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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Teknik Elektro Majalah Ilmiah Teknologi Elektro Perfecting a Video Game with Game Metrics Jurnal Teknik Elektro Jurnal technoscientia Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Otomasi Kontrol dan Instrumentasi SENTIA 2015 Jurnal Pengabdian Magister Pendidikan IPA Jurnal Gema Ngabdi Vocatech : Vocational Education and Technology Journal Dielektrika Jurnal Abdi Insani MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Bulletin of Computer Science and Electrical Engineering (BCSEE) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Bakti Nusa JURNAL KARYA PENGABDIAN TEKNIK MESIN Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Rekayasa elektrika

I Made Ari Nrartha

University Of Mataram

Author-ID : 231716

Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering 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 Public Health Social Sciences Transportation Other

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ANALISIS ALIRAN DAYA TIGA FASA DENGAN METODE KOMPENSASI ADAPTIF UNTUK SISTEM DISTRIBUSI DENGAN UNIT PEMBANGKIT YANG TIDAK TERPUSAT Muljono, Agung Budi; Nrartha, I Made Ari
JURNAL TEKNOLOGI TECHNOSCIENTIA Academia Ista Vol 12 No 01 Agustus 2007
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Generally study of power-flow used the system presentation with the well-balan-ced load. Presentation like this enabled to solve power-flow used single phase presen-tation. Well-balanced load distribution system is very rare. Condition of unbalance load on distribution system needed the special power flow program which can solve three phase power system.This research made and tested three phase power-flow program with adaptive compensation-based method using the application program MATLAB 6.5.1. This method emphasized to solve power-flow of radial system with balance or unbalance load and dis-persed generation. Result of research showed for the validation of program using standard data 15 bus that is getting of converged to the specified tolerance value (1x10-8) for the various lo-ading condition. Unbalance load caused the power mismatch at same iteration tend to in-crease in linear. Addition load factor at one of phase (phase A) caused power mismatch at same iteration tend to increase by exponential. Dispersed generation gives decrease voltage drop in most of all buses and decrease power loss until 73,64 %. Unbalance load on Airlangga feeder caused increase system loss until 38,09%. The biggest contributions of loss cause by longest branch feeder on bus 4 to 6 equal to 39,68 %. Biggest voltages drop at the end of feeder with average degradation until 0Ã0,0130 pu for balance and un-balance load.

Pemodelan Matematis Beban Tersebar Sebagai Beban Terpusat pada Sistem Distribusi 20 kV untuk Studi Aliran Daya Gina, I Made; Nrartha, I Made Ari
Jurnal Teknik Elektro Vol 8, No 1 (2008): MARET 2008
Publisher : Institute of Research and Community Outreach

