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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 SUSTINERE: Journal of Environment and Sustainability 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 JURNAL LINTAS KARSA Jurnal Elektronika dan Telekomunikasi
Widi Aribowo
Universitas Negeri Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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

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A novel modified dandelion optimizer with application in power system stabilizer Widi Aribowo; Bambang Suprianto; Aditya Prapanca
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i4.pp2033-2041

Abstract

This article presents a newly developed modification of the dandelion optimizer (DO). The proposed method is a chaotic algorithmic integrity and modification of the original dandelion optimizer. Dandelion is one of the plants that rely on wind for seed propagation. This article presents the tuning of the power system stabilizer with the method proposed in a case study of a single machine system. The validation of the proposed method uses the benchmark function and performance on a single engine system against transient response. The method used as a comparison in this article is the whale optimization algorithm (WOA), grasshopper optimization algorithm (GOA) and the original dandelion optimizer (DO). The simulation results show that the proposed method, which is a modified dandelion optimizer, provides promising performance.
Adaptive tuning of PID using chef‑based optimization algorithm for improving automatic voltage regulator Widi Aribowo; Reza Rahmadian; Mahendra Widyartono
Indonesian Journal of Electrical Engineering and Computer Science Vol 32, No 3: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v32.i3.pp1215-1223

Abstract

This  article  presents  the  proportional-integral-derivative  (PID)  parameter tuning  on  the  automatic  voltage  regulator  (AVR)  using  the chef-based optimization   algorithm   (CBOA).   CBOA   is   modeling   cooking   training activities consisting of students and young chefs in an effort to mature cooking skills.  This  article  uses  other  methods  as  a  comparison  in  measuring  the performance  of  the  proposed  method.  The  methods  used  are grasshopper optimization algorithm (GOA) and cooperation search algorithm (CSA). The simulation results show that the proposed method, namely CBOA, has a better ability in the peak value of overshoot, which is 0.232% compared to the CSA method and 12.99% compared to the GOA method.
A Novel Improved Sea-Horse Optimizer for Tuning Parameter Power System Stabilizer Aribowo, Widi
Journal of Robotics and Control (JRC) Vol 4, No 1 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i1.16445

Abstract

Power system stabilizer (PSS) is applied to dampen system oscillations so that the frequency does not deviate beyond tolerance. PSS parameter tuning is increasingly difficult when dealing with complex and nonlinear systems. This paper presents a novel hybrid algorithm developed from incorporating chaotic maps into the sea-horse optimizer. The algorithm developed is called the chaotic sea-horse optimizer (CSHO). The proposed method is adopted from the metaheuristic method, namely the sea-horse optimizer (SHO). The SHO is a method that duplicates the life of a sea-horse in the ocean when it moves, looks for prey and breeds.  In This paper, The CSHO method is used to tune the power system stabilizer parameters on a single machine system. The proposed method validates the benchmark function and performance on a single machine system against transient response. Several metaheuristic methods are used as a comparison to determine the effectiveness and efficiency of the proposed method. From the research, it was found that the application of the logistics Tent map from the chaotic map showed optimal performance. In addition, the application of the PSS shows effective and efficient performance in reducing overshoot in transient conditions.
A Novel Hybrid Prairie Dog Optimization Algorithm - Marine Predator Algorithm for Tuning Parameters Power System Stabilizer Aribowo, Widi; Rohman, Miftahur; Baskoro, Farid; Harimurti, Rina; Yamasari, Yuni; Yustanti, Wiyli
Journal of Robotics and Control (JRC) Vol 4, No 5 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i5.19521

Abstract

The article presents the parameter tuning of the Power System Stabilizer (PSS) using the hybrid method. The hybrid methods proposed in this article are Praire Dog Optimization (PDO) and Marine Predator Algorithm (MPA). The proposed method can be called PDOMPA. In the PDOMPA method, the marine predator algorithm (MPA) is able to search around optimal individuals when updating population positions. MPA is used to make the exploration and exploitation stages of PDO more valid and accurate. PDO is an algorithm inspired by the life of prairie dogs. Prairie dogs are adapted to colonizing in burrows underground. Prairie dogs have daily habits of eating, observing for predators, establishing fresh burrows, or preserving existing ones. Meanwhile, MPA is a duplication of marine predator life which is modeled mathematically. In order to validate the performance of the PDOMPA method, this article presents a comparative simulation of the objective function and the transient response of PSS. This research uses validation by comparing with conventional methods, Whale Optimization Algorithm (WOA), Grasshopper Optimization Algorithm (GOA), Marine Predator Algorithm (MPA), and Praire Dog Optimization (PDO). Based on the simulation results, PDOMPA presents fast convergence in some cases and shows optimal results compared to competitive algorithms. From the simulation results using load variations, it was found that the proposed method has the ability to reduce the average undershoot and overshoot of speed by 42.2% and 85.37% compared to the PSS-Lead Lag method. Meanwhile the average settling time value of speed is 50.7%.
Improved Droop Control Based on Modified Osprey Optimization Algorithm in DC Microgrid Aribowo, Widi; Suryoatmojo, Heri; Pamuji, Feby Agung
Journal of Robotics and Control (JRC) Vol 5, No 3 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i3.21347

