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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
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Characteristic Test Of Transistor Based Multisim Software Muhammad Ruswandi Djalal; Herman HR
PROtek : Jurnal Ilmiah Teknik Elektro Vol 6, No 2 (2019): PRotek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.192 KB) | DOI: 10.33387/protk.v6i2.1214

Abstract

Abstract--The purpose of this study is to determine the characteristics of the transistor before it is used in the circuit. Transistors are semiconductor devices used as amplifiers, as circuit breakers and connectors (switching), voltage stabilization, signal modulation or as other functions. Transistor performance can be seen by testing input-output characteristics. Multisim is an electronic capture and schematic simulation program that is part of a series of circuit design programs, together with NI Ultiboard. Multisim can properly simulate electronic components.  
Load Flow Analysis After the Entry of Renewable Power Plants in the Sulselrabar System Muhammad Ruswandi Djalal; Makmur Saini; A.M Shiddiq Yunus
Journal of Electrical Technology UMY Vol 5, No 2 (2021): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v5i2.12897

Abstract

Power flow analysis in an electric power system is an analysis that reveals the performance of an electric power system and the flow of power (active and reactive) for certain conditions when the system is working. The analysis was carried out using the ETAP 16.00 software, the method used was the newton rapshon by taking a case study of normal conditions. From the results of the study, it can be seen that the power flow that occurs in each channel of the 150 kV system in the South Sulawesi system. The amount of active power (MW) that occurs during normal conditions based on the simulation is 1730.87 MW, where the active power is the largest, which is 171 MW from BUS15_TLASA to BUS13_SGMNSA. For the voltage data, there is a slight comparison of the voltage during the simulation compared to the PLN data.
Membership Function Optimization of Fuzzy Inference System Using Cuckoo Search Algorithm for Peak Load Forecasting in National Holiday Andi Imran; Imam Robandi; Firdaus Firdaus; Ruslan Ruslan; Muhammad Yusuf Mappeasse; Muhammad Ruswandi Djalal
Journal of Electrical Technology UMY Vol 5, No 2 (2021): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v5i2.12889

Abstract

This study aims to analysis peak load prediction of Indonesian national holidays for Jawa-Bali electricity system. Forecasting applied using the Fuzzy Logic System (FLS) method combined with the Cuckoo Search Algorithm (CSA). CSA is used to determine the optimal membership function in fuzzy logic. Cuckoo search algorithm has a very good performance in terms of optimization. This method is applied for short-term load estimates on holidays/special days on the Jawa-Bali electricity system, Indonesia. The study used data from daily peak loads during Indonesian national holidays in 2014 on the Jawa-Bali electricity system. The data analyzed is the daily peak load documentation data for 4 days before national holidays and during national holidays in 2014. Testing the simulation results, it was found that the Fuzzy Logic System - Cuckoo Search Algorithm (FLS-CSA) method gives good forecasting results, this is evidenced by using the mean absolute percentage error (MAPE). Forecasting results using the Cuckoo Search Algorithm (CSA) optimization method on fuzzy logic membership functions for peak loads on national holidays on the Java-Bali 500kV electrical system give satisfactory results with an average forecasting error of 1.511314562%.
FIELD-ORIENTED CONTROL PERMANENT MAGNET MOTOR SINKRON MENGGUNAKAN ALGORITMA KUNANG-KUNANG Muhammad Ruswandi Djalal; Andareas Pangkung; Marhatang Marhatang; Sonong Sonong
Jurnal Teknologi Vol 10, No 2 (2018): Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.10.2.153-160

Abstract

Penggunaan kontroler PID (Proporsional-Integral-Derivatif) pada sebuah motor sinkron sangat banyak digunakan, karena strukturnya yang sederhana, kokoh yang kuat dan mudah digunakan. Penggunaan kontroler PID diperlukan pengaturan parameter yang tepat untuk kinerja yang optimal pada motor. Solusi yang sering digunakan adalah metode trial-error, untuk menentukan parameter yang tepat untuk PID, namun hasil yang didapat tidak membuat kontroler PID optimal. Belakangan ini sudah banyak penelitian untuk mengoptimasi kontroler PID, salah dengan metode cerdas. Untuk itu pada penelitian ini akan digunakan metode optimasi Algorithm Firefly, untuk mengoptimasi dan menentukan parameter yang tepat dari PID. FA adalah salah satu metode cerdas yang terinspirasi dari perilaku kunang-kunang yang bergerak dimalam hari dengan kebiasaan berkedip, konsep inilah yang diadaptasi dan diterapkan menjadi algoritma cerdas untuk menyelesaikan masalah optimasi. Dari hasil yang diperoleh metode Firefly dapat dengan baik menala parameter PID. Dari hasil yang memiliki metode firefly dapat dengan baik menala parameter PID, sehingga overshoot yang dihasilkan semakin cepat dan waktu settling sangat cepat. Hasil optimasi Kp 0.7417, Ki 0.3588, Kd 0.1. Overshoot yang dihasilkan masing-masing, tanpa control sebesar 43.33 pu, PID Trial sebesar 30.26 pu, dan PID Firefly sebesar 32.1 pu. 
DESAIN KONTROL MOTOR DC MENGGUNAKAN ANT COLONY OPTIMIZATION Muhammad Ruswandi Djalal; Rahmat Rahmat
Jurnal Teknologi Vol 12, No 1 (2020): Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.12.1.49-56

