Article Per Year (5 Year)
p-Index From 2021 - 2026
8.459
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Teknosains EMITTER International Journal of Engineering Technology Journal of Environment and Sustainability Jurnal Elektronika dan Telekomunikasi JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Celebes Education Review Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Engineering and Technology (INAJET) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Elektro (JTE) Jurnal Pendidikan Teknik Elektro ELPOSYS: Jurnal Sistem Kelistrikan Journal of Electrical Engineering Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Widi Aribowo
Universitas Negeri Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

Published : 85 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 85 Documents
Search

 3   4   5   6   7 
Novel hybrid of marine predator algorithm-Aquila optimizer for droop control in DC microgrid Aribowo, Widi; Suryoatmojo, Heri; Pamuji, Feby Agung
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i4.pp3703-3715

Abstract

This study presents a hybrid method, namely the marine predator algorithm (MPA) and Aquila optimizer (AO). The proposed algorithm is named MAO. AO duplicated the existence of the Aquila bird in nature while hunting for prey while MPA was inspired by predators in marine animal life. Although AO is widely accepted, it has several disadvantages. This causes various weaknesses such as a weak exploitation phase and slow growth of the convergence curve. Thus, certain exploitation and exploration in conventional AO can be studied to achieve the best balance. The MPA demonstrates the capacity to deliver optimal design and statistically efficient outcomes. The proposed method used AO as the main algorithm. To measure the performance of the proposed method, this study depicted a comparison using the AO, MPA, and whale optimization algorithm (WOA) methods. This paper was evaluated the performance of MAO on twenty-one CEC2017 benchmark functions test and droop control performance on direct current (DC) microgrid. From the simulation, MAO shows superior convergence ability. The proposed method and its application to droop control was successfully implemented and implied a promising performance.
Controlling parameters proportional integral derivative of DC motor using a gradient-based optimizer Aribowo, Widi; Rahmadian, Reza; Widyartono, Mahendra; Wardani, Ayusta Lukita; Prapanca, Aditya; Abualigah, Laith
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp696-703

Abstract

In this paper, a gradient-based optimizer (GBO) algorithm is presented to optimize the parameters of a proportional integral derivative (PID) controller in DC motor control. The GBO algorithm which mathematically models and mimics is inspired by the gradient-based Newton method. It was developed to address various optimization issues. To determine the performance of the proposed method, a comparison method with the ant colony optimization (ACO) method. It was compared using the integral of time multiplied absolute error (ITAE). They are most popularly used in the literature. From the test results, the proposed method is promising and has better effectiveness. The proposed method, namely GBO-PID, shows the best performance.
Pelatihan Perangkat Lunak Matlab Pada Sistem Tenaga Listrik Bagi Mahasiswa Institut Teknologi Adhi Tama Surabaya Wardani, Ayusta Lukita; Widyartono, Mahendra; Aribowo, Widi; Rahmadian, Reza; Hermawan, Aditya Chandra; Laksmi, Nur Vidia
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 8, No 1 (2024): Mei
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jpp-iptek.2024.v8i1.5312

Abstract

The use of software developed by The MathWorks is increasingly massive due to its ease of operation. Matlab software can make it easier to optimize and also model a system design so that engineering students, especially Electrical Engineering, need to be equipped with the knowledge and skills to solve Electrical Power System problems. So in this activity, training was carried out in using the software, starting from running Matlab Online, creating code such as basic calculation operations, forming matrices, plotting data and using Simulink which contains a collection of block diagrams. The level of success of this training is measured through two indicators. And it can be concluded that there is an increase in knowledge and skills through comparing the Pre-Test and Post-Test Scores as well as analysis of the Paired Sample T Test using Ms. Excell 
A novel modified mountain gazelle optimizer for tuning parameter proportional integral derivative of DC motor Aribowo, Widi; Abualigah, Laith; Oliva, Diego; Prapanca, Aditya
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.5575