Abstract

In this research, a modified Osprey optimization algorithm (MOOA) is presented to optimize droop control parameters. MOOA is a modification of the Osprey optimization algorithm by adding levy flight which has the advantage of exploiting a wider space and being adaptive to environmental changes. This research also modifies droop control, Proportional Integral Derivative (PID) is applied to secondary control. PID has flexibility in responding to changes in system conditions and fast response in dealing with system changes. The PID parameters are optimized using MOOA and are called MOOA-PID. The MOOA method is validated using 23 CEC2017 benchmarks-function and performance on DC microgrid systems. This research uses the latest algorithms as a comparison, namely One-to-One Based Optimizer (OOBO), Preschool Educational Optimization Algorithm (PEOA), and the red-tailed hawk (RTH) algorithm in testing 23 CEC2017 benchmark functions. From the simulation of the 23 CEC2017 benchmark function, it is known that the MOOA method has better capabilities. MOOA has advantages in 15 out of 23 benchmark functions. In DC microgrid system testing, MOOA-PID is compared with the Proportional Integral (PI) method which is optimized with MOOA and is called MOOA-PI. Testing on the microgrid is aimed at determining the performance of the transient response of power, voltage and current in the system. Tests on DC microgrid systems found that the application of MOOA-PID in secondary control had better capabilities than MOOA-PI. The average value of voltage overshoot from MOOA-PID is 9.828% better than MOOA-PI. The average ITSE MOOA-PID score is 22.3% better than MOOA-PI.
Monitoring DC Motor Based On LoRa and IOT Suhermanto, Dimas Ahmad Nur Kholis; Aribowo, Widi; Shehadeh, Hisham A.; Rahmadian, Reza; Widyartono, Mahendra; Wardani, Ayusta Lukita; Hermawan, Aditya Chandra
Journal of Robotics and Control (JRC) Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i1.19642

Abstract

Electrical energy efficiency is a dynamic in itself that continues to be driven by electrical energy providers. In this work, long-range (LoRa) technology is used to monitor DC motors. In the modern world, IoT is becoming increasingly prevalent. Embedded systems are now widely used in daily life. More can be done remotely in terms of control and monitoring. LoRa is a new technology discovered and developing rapidly. LoRa technology addresses the need for battery-operated embedded devices. LoRa technology is a long-range, low-power technology. In this investigation, a LoRa transmitter and a LoRa receiver were employed. This study employed a range of cases to test the LoRa device. In the first instance, there are no barriers, whereas there are in the second instance. The results of the two trials showed that the LoRa transmitter and receiver had successful communication. In this study, the room temperature is used to control DC motors. So that the DC motor's speed adjusts to fluctuations in the room's temperature. Additionally, measuring tools and the sensors utilised in this investigation were contrasted. The encoder sensor and the INA 219 sensor were the two measured sensors employed in this study. According to the findings of the experiment, the tool was functioning properly.
Rancang Bangun Akuarium Dengan Pengkondisian PH Air Otomatis Berbasis PLTS Khoriri, Doddy Nur; Hermawan, Aditya Chandra; Aribowo, Widi; Wardani, Ayusta Lukita
Elposys: Jurnal Sistem Kelistrikan Vol. 11 No. 1 (2024): ELPOSYS vol. 11 no. 1 (2024)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v11i1.4892