Load flow study on distribution system sometime is not effective for radial power system, which have many distributed loads. This un-effectiveness caused by the bus model for distribution transformer is a load bus in a load flow study. A mathematical model for representing distributed load as lumped load is needed for reducing distributed loads. This research is subjected to make a distribution load model as lumped load by using mass center formula (TPM model) based on lumped load model, [5] Cheng and Shirmohammadi. This models are validated using MATPOWER ver. 3.0.0 load flow to compare model outputs and real condition outputs of distributed loads. Output variables of research is sending power (Ps), sending reactive power (Qs), voltage magnitude (Vr) and angle (ï¤r). Validation of these models use standard distribution system (SPLN) and implemented on Gunung Sari Feeder, Lombok. Results of research are TPM model has better than CS95 model. TPM model has error percentage : Ps 0.8780%, Qs 0.6860%, Vr 0.2782% and ï¤r 0.637375%. CS95 Model has error percentage: Ps 1.6222%, Qs 1.1843%, Vr 0.8080% and ï¤r 7,0762% on standar distribution system (SPLN). Implemented these models on Gunung Sari Feeder, TPM model also has better than CS95 Model. TPM model has error percentage: Ps 0.5155%, Qs 1.0417%, Vr 0% and ï¤r 2.0875%, CS95 model has error percentage: Ps 0.5155%, Qs 1.0417%, Vr 0.3566% and ï¤r 25.5249%. Abstract in Bahasa Indonesia: Studi Aliran daya pada sistem distribusi kadangkala tidak efektif untuk kasus sistem distribusi radial yang memiliki gardu distribusi cukup banyak. Ketidakefektifan ini disebabkan model bus untuk gardu distribusi merupakan bus beban dalam studi aliran daya. Diperlukan model matematis beban (gardu distribusi) tersebar sebagai beban terpusat untuk mengurangi gardu distribusi tersebar. Pada penelitian ini diusulkan pemodelan matematis beban terpusat menggunakan rumusan titik pusat massa (TPM) dengan acuan model beban terpusat, [5]Cheng dan Shirmohammadi. Model diuji dengan aliran daya MATPOWER versi 3.0.0. untuk validitas model diukur dengan % error (daya terkirim (Ps dan Qs), magnitude dan sudut tegangan terima) dengan kondisi real (beban tersebar). Sistem distribusi yang diacu adalah Sistem Distribusi Standar (SPLN) dan diimplemetasikan pada Penyulang Gunung Sari, Lombok. Hasil penelitian menunjukkan untuk berbagai konfigurasi sistem distribusi 20 kV SPLN, Model TPM lebih baik dari Model CS95 karena % errornya lebih kecil yaitu TPM Ps 0.8780%, Qs 0.6860%, Vr 0.2782% dan ï¤r 0.637375%. Model CS95 Ps 1.6222%, Qs 1.1843%, Vr 0.8080% dan ï¤r 7.0762%. Implemetasi pada Penyulang Gunung Sari, Model TPM juga juga lebih baik yaitu Ps 0.5155%, Qs 1.0417%, Vr 0% dan ï¤r 2.0875%. Model CS95 Ps 0.5155%, Qs 1.0417%, Vr 0.3566% dan ï¤r 25.5249%. Kata kunci : beban tersebar, beban terpusat, titik pusat massa, sistem distribusi 20 kV dan aliran daya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v0i0.1970

Penyelesaian Masalah Economic Dispatch Menggunakan Equilibrium Optimizer Zebua, Osea; Ginarsa, I Made; Ari Nrartha, I Made
Jurnal Teknik Elektro Vol 13, No 1 (2021): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v13i1.28698

This paper presents a metaheuristic method, namely Equilibrium Optimizer (EO) to solve the economic dispatch (ED) problem. The main objective function to be achieved is to minimize the total fuel costs of all generating units to meet the total load demand and to satisfy various operating constraints. Three case studies are used to test the effectiveness of the EO method in solving ED problems, they are three generators case, six generators case, and fifteen generators case. The simulation of solving ED problems using the EO method is implemented using MATLAB software and is carried out 30 times for each case study. The results of EO method are compared with Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA) methods. The simulation results show that the EO method can solve the ED problem more optimal than all other comparison methods for all the case studies by producing the minimum total fuel costs.

Pelatihan Arduino Untuk Pembuatan Alat Ukur Suhu Tubuh Non Kontak Berbasis Android Pada Siswa SMA Sudi Mariyanto Al Sasongko; Sultan; I Made Ginarsa; Agung Budi Muljono; I Made Ari Nrartha
Jurnal Pengabdian Magister Pendidikan IPA Vol 5 No 1 (2022): Januari - Maret
Publisher : Universitas Mataram

SMAN 3 Mataram has a vision of forming human resources who are honest, trustworthy, and smart. One of the missions is to improve the ability in science, technology and skills. During the COVID-19 pandemic, healthy and clean living behavior is required according to the protocol by keeping a distance and avoiding crowds. To encourage skill and creative students, the PKM Team carries out Arduino training to measure non-contact body temperature. Arduino training modules are made easy to disassemble and can be monitored by Android phones via Bluetooth, with the MIT APP Inventor 2 program interface. The MLX90614 sensor can be used as a body temperature measurement via wireless during the Covid-19 pandemic. The training was carried out by means of presentations on the basic principles of Arduino and the introduction of analog sensors to measure body temperature. In order to be effective and efficient, the presentation of hardware circuits is directly practiced and supervised by electrical students. Competent lecturers provide training on making android programs, case studies of body temperature sensors. This PKM activity was attended by 23 students who were divided into 4 groups to match the number of modules. Based on the results of the evaluation of the pretest and posttest, there was an increase in knowledge of 34.5% from the pretest average of 51.2 to the posttest average of 78.2. A total of 13 students (56.6%) had additional motivation to find out more about the Arduino application.