Abstract

Aplikasi motor DC sangat banyak digunakan, karena motor DC sangat cocok untuk aplikasi terutama pengontrolan, sehingga dibutuhkan desain kontroler motor DC yang tepat, dalam hal ini sangat diusulkan untuk menggunakan kontroler PID karena sangat simple untuk pengontrolan sistem dengan penalaan parameter menggunakan metode cerdas yang tepat akan didapatkan kinerja yang baik. Algoritma Ant Coloni pada prinsipnya mencari sumber makanan berdasarkan jejak feromone yang kemudian secara berkelompok akan mengikuti jejak yang memiliki feromone yang terbesar. Dengan prinsip ini algoritma akan mencari parameter yang paling optimal untuk diisikan pada parameter PID, sehingga didapatkan kendali optimal pada kecepatan motor dc. Dengan menggunakan metode cerdas Ant Colony Optimization sebagai metode penalaan PID Controller, didapatkan hasil penalaan parameter nilai PID yang optimal di mana, P sebesar 164.9826, I sebesar 23.4705, dan D sebesar 10.5060. Kombinasi parameter yang optimal ini didapatkan kinerja respon kecepatan motor dc yang optimal, ditandai dengan respon settling time kecepatan motor yang cepat dibanding dengan metode PID trial dan system tanpa kontrol.
OPTIMAL DESIGN PSS-PID CONTROL ON SINGLE MACHINE INFINITE BUS USING ANT COLONY OPTIMIZATION Nasrun Kadir; Muhammad Ruswandi Djalal
SINERGI Vol 25, No 2 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2021.2.008

Abstract

Optimization of the controller in a generator can improve system performance. The right parameter optimization is needed to get the optimal performance from the controller. The application of the artificial intelligence method as a parameter optimization method is proposed in this study. By using the smart method based on Ant Colony, the optimal PSS-PID parameters are obtained. With optimal tuning, the system gets optimal Single Machine Infinite Bus (SMIB) system frequency and rotor angle response, indicated by the minimum overshot system response. The SMIB system's stability will be tested. A case study of adding and reducing loads is used, with the proposed control method PSS-PID being optimized using Ant Colony. Based on the analysis using the proposed PSS-PID control, we get the minimum overshoot for the frequency response and rotor angle of the SMIB system. When the load changes at 20 seconds, using the PSS-PID control scheme, the minimum overshoot is -4.316e-06 to 7.598e-05 pu with a settling time of 22.01s. For the rotor angle overshoot response, using the PSS-PID control scheme, the minimum overshoot is -0.01113 to -0.009669 pu with a settling time of 22.36s.
BAT ALGORITHM IMPLEMENTATION TO OPTIMALLY DESIGN THE STABILIZER POWER SYSTEM ON THE SUPPA GENERATOR Muhammad Ruswandi Djalal; Herman HR
SINERGI Vol 23, No 3 (2019)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.006 KB) | DOI: 10.22441/sinergi.2019.3.007

Abstract

One of the control devices that can be used to strengthen the performance of PLTU Suppa is the installation of Power System Stabilizer. The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats to design PSS. Bat's algorithm will work based on the specified destination function, which is an Integral Time Absolute Error (ITAE). In this research, we will see the deviation response of velocity and the rotor angle of the suppa generator in case of interference. The results of the analysis show that the uncontrolled system produces oscillation overshoot speed of -0.02437 pu to 0.006517 pu, conventional PSS about -0.02186 pu to 0.004623 pu and with PSS Bat overshoot of -0.01507 pu up to 0.0006223 pu. A loop for rotor angle response shows good results with reduced oscillation and rapidly leading to steady-state conditions. From the analysis results can be concluded, the performance of suppa generator is increased with the installation of Power System Stabilizer with optimal PSS parameters, with parameters respectively Kpss = 32.2077, T1 = 0.0173, T2 = 0.0401, T3 = 0.9174, T4 = 1.2575.
Optimal design of energy storage for load frequency control in micro hydro power plant using Bat Algorithm Muhammad Ruswandi Djalal; Nasrun Kadir
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.002