Abstract

This article presents a modified method of mountain gazelle optimizer (MMGO) as a direct current (DC) motor control. Mountain gazelle optimizer (MGO) is an algorithm inspired by the life of the mountain gazelle animal in nature. This animal concept has five essential steps that are duplicated in mathematical modeling. This article uses two tests to get the performance of the MMGO method. The first test uses a benchmark function test with a comparison method, namely the sine tree seed algorithm (STSA) and the original MGO. The second test is the application of MMGO as a DC motor control. The simulation results show that MMGO can reduce the overshoot of conventional proportional integral derivative (PID) control by 0.447% and has a better integral time square error (ITSE) value of 5.345 than conventional PID control. Thus, the MMGO method shows promising performance.
Novel modified Chernobyl disaster optimizer for controlling DC motor Aribowo, Widi; Shehadeh, Hisham A.
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i3.pp1361-1369

Abstract

This article presents the modified Chernobyl disaster optimizer (CDO) method for DC motor control to find the optimal proportional integral derivative (PID) settings. DC motors are widely used machinery. DC motors are also simple to use. The detonation of the Chernobyl nuclear reactor core served as the inspiration for the idea and guiding principles of the CDO. CDO has limitations in the stability of exploration and exploitation areas. This research aims to obtain a new balance of exploration and exploitation. This study suggests incorporating the levy flight and chaotic algorithm (CA) techniques to enhance the CDO method. This study was conducted with the MATLAB/Simulink software. A comparative technique, which included the marine predator algorithm (MPA), golden jackal optimization (GJO), and CDO, was utilized to determine the performance of the MCDO method. According to the study’s findings, the MCDO method’s overshoot value outperformed all other approaches.
Analisis Potensi Daya Listrik PLTS Atap di Gedung K4 Universitas Negeri Surabaya Wardani, Ayusta Lukita; Aribowo, Widi; Widiyartono, Mahendra; Rahmadian, Reza; Hermawan , Aditya Chandra; Laksmi B, Nur Vidia
Elposys: Jurnal Sistem Kelistrikan Vol. 11 No. 3 (2024): ELPOSYS vol. 11 no. 3 (2024)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v11i3.6348

Abstract

In order to utilize the potential of solar energy and support the government in its energy transition efforts and achieve Net Zero Emissions, it is necessary to utilize solar power plants more massively. One thing that can be done is the installation of solar panels on the roof of a building called Rooftop PLTS. This rooftop PLTS is designed on the roof of the K4 Unesa building with an ongrid system because lecture activities only exist from morning to evening. Research conducted to analyze the potential of electrical energy on the roof of the K4 building using OpenSolar software. From the simulation results, the roof of the K4 building can be designed to install 70 solar panels with the LR4-72HPH-450M type and 5 Goodwe GW5K-DT type inverters which can produce 35,478 kWh per year with a PLTS capacity of 31,500 Wp. From the shadow simulation results, it is found that the selected location is optimal because there are no shadows of other buildings, trees or shadows from the solar panels themselves. Then from the POA analysis, it is found that between April to September has a relatively large amount of generation while in February the lowest energy is generated.
Cascaded AC-DC parallel boost-flyback converter for power factor correction Laksmi B., Nur Vidia; Mubarok, Muhammad Syahril; Effendi, Moh. Zaenal; Aribowo, Widi; Liu, Tian-Hua
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp224-234

Abstract

A two-stage power factor correction (PFC) topology achieves a higher power factor quality and lower harmonic distortion than a single-stage converter. This paper introduces a two-stage PFC topology using a parallel boost and flyback converter which is employed as a voltage regulator The main boost converter is used for PFC and the other is the active filter circuit. The filter is implemented to improve the quality of phase-current and eliminate the switching loss. Furthermore, a reaction curve of Ziegler-Nichol’s method determines the controller parameter for cascaded PFC converter circuit. Simulated and experimental results are presented to validate the proposed method. The total harmonic distortion (THD) value decreases significantly from 83.35% become 0.98% in the simulation. In addition, experimental results show that the current response has good performances, including less harmonics, higher power factor, and lower THD value compared to without a PFC circuit. The PF increased from 0.43 become 0.96, the THD value decreased from 49.4% become 16.2%, and contains a small number of harmonics. The proposed controller method has better responses than the conventional one, including small steady-state error, fast rise time and settling time. A microcontroller (MCU), type STM32F407VG, produced by STMicroelectronics is used to execute the proposed control in both converters.
Enhanced hippopotamus optimization algorithm for power system stabilizers Aribowo, Widi; Mzili, Toufik; Sabo, Aliyu
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp22-31

