic Algorithm & Control System


Applications Invited
71

Scopus Publications

1237

Scholar Citations

20

Scholar h-index

38

Scholar i10-index

Scopus Publications



  • 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, and Waseda Himawari
    Institute of Electrical and Electronics Engineers (IEEE)
    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.

  • Stability Improvement of Sulbagsel Electricity System Integrated Wind Power Plant Using SVC-PSS3C Based on Improved Mayfly Algorithm
    Imam Robandi, Syafaruddin, Rini Nur Hasanah, Harus Laksana Guntur, Vita Lystianingrum, Muhammad Ruswandi Djalal, Mohamad Almas Prakasa, and Waseda Himawari
    Elsevier BV

  • Novel hybrid arithmetic-equilibrium optimizer as robust tuner for power system stabilizer (PSS) parameters in interconnected electrical power system
    Imam Robandi, Mohamad Almas Prakasa, Muhammad Ruswandi Djalal, Shigemasa Takai, Arimbi Kumala Sari, and Mochammad Adri Satria Musti
    Elsevier BV


  • Development of automatic transfer switch design in hybrid solar power system
    Marhatang Marhatang, Muhammad Ruswandi Djalal, Andreas Pangkung, and Sonong Sonong
    AIP Publishing

  • SMES installation study on wind turbine based on ant colony optimization under load shedding condition
    A. M. Shiddiq Yunus, Makmur Saini, and Muhammad Ruswandi Djalal
    AIP Publishing

  • Stability of Water Flow in Tanks Using Particle Swarm Optimization (PSO) Method
    Markhaban Siswanto, Machrus Ali, Muhammad Agil Haikal, Slamet Wahyudi, Soedarsono, and Muhammad Ruswandi Djalal
    EDP Sciences
    The stability of the speed and pressure of the water flow is determined by the height and volume of the water. The speed of water flow in the actuator is determined by the use of this flow sensor system. A good tank-based water flow control model must be developed. At a certain point, the actuator stabilizes the water production rate per minute. Therefore, it is necessary to develop automatic and precise control techniques. Many Artificial Intelligence (AI) methods are used in system optimization. Among them are the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO). In this research, conventional methods, Auto tuning methods, and PSO methods are used. The PSO method produces better optimization compared to the previous method. The water flow stability indicator in this simulation is shown by the size of the overshot and undershot values for each method. The best water level control simulation results are the PSO method with the smallest overshot value of 0.0333 pu, the smallest undershot value of 0.0347 pu, and the output flow results have the smallest overshot value of 0.0013 pu, the smallest undershot value of 0.0011 pu.

  • Hybrid Tuning for Parameters of Power System Stabilizer and Virtual Inertia Based on Super Conducting Magnetic Energy Storage Using Gravitational Search Algorithm
    Faizal Dian Pramudhita, Imam Robandi, Ardyono Priyadi, Mohamad Almas Prakasa, and Muhammad Ruswandi Djalal
    IEEE
    This research aims to improve the stability of the power system due to low-frequency oscillations by hybrid tuning of Power System Stabilizer (PSS) and Virtual Inertia Control (VIC) based on Superconducting Magnetic Energy Storage (SMES). The Integral Absolute Time Error (ITAE) was chosen as objective function to be minimized through the Gravitational Search Algorithm (GSA). The proposed method was implemented in Single Machine Infinite Bus (SMIB) system integrated with Photovoltaic (PV). In high inertia scenarios, the optimal parameter of PSS-VIC by GSA is effective to suppress rotor speed oscillations and provides faster settling time with undershoot reduced by 15.31% and overshoot reduced by 68.18%. In medium inertia scenarios, the PSS-VIC combination achieves reduction in undershoot by 23.86% and overshoot by 58.56%. Moreover, GSA shows superior performance compared to PSO for tuning PSS-VIC with GSA achieving better ITAE by 19.98% in high inertia scenario and by 7.13% in medium inertia scenario.