Abstract

The rotational speed of a generator affects the frequency and voltage produced, where this change will affect the load side. For that we need a control equipment that can optimize the performance of micro-hydro. Therefore, we need a technology to optimize the performance of micro hydro by applying Load Frequency Control (LFC). LFC designed by implementing Superconducting Magnetic Energy Storage (SMES) and Capacitive Energy Storage (CES), this application will provide power compensation to reduce or even eliminate frequency oscillations caused by changes in consumer electrical power loads. To get optimal microhydro performance, it is necessary to set the right parameters for SMES and CES. SMES and CES parameter tuning in this study is proposed using the Bat Algorithm. The objective function used by this algorithm is to optimize the Integral Time Absolute Error (ITAE). For performance analysis, the system is tested with load changes, then the governor, turbine, and system frequency responses are analyzed. To test the reliability of the system, this study used several scenarios of a combination of control, SMES, CES, with conventional control based on Proportional, Integral, Derivative (PID). The right control parameters will improve system performance more optimally. Optimal system performance can be seen from the response of the governor, turbine, and minimum overshoot of the frequency, as well as the fast settling time for the system to switch to steady state conditions.
DESIGN OF OPTIMAL PID CONTROLLER FOR THREE PHASE INDUCTION MOTOR BASED ON ANT COLONY OPTIMIZATION Muhammad Ruswandi Djalal; Faisal Faisal
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (411.338 KB) | DOI: 10.22441/sinergi.2020.2.006

Abstract

Speed control of an induction motor is an important part of the operation of an induction motor. One method of regulating motor speed is the addition of a PID controller. PID parameters must be tuned properly to get the optimal speed. In this study, the PID controller tuning method uses an artificial intelligence method based on Ant Colony Optimization (ACO). ACO algorithm in an intelligent algorithm that is inspired by the behavior of ants looking for food sources in groups with traces of feromone left behind. In this study, food sources are represented as optimal parameters of PID. From the computational results obtained optimal parameters respectively, P (Proportional) 0.5359, I (Integral) 0.1173, D (Derivative) 0.0427. ACO computing found the optimal parameters in the 21st iteration with a minimum fitness function of 11.8914. Case studies are used with two variations of the speed of the induction motor input. With optimal tuning, the performance of the induction motor is increasing, marked by a minimum overshoot of 1.08 pu and a speed variation of both overshoots of 1,201 pu, whereas without control 1.49 pu and 1.28 pu, as well as with PID trial control of 1.22 pu and 1.23 pu respectively. The benefits of this research can be used as a reference for the operation of induction motors, by tuning the Ant Colony intelligent method for the PID controller in real-time with the addition of microcontroller components.
Penalaan PSS pada Sistem Generator Tenaga Menggunakan Algoritma Penyerbukan Bunga Muhammad Ruswandi Djalal; Sonong Sonong
Jurnal Teknologi dan Sistem Komputer Volume 6, Issue 3, Year 2018 (July 2018)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.021 KB) | DOI: 10.14710/jtsiskom.6.3.2018.93-99

Abstract

This research proposed a tuning method of power system stabilizer (PSS) using an intelligent method based on flower pollination algorithm (FPA) on Pajalesang generator located in Soppeng district. The observed result is the deviation response of velocity and rotor angle in case of disturbance. The case study used as the disturbance to this generator system is a load addition of 0.05 pu. The results show that velocity deviation response without PSS is 0.01152 pu to -0.0248 pu, using PSS trial is 0.007014 pu to -0.02174 pu, using PSS bat algorithm is 0.003972 pu to -0.01865 pu, and using the proposed method of PSS flower algorithm is 0.002149 pu to -0.01678 pu. The rotor angle response shows better results with reduced oscillation and rapidly leading to the steady-state condition. The performance of Pajalesang diesel power plant increased with the installation of FPA PSS, with parameters respectively Kpss=8.5956, T1= 0.0247, T2=0.2484, T3=0.4776, and T4=0.8827.
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