Abstract

This article presents techniques for modifying the power system stabilizer's (PSS) parameters. An enhanced version of the hippocampal optimization algorithm (HO) is presented here. HO represents a novel approach in metaheuristic methodology, having been inspired by the observed clinging behavior in hippos. The notion of the HO is defined using a trinary-phase model that includes their position updates in rivers or ponds, defensive techniques against predators, and mathematically described evasive methods. To confirm the efficacy of the recommended approach, this article provides comparison simulations of the PSS objective function and transient response. This study employs validation through a comparison between Original HO and conventional methods. Simulation results demonstrate that, when compared to competing algorithms, the suggested approach yields optimal results and, in some cases, exhibits fast convergence. It is known that, in comparison to the original HO approach, the recommended way can lower the average undershoot of the rotor angel and speed by 12.049% and 26.97%, respectively.
LoRa-based DC Motor Control and Yagi Antenna Wicaksono, Alfiyanto Wahyu; Nawawi , Akhmad; Erfin Prafitama Setiawan , Muhammad; Herwanto , Yoko; Aribowo, Widi; Herjuno, Dimas
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 2 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i2.34852

Abstract

With the advancement of wireless communication technology, appropriate solutions such as LoRa SX1278, a long-range intermediate module with a wider range of IoT applications have become available. Nevertheless, problems still exist, especially in Non-Line of Sight (N-LoS) circumstances that can favor transmission. On the other hand, the demand for more effective motors in the household sector is growing, where DC motors provide purchasing managers with advanced and low-cost direct control capabilities over AC induction motors. Suggested approaches include the use of omni-directional antennas to increase the transmission range of LoRa as well as the application of DC motors to improve operational efficiency. This work develops the necessary techniques to increase the communication range of LoRa and optimize the use of DC motors in a small industrial setting. The research procedure consisted of investigating the automatic control of a 12V DC motor using an Arduino Uno and a DHT22 temperature sensor, and the study of remote control via LoRa SX1278 with switching mode logic. The tests conducted confirmed that the percentage error of DC motor control was 0.78%, 0.42%, and 0.26% in each category, respectively. There is also a clear 600m and 6250m data transmission range on the LoRa in two different locations, featuring the same switching logic. In summary, the embellishment of LoRa SX1278 through omni-directional antenna anchoring and mode switching logic on the LoRa SX1278-based DC motor control system displays efficient operation and extended transmission range, thus offering antimicrobial potential in household industrial applications.
Hybrid horned lizard optimization algorithm-aquila optimizer for DC motor Aribowo, Widi; Abualigah, Laith; Oliva, Diego; Mzili, Toufik; Sabo, Aliyu
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i2.pp1673-1682