Arduino Mega Based System Design for Sequence and Phase Difference Detection of Three-Phase Systems Nrartha, I Made Ari; Saputra, Ahmad Sandi Yayan; Supriono, Supriono; Hasibuan, Arnawan; Sayuti, M; Al-Ani, Waleed Khalid Ahmed
Journal of Renewable Energy, Electrical, and Computer Engineering Vol 2, No 1 (2022): March 2022
Publisher : Institute for Research and Community Service, Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v2i1.6889

In a three-phase system, the difference in the angle between the phases and the phase sequence of the system is very important to ensure the system functions normally and does not cause damage to the three-phase equipment connected to the system. Trigonometric formulas in multiphase systems are used to obtain the angle difference between the phases and the sequence of phases in the system. The trigonometric formula was tested in a simulation using MATLAB software, then applied to an Arduino Mega-based system. In the simulation, the data are two voltages vs. time with a certain phase angle difference, then using the trigonometric formula in the MATLAB program, the data is recovered from the phase angle difference and the direction of rotation of the two voltages. Based on the valid MATLAB simulation test results, the program algorithm is embedded in an Arduino Mega-based system equipped with 2 voltage sensors and a 2.4-inch TFT LCD. The Arduino Mega-based system has succeeded in detecting and visualizing in the form of a graph the angle difference between the phases and the direction of rotation of the three-phase system.

Coordination of Adaptive Neuro Fuzzy Inference System (ANFIS) and Type-2 Fuzzy Logic System-Power System Stabilizer (T2FLS-PSS) to Improve a Large-scale Power System Stability Agung Budi Muljono; I. M. Ginarsa; I. M. A. Nrartha; A. Dharma
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Intelligent control included ANFIS and type-2 fuzzy (T2FLS) controllers grown-up rapidly and these controllers are applied successfully in power system control. Meanwhile, small signal stability problem appear in a large-scale power system (LSPS) due to load fluctuation. If this problem persists, and can not be solved, it will develop blackout on the LSPS. How to improve the LSPS stability due to load fluctuation is done in this research by coordinating of PSS based on ANFIS and T2FLS. The ANFIS parameters are obtained automatically by training process. Meanwhile, the T2FLS parameters are determined based on the knowledge that obtained from the ANFIS parameters. Input membership function (MF) of the ANFIS is 5 Gaussian MFs. On the other hand, input MF of the T2FLS is 3 Gaussian MFs. Results show that the T2FLS-PSS is able to maintain the stability by decreasing peak overshoot for rotor speed and angle. The T2FLS-PSS makes the settling time is shorter for rotor speed and angle on local mode oscillation as well as on inter-area oscillation than conventional/ ANFIS-PSS. Also, the T2FLS-PSS gives better performance than the other PSS when tested on single disturbance and multiple disturbances.

Transient response improvement of direct current using supplementary control based on ANFIS for rectifier in HVDC I Made Ginarsa; Agung Budi Muljono; I Made Ari Nrartha; Sultan Sultan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v11.i4.pp2107-2115

Current control scheme is commonly used in high voltage direct current (HVDC) to transmit power delivery. This scheme is done by adjusting trigger angle to regulate direct current (DC) in thyristor devices. The adaptive neuro-fuzzy inference system (ANFIS) control is widely applied for start and fault operation. But, solution for transient response of DC current in HVDC system is not clearly studied before. In this paper, supplementary control (SC) based on ANFIS is proposed to improve the transient response of the current. The SC control is designed by learning-processes and SC parameters are obtained by data-training automatically. For current reference at 1.05 pu and up-ramp at 20 pu/s, maximum overshoot is achieved at 5.12% and 7.72% for the SC and proportional integral controller (PIC), respectively. When the up-ramp is increased to 28 pu/s, the maximum overshoot is achieved at 10.01% for the SC. While, the peak overshoot for the PIC is 14.28%.