  • Optimal Design of PSS-FACTS Using Craziness Particle Swarm Optimization in SMIB System
    Muhammad Ruswandi Djalal, Makmur Saini, and A.M. Shiddiq Yunus
    IEEE
    Changes in load cause oscillations in the generator, resulting in fluctuations in frequency and rotor angle. Additional control equipment is essential to enhance the stability of a generator, especially during load changes. While the Static Synchronous Series Compensator (SSSC) is a Flexible Alternating Current Transmission System (FACTS) power electronics device used to enhance power system stability and control, the Power System Stabilizer (PSS) is a controller that can supply additional damping signals to the generator. Proper coordination is crucial to achieve optimal performance from PSS and SSSC. In this research, we propose an artificial intelligence-based optimization method known as the Craziness Particle Swarm Optimization (CRPSO) method. The performance of CRPSO was evaluated using the Particle Swarm Optimization (PSO) method. Furthermore, the effectiveness of PSS-SSSC in this research was tested on a Single Machine Infinite Bus (SMIB) system. Analysis results indicate that implementing CRPSO-based PSS-SSSC provides optimal results for enhancing SMIB performance, particularly during load changes. Optimization results demonstrate that CRPSO outperforms conventional PSO, yielding a minimum fitness function of 0.01090 compared to PSO's 0.01117. The CRPSO computing process converges more quickly in optimizing PSS-SSSC parameters, determining optimal controller parameters in just 11 iterations, while PSO requires 24 iterations. The combination of PSS-SSSC controllers provides optimal stability to the SMIB system, effectively dampening overshoot oscillations that may occur during load changes.

  • FACTS: SVC Optimization for Optimal Power Flow Using Craziness Particle Swarm Optimization in Sulselrabar System
    Makmur Saini, Muhammad Ruswandi Djalal, and A.M. Shiddiq Yunus
    IEEE
    This paper explores the influence of Flexible AC Transmission System (FACTS) devices on the optimization problem of Optimal Power Flow (OPF). It employs the Craziness Particle Swarm Optimization (CRPSO) technique to address the OPF problem and determine optimal parameter configurations and allocation of FACTS devices, focusing on optimizing bus voltages and minimizing power losses in transmission lines. To assess CRPSO's accuracy, a conventional PSO comparison method is utilized. The FACTS device examined in this study is the Static Var Compensator (SVC), applied to the Sulselrabar multimachine system. The analysis evaluates the enhancement of voltage profiles at each bus and the reduction of losses in transmission lines. Results from PSO optimization indicate optimal placement and sizing of the SVC at bus 31, with a rating of 40 MVar, while the proposed CRPSO method suggests a rating of 80 MVar. Optimization outcomes demonstrate that CRPSO outperforms conventional PSO, as evidenced by superior fitness function minimization and faster computation. Installing the SVC leads to improved voltage profiles and decreased power losses in transmission lines.

  • Optimal Tuning of Power System Stabilizer and Virtual Inertia Control Based On Black Widow Optimization Algorithm
    M. Taufik Imam Hidayat, Imam Robandi, Rony Seto Wibowo, Mohamad Almas Prakasa, and Muhammad Ruswandi Djalal
    IEEE
    The power system integrated with Photovoltaic (PV) is considered as a low inertia system. In low inertia system, the dynamic stability due to the Low Frequency Oscillation (LFO) caused by small load changes are harder to dampen. This paper presents dynamic stability improvement of the power system integrated with PV by optimal tuning of Power System Stabilizer and Virtual Inertia Control (PSS-VIC) based on Black Widow Optimization Algorithm (BWOA). Besides that, the Supercapacitor Energy Storage (SCES) is dispatched as inertia emulator on the VIC scheme. The optimal parameters for PSS-VIC are achieved by minimizing the Integral Time Absolute Error (ITAE) as an objective function of BWOA. The simulation results justify that PSS-VIC provides the most effective solution to dampen LFO compared to PSS or VIC only. The effectiveness of PSS-VIC is validated in high and low inertia conditions. In high inertia condition, the combined PSS-VIC has reduced the overshoot by 98.75%, a frequency nadir is also improved by 47.47%, and a settling time by 1.927 s. In the low inertia conditions, the combined PSS-VIC has significantly reduced the overshoot, improve the frequency nadir by 55.83%, and achieved the quickest settling time of 1.596 s.