Abstract

This research presents a modification of the horned lizard optimization (HLO) algorithm to optimize proportional integral derivative (PID) parameters in direct current (DC) motor control. This hybrid method is called horned lizard optimization algorithm-aquila optimizer (HLAO). The HLO algorithm models various escape tactics, including blood spraying, skin lightening or darkening, crypsis, and cellular defense systems, using mathematical techniques. HLO enhancement by modifying additional functions of aquila optimizer improves HLO performance. This research validates the performance of HLAO using performance tests on the CEC2017 benchmark function and DC motors. From the CEC2017 benchmark function simulation, it is known that HLAO's performance has promising capabilities. By simulating using 3 types of benchmark functions, HLOA has the best value. Tests on DC motors showed that the HLAO-PID method had the best integrated of time-weighted squared error (ITSE) value. The ITSE value of HLOA is 89.25 and 5.7143% better than PID and HLO-PID.
Co-Authors A. Shehadeh, Hisham A.A. Ketut Agung Cahyawan W Abdullayev, Vugar Hacimahmud Abualigah, Laith Achmad Imam Agung ACHMAD RIZAL MAWALI Achmad, Fendi Ade Ananda Kurniawan Adhim Triano Nasrullah Aditya Chandra Hermawan Aditya Chandra Hermawan Aditya Prapanca Agus Budi Santosa Agus Budi Santosa Agustin, Intan Permata Ainul, Safira Tri Handini Akhmad Rizqi Kamal Aljohani, Abeer Amaliah, Fithrotul Irda Andi Iwan Nurhidayat Arief, Muhammad Baharuddin Arief, Rozihan Ariyanto, Sudirman Rizki Arrashid, Rakhmad Arrashid, Rakhmad Agus Asmunin Asmunin As’ad Shidqy Aziz Ayusta Lukita Wardani B, Nur Vidia Laksmi B., I Gusti Putu Asto Bambang Suprianto . Bao, Benesiktus Chandra Hermawan, Aditya Danang Aji Basudewa DIDIK PURWANTO Dimas Herjuno Dwi, Mochamad Hanif Edy Kurniawan Effendi, Moh. Zaenal Elsayed Abd Elaziz, Mohamed Erfin Prafitama Setiawan , Muhammad Erina Rahmadyanti Euis Ismayati Farid Baskoro Faruqi, Muhammad Ismail Feby Agung Pamuji Fendi Achmad Firdaus, Muhammad Riqi Fransisca, Yulia Hacimahmud Abdullayev, Vugar Hafid Al azzah Heri Suryoatmojo Hermawan , Aditya Chandra Hermawan,, Aditya Chandra Herwanto , Yoko Ibrohim Ibrohim Ibrohim Igo Nanda Deka Zaymapa Ilham Amarulloh Isaac, Jacob Raglend Ismet Basuki Joko Joko Kevin Pranata Putra Khoirul Anwar Khoriri, Doddy Nur Liu, Tian-Hua Lucia Tri Pangesthi Lukita Wardani , Ayusta Lukita Wardani, Ayusta Luthfiyah Nurlela Ma'arif, Muhammad Fikrul Mahendra Widyartono Mochamad Hanif Dwi Wicaksono Mubarok, Muhammad Syahril MUHAMMAD PERMANA SETYA GUNAWAN Muhammad Syahril Mubarok Muhammad Taufiqurrohman, Muhammad Munoto Munoto Musthofa, Achmad Malikur Robbani Mzili, Toufik Nawawi , Akhmad Nita Kusumawati Nugrahani Astuti Nugroho, Yuli Sutoto Nur Vidia Laksmi B Nurlita, Ita Nurul Jaizah Oliva , Diego Oliva, Diego Pradipta, Moh. Alfiansyah Putera Putra, Alfredo Arianto Permana Putra, Andreas Perkasa Raden Mohamad Herdian Bhakti Rahmadian, Reza Rahmatullah, Daeng Rakhmad Agus Arrashid Ridwan, M. Nanda Tri Maulana Rina Harimurti Rosalin, Berliana Dzakiyya Ruzairi Abdul rahim Sabo, Aliyu Salam, Muhammad Abdus Shehadeh, Hisham A. Shidqy Aziz, As'ad Siti Sulandjari Soleimanian Gharehchopogh, Farhad Sri . Handayani Subuh Isnur Haryudo Suhermanto, Dimas Ahmad Nur Kholis Supari Muslim Supari Supari Syamsul Muarif Taufiqur Rohman Udin, Muhammad Syafi Umaroh, Susi Tri Unit Three Kartini Wicaksono, Alfiyanto Wahyu Wicaksono, Mochamad Hanif Dwi Widiyartono, Mahendra Wiyli Yustanti WRAHATNOLO, TRI YUNI YAMASARI Zahrotul Maulia Zangana, Hewa Majeed Zaymapa, Igo Nanda Deka