Controlling Chaos and Voltage Collapse using Layered Recurrent Network-based PID-SVC in Power Systems I Made Ginarsa; Agung Budi Muljono; I Made Ari Nrartha
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 3: September 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v11i3.948

Chaos and voltage collapse occurred in critical power systems due to disturbing of energy. PID-SVC layered reccurrent neural network-based (LRN-based PID-SVC) was proposed to solve these problems. The PID is used to control chaos and voltage collapse. Meanwhile, an SVC LRN-based is used to maintan the load voltage. By using the proposed controller, chaos and voltage collapse are able to suppress and maintain the load voltage around the setting value. When the maximum load isforced to load bus, the reactive power supplied by SVC, SVC additional voltage and load voltage are at the values of j0.1127, 4.0095´10-3 and 0.980010 pu, respectively. Furthemore, the proposed controller gives better response than PI-SVC controller.

GWO-based estimation of input-output parameters of thermal power plants Osea Zebua; I Made Ginarsa; I Made Ari Nrartha
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.12957

The fuel cost curve of thermal generators was very important in the calculation of economic dispatch and optimal power flow. Temperature and aging could make changes to fuel cost curve so curve estimation need to be done periodically. The accuracy of the curve parameters estimation strongly affected the calculation of the dispatch. This paper aims to estimate the fuel cost curve parameters by using the grey wolf optimizer method. The problem of curve parameter estimation was made as an optimization problem. The objective function to be minimized was the total number of absolute error or the difference between the actual value and the estimated value of the fuel cost function. The estimated values of parameter that produce the smallest total absolute error were the values of final solution. The simulation results showed that parameter estimation using gray wolf optimizer method further minimized the value of objective function. By using three models of fuel cost curve and given test data, parameter estimation using grey wolf optimizer method produced the better estimation results than those estimation results obtained using least square error, particle swarm optimization, genetic algorithm, artificial bee colony and cuckoo search methods.

Co-Authors A B Muljono A. Dharma Abdulah Zainuddin Agung Budi Muljono Agung Budi Muljono Agung Budi Mulyono Ahmad Sandi Yayan Saputra Al-Ani, Waleed Khalid Ahmed Ananda Ghufran Andi Akbar Hidayat Arnawan Hasibuan Asran Asran Bulkis Kanata Desi Widianty Dupli Dupli Fajar Syahbakti Lukman Firwan Dani Ginarsa Ginarsa Hendra Sasmita I Ketut Wiryajati I M. Ginarsa I Made Budi Sukmadana I Made Budi Suksmadana I Made Budi Suksmadana I Made Dwipayana I Made Gina I Made Ginarsa I Made Ginarsa I.M. Ginarsa I.M.B Suksmadana Ida Ayu Mas C. Dewi Ida Ayu Nyoman Iswari Wikapti Ida Bagus Fery Citarsa Ida Bagus Fery Citarsa Ida Rofaida Indra Sasmita Julia Kamilatin M Sayuti M.Kuraish Shihab Made Sutha Yadnya Misbahuddin, Misbahuddin Muhamad Nudisantana Riswandi Muhammad Abdulloh Hamzan Muhammad Daud Muhammad Rolan Alfian Muhammad Ulul Azmi Muljono Muljono Muljono, A.B Muljono, A.B Nababan, Sabar Osea Zebua Osea Zebua Rahman Hidayat Rahmat Andria Rana Yuristia Rizki Ardiansyah S. M. Al Sasongko Saputra, Ahmad Sandi Yayan Sayuti, M Soedjatmiko - Sudi Mariyanto Al Sasongko Sudi Mariyanto Al. Sasongko sultan Sultan Sultan ' Sultan . Sultan . Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sultan Sulthon Zamroni Supriono Supriono Supriono Supriono Supriyatna . Supriyatna Supriyatna Taufik Taufik Teti Zubaidah Waleed Khalid Ahmed Al-Ani Warindi Warindi Warindi Warindi Wildan Faisal Harharah Wirindi - Zulfikarullah Zulfikarullah

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