  • Modeling of Power Management Systems for Healtcare Facilities Using Hybrid Fuzzy-Particle Swarm Optimization: A Case Study of Ulin Hospital
    Akhmad Ramadhani, Imam Robandi, Muhammad Ruswandi Djalal, and Mohamad Almas Prakasa
    IEEE
    Healthcare facilities are known for their intricate energy systems and their significant energy consumption. Therefore, they serve as key areas for achieving the energy conservation goals in the building sector. Accurately forecasting hospital energy consumption loads is critical for successful energy management in healthcare buildings. This paper presents a Modeling Power Management System to numerically model the electrical consumption of Healthcare Facilities (such as Ulin General Hospital, a part of the South Kalimantan Government's Indonesian hospital network), alongside the application of such models to Power Management Systems. This study employs a Fuzzy Logic technique for forecasting electrical energy consumption and cost estimation, specifically applied to hospitals. The fuzzy-based-system, as a form of Artificial Intelligence, is utilized to analyze data collected by Power Management Systems. This system can be employed to predict power usage, for example, where one of the inputs used as a parameter aligns with hospital characteristics such as patient visit data, temperature, and daily electricity consumption. The fuzzy logic techniques employed include Fuzzy Type-1, FuzzyParticle Swarm Optimization (PSO), and Fuzzy-Sealed Annealing (SA) for electrical energy consumption forecasting. This approach demonstrates significant improvements over traditional methods and provide a potential model for broader applications in healthcare energy management. These results suggest that the fuzzy-PSO method is more accurate in forecasting power consumption at Ulin Hospital, Indonesia, compared to the other evaluated methods. The smallest Mean Absolute Percentage Error (MAPE) value using the fuzzy-PSO method for Peak Load Time (WBP) is 10.97%, the MAPE value with fuzzy-SA is 17.51%, and the MAPE value with fuzzy Type1 is 21.75%.


  • Utilizing PVSyst for planning a hybrid system rooftop solar power plant at Makassar Eye Hospital
    Sonong Sonong, A.M. Shiddiq Yunus, Muhammad Ruswandi Djalal, Farhan Sianturi, Rahma Purnama, and Ahmad Takdir
    Universitas Mercu Buana
    Installing rooftop Solar Power Plants (SPP) represents the most efficient solution for reducing substantial electricity consumption in office buildings and hospitals, as Makassar Eye Hospital exemplifies. The research commences by addressing concerns about electricity availability and daily usage at the hospital while evaluating the solar radiation potential. Subsequently, the development of the SPP system begins. A location assessment is conducted using various tools to gather the necessary data for SPP design. In this study, the planning phase involves the utilization of PVSyst software for the technical analysis of electrical energy generation and system performance calculations. Additionally, the economic analysis includes evaluating the initial investment costs for establishing the SPP and considering prevailing market prices for components. The feasibility of the SPP investment is determined by calculating key financial metrics, including the Payback Period (PP), Net Present Value (NPV), Internal Rate of Return (IRR), Profitability Index (PI), and Return on Investment (ROI). According to the economic analysis findings, the initial investment cost for the SPP amounts to Rp. 544.031.733. The energy production value per kilowatt-hour (kWh) stands at Rp. 1.278, resulting in a Payback Period (PP) of 13,8 years, a Net Present Value (NPV) of Rp. 138.182.638, an Internal Rate of Return (IRR) of 11.51%, and a Return on Investment (ROI) of 25.4%. These results affirm the plan's feasibility, as the IRR value surpasses the Discount Rate (8.43%).



  • Optimization of Rotation Speed and Casting Temperature in the Centrifugal Casting of Aluminum Alloy ADC12 Using Response Surface Methodology (RSM)
    Syaharuddin Rasyid, Pria Gautama, Muhammad Ruswandi Djalal, and Uswatul Hasanah Mihdar
    Praise Worthy Prize

  • Application of Water Tube Filling Pump in Hybrid System of Solar Energy and PLN
    Sri SUWASTI
    Wydawnictwo SIGMA-NOT, sp. z.o.o.
    . The objective of this research is to develop a water cylinder filling pump integrated with a hybrid solar and grid (PLN) system. The performance of the pump is calculated to enable a comparative analysis with the energy and economic aspects of PLN and solar panels. The methodology involves a literature study to explore relevant topics, followed by the design phase, encompassing the fundamental aspects of tool design, manufacturing



  • A Hybrid Controlling Parameters of Power System Stabilizer and Virtual Inertia Using Harris Hawk Optimizer in Interconnected Renewable Power Systems
    Mohamad Almas Prakasa, Imam Robandi, Ryo Nishimura, and Muhammad Ruswandi Djalal
    Institute of Electrical and Electronics Engineers (IEEE)
    A hybrid controlling method for stability controllers is needed in the interconnected renewable power systems due to the working conditions being diverse from low to high levels of Renewable Energy Sources (RES). Power System Stabilizer and Virtual Inertia (PSS-VI) are viable to provide a wider enhancement effect in the stability. This paper proposes a new approach to enhance the stability of interconnected renewable power systems by hybrid controlling parameters of PSS-VI. A robust optimizer based on Harris Hawk Optimizer (HHO) is formulated. Interconnected renewable power systems are modeled based on multi-area power systems with different energy resources, including conventional generators, Solar Power Generation (SPG), and Wind Power Generation (WPG). Besides that, the Battery Storage System (BSS) is also dispatched to realize the virtual inertia emulation. The optimal parameters by HHO are compared with the other recent novel algorithms. The optimal controlling parameters of PSS-VI by HHO in interconnected renewable power systems performed in low to high RES conditions. Based on the convergence curve analysis, HHO conducts the best fitness value with faster iterations than the compared algorithm. The results of hybrid controlling parameters by HHO can significantly suppress the Rate of Change of Frequency (RoCoF) by 5.99% and 4.89% in low-RES and high-RES conditions, respectively. Moreover, the hybrid controlling parameters for PSS-VI offer smoother response and transition in frequency and inter-area power exchange responses.

  • Stability Improvement of Sulselrabar System With Integrated Wind Power Plant Using Multi-Band PSS3C Based Mayfly Optimization Algorithm
    Muhammad Ruswandi Djalal, Imam Robandi, and Mohamad Almas Prakasa
    Institute of Electrical and Electronics Engineers (IEEE)
    The introduction of additional controllers is essential in modern electric power systems to enhance their stability, particularly during disturbances. One effective method is the implementation of power system stabilizers (PSS). However, precise coordination of PSS equipment is necessary to determine the optimal locations and parameters. This study focuses on the optimal analysis of Multi-Band PSS3C (MB-PSS3C) coordination in integrated Wind Power Plant (WPP) systems in South, Southeast, and West Sulawesi (Sulselrabar). An artificial intelligence approach, utilizing the Mayfly Optimization Algorithm (MOA), is suggested for optimizing both the location and parameters of the PSS. Comparative investigations were conducted to assess the efficacy of MB-PSS3C in comparison with SB-PSS1A and MB-PSS2B, based on previous research. The performance analysis employed the time domain simulation method, reviewing the speed deviation response, field voltage response, PSS output voltage response, and rotor angle response for each generator. Eigenvalue analysis was performed for each control scheme. Load changes were applied to generators 1 (BAKARU) and 11 (WPP SIDRAP) to evaluate the performance of the system. The application of the MOA-based MB-PSS3C results in an increased damping ratio, improved speed response, and a more optimal rotor angle. MB-PSS3C provides a larger additional damping signal to the generator exciter, as indicated by the increase in the field voltage on the generator.

  • Optimizing the Punch Parameters for V-Bending Stainless Steel Using Response Surface Methodology Approach
    Rusdi Nur, Muhammad Arsyad Suyuti, Muhammad Iswar, and Muhammad Ruswandi Djalal
    Praise Worthy Prize

RECENT SCHOLAR PUBLICATIONS

  • Desain Optimal PID-SSSC Menggunakan Particle Swarm Optimization pada Single Machine Infinite Bus
    N Kadir, MR Djalal
    MEDIA ELEKTRIKA 17 (2) 2025

  • Peningkatan Kestabilan Sistem Kelistrikan Sulselrabar Akibat Penetrasi Energi Terbarukan Berbasis Model Kecerdasan Buatan
    MR Djalal
    Institut Teknologi Sepuluh Nopember 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

  • 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

  • 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

  • Coordinated Design of Power System Stabilizer and Virtual Inertia Control Using Modified Harris Hawk Optimization for Improving Power System Stability
    MA Prakasa, I Robandi, A Borghetti, MR Djalal, W Himawari
    IEEE Access 2024

  • Stability Improvement of Sulbagsel Electricity System Integrated Wind Power Plant Using SVC-PSS3C Based on Improved Mayfly Algorithm
    I Robandi, RN Hasanah, HL Guntur, V Lystianingrum, MR Djalal, ...
    Results in Engineering 24, 103407 2024

  • Hybrid Tuning for Parameters of Power System Stabilizer and Virtual Inertia Based on Super Conducting Magnetic Energy Storage Using Gravitational Search Algorithm
    FD Pramudhita, I Robandi, A Priyadi, MA Prakasa, MR Djalal
    2024 International Conference on Computer Engineering, Network, and 2024

  • Desain Optimal Kontrol PID Menggunakan Craziness Particle Swarm pada Permanent Magnet Synchronous Motor
    F Faisal, MR Djalal
    MEDIA ELEKTRIKA 17 (1), 41-53 2024

  • A Novel Horse Herd Optimization Algorithm for Optimal Economic Dispatch in Sulbagsel Electricity System.
    RN Hasanah, I Robandi, HL Guntur, V Lystianingrum, MR Djalal, ...
    International Journal of Intelligent Engineering & Systems 17 (6) 2024

  • Novel Hybrid Arithmetic-Equilibrium Optimizer as Robust Tuner for Power System Stabilizer (PSS) Parameters in Interconnected Electrical Power System
    I Robandi, MA Prakasa, MR Djalal, S Takai, AK Sari, MAS Musti
    e-Prime-Advances in Electrical Engineering, Electronics and Energy, 100788 2024

  • Optimal Reconfiguration using Firefly Algorithm for Integrated Electrical Distribution Network with Distributed Generation, Case Study: 20 kV Tarahan Substation, Province of
    MA Prakasa, MI Fuadi, MR Djalal, I Robandi, DFU Putra
    Iranian Journal of Electrical & Electronic Engineering 20 (3) 2024

  • Stability Improvement of Hybrid Renewable Energy Systems by Using Virtual Inertia Controller Based on Optimized FOPID with Harris Hawk Optimization.
    I Robandi, MA Prakasa, MR Djalal, A Ramadhani, VLB Putri, RS Wibowo
    International Journal of Intelligent Engineering & Systems 17 (5) 2024

  • Swarm Intelligence: Craziness Particle Swarm Optimization untuk Optimasi Sistem Tenaga Listrik
    IM Saini, AMS Yunus, MR Djalal, MT S ST
    Deepublish 2024

  • Modeling of Power Management Systems for Healtcare Facilities Using Hybrid Fuzzy-Particle Swarm Optimization: A Case Study of Ulin Hospital
    A Ramadhani, I Robandi, MR Djalal, MA Prakasa
    2024 International Seminar on Intelligent Technology and Its Applications 2024

  • Optimal Tuning of Power System Stabilizer and Virtual Inertia Control Based On Black Widow Optimization Algorithm
    MTI Hidayat, I Robandi, RS Wibowo, MA Prakasa, MR Djalal
    2024 International Seminar on Intelligent Technology and Its Applications 2024

  • Development of automatic transfer switch design in hybrid solar power system
    M Marhatang, MR Djalal, A Pangkung, S Sonong
    AIP Conference Proceedings 3140 (1) 2024

  • FACTS: SVC Optimization for Optimal Power Flow Using Craziness Particle Swarm Optimization in Sulselrabar System
    M Saini, MR Djalal, AMS Yunus
    2024 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 346-351 2024

  • Optimal Design of PSS-FACTS Using Craziness Particle Swarm Optimization in SMIB System
    MR Djalal, M Saini, AMS Yunus
    2024 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 340-345 2024

  • Application of Water Tube Filling Pump in Hybrid System of Solar Energy and PLN.
    S SUWASTI, Y KLISTAFANI, MR DJALAL
    Przegląd Elektrotechniczny 2024

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
    Citations: 56

  • 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
    Citations: 54

  • 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
    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
    Citations: 39

  • 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
    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
    MR Djalal, MY Yunus, H Setiadi, AU Krismanto
    Makara J. Technol 22 (1), 1-8 2018
    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
    Citations: 29

  • 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
    Citations: 27

  • 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
    Citations: 27

  • 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
    Citations: 26

  • Aplikasi Modified-Imperialist-Competitive-Algorithm (MICA) Untuk Merekonfigurasi Jaringan Radial Tenaga Listrik Pada Penyulang Mojoagung
    M Ali, D Ajiatmo, MR Djalal
    JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 1 (2), 49-53 2017
    Citations: 25

  • 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
    Citations: 24

  • 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
    Citations: 24

  • Frequency stability improvement of micro hydro power system using hybrid SMES and CES based on Cuckoo search algorithm
    RD Muhammad, S Herlambang, I Andi
    Journal of Mechatronics, Electrical Power, and Vehicular Technology 8 (2), 76-84 2017
    Citations: 24

  • 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
    Citations: 23

  • Modifikasi Desain PID Controller Pada Permanent Magnet Synchronous Motor Dengan Flower Pollination Algorithm
    RD Muhammad, A Machrus, I Andi, S Herlambang
    Jurusan Teknik Elektro 6 (2), 163-169 2017
    Citations: 22

  • 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
    Citations: 21

  • Optimization of PID controller design for DC motor based on flower pollination algorithm
    D Lastomo, MR Djalal, IR Widodo, I Robani
    The 2015 International Conference on Electrical, Telecommunication and 2015
    Citations: 21

  • Rancang Bangun Sistem Pentanahan Penangkal Petir Pada Tanah Basah dan Tanah Kering pada Laboratorium Teknik Konversi Energi
    H Nawir, MR Djalal, S Sonong
    JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 2 (2), 1-39 2018
    Citations: 20

  • Aplikasi Algoritma Differential Evolution untuk Desain Optimal Load Frequency Control pada Pembangkit Listrik Tenaga Hibrid Angin dan Diesel
    RD Muhammad, A Machrus, N Hidayatul, A Dwi
    Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) 5 (5), 511-516 2018
    Citations: 20

INDUSTRY EXPERIENCE

PT. Mitra Usaha Teknik, Electrical Engineer, 2007
PT. Barawaja, Electrical Engineer, Jan 2008-Okt 2010