Abstract

Many people in Indonesia keep freshwater ornamental fish, including guppy fish (Poecilia reticulata), green growth fish (Gyrinocheilus aymonieri), neon tetra fish (Paracheirodon innesi). Neon tetra fish are popular because of their distinctive striking and bright body lines, while guppy fish are kept because of their ease of care and beautiful color variations, especially in male guppies. Guppy fish can grow well at temperatures of 22°C - 27°C and pH 6.5-7.2. Because managers are busy, this becomes an obstacle in fish cultivation, because the water quality that determines fish development becomes unstable. The results of the PLTS output test for 7 days 7 hours per day from 09.00 – 15.00 WIB can charge the battery with an average voltage of 13.89 V and an average current of 1.2 A and an average power of 14.15 W and can run for 24 hours. O'clock. Testing the battery for 7 days and 7 hours from 09.00 – 15.00 WIB can meet power needs for 24 hours with an average battery voltage of 13.36 V and an average current of 0.71 A. Meanwhile, the test results for the servo motor with a feed weight of 2, 45 grams and a servo motor delay of 2 seconds. Testing the pH of the water using a pH pump showed a change from the initial value of 8.06 to 6.91 and was measured with the PH4502C sensor. Tests without a PH pump showed an increase in changes from the initial pH value of 7.76 to 8.05.
Desain Pembangkit Listrik Tenaga Surya Off-Grid dan Monitoring Berbasis Node-Red Arief, Muhammad Baharuddin; Widyartono, Mahendra; Aribowo, Widi; Wardani, Ayusta Lukita
Elposys: Jurnal Sistem Kelistrikan Vol. 11 No. 1 (2024): ELPOSYS vol. 11 no. 1 (2024)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v11i1.4906

Abstract

In new renewable energy, the abundant potential of solar energy in Indonesia needs to be utilized effectively, especially in vocational canteens for the purposes of lights and fans. This research aims to design and build an off-grid solar power generation system and Node-Red-based monitoring at the Canteen. The research method used is experimentation through direct observation at the vocational canteen. The tests carried out are the system of SPGS which includes voltage, current, and power and testing monitoring by system sensors and temperature sensors for 5 hours per day in two days. The results obtained are the voltage in the system both panel voltage, AC voltage, and battery voltage are stable and do not exceed the specifications of solar panels. However, the current has increased and decreased although not too drastically and the battery has only decreased by 10%. This is due to the influence of the weather during testing and is not affected by the load power because it does not exceed specifications. In addition, the system sensor has an error of no more than 2% so it can be said that if this system functions optimally and as expected, it can be developed more to save energy.
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.
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 Alfarid Hendro Yuwono Aljohani, Abeer Amaliah, Fithrotul Irda Anita Susanti Arief, Muhammad Baharuddin Arief, Rozihan Ariyanti, Karin Nur Fitria Ariyanto, Sudirman Rizki Arrashid, Rakhmad Arrashid, Rakhmad Agus As'ad Shidqy Aziz As’ad Shidqy Aziz Ayusta Lukita Wardani B, Nur Vidia Laksmi B., I Gusti Putu Asto Bambang Suprianto . Daeng Rakhmatullah Danang Aji Basudewa DIDIK PURWANTO Diego Oliva Dwi, Mochamad Hanif Edy Kurniawan Effendi, Moh. Zaenal Elsayed Abd Elaziz, Mohamed Erina Rahmadyanti Euis Ismayati Farid Baskoro Faruqi, Muhammad Ismail Feby Agung Pamuji Fendi Achmad Firdaus, Muhammad Riqi Fithrotul Irda Amaliah Fransisca, Yulia Hafid Al azzah Haratama, Kusuma Refa Heri Suryoatmojo Hermawan , Aditya Chandra Hermawan,, Aditya Chandra Hisham A. Shehadeh Ibrohim Ibrohim Ibrohim Igo Nanda Deka Zaymapa Ilham Amarulloh Isaac, Jacob Raglend Ismet Basuki Joko Joko Kevin Pranata Putra Khoirul Anwar Khoriri, Doddy Nur Laith Abualigah Liu, Tian-Hua Lucia Tri Pangesthi Lukita Wardani, Ayusta Luthfiyah Nurlela Ma'arif, Muhammad Fikrul Mahendra Widiyartono 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 Nita Kusumawati Nugrahani Astuti Nugroho, Yuli Sutoto Nur Vidia Laksmi B Nurdiansyah, Aristyawan Putra Nurlita, Ita Nurul Jaizah Oliva, Diego Pradipta, Moh. Alfiansyah Putera Putra, Alfredo Arianto Permana Putra, Andreas Perkasa Putro, Wahyu Sasongko R. Endro Wibisono Raden Mohamad Herdian Bhakti Rahmadian, Reza Rahmatullah, Daeng Rakhmad Agus Arrashid Ridwan, M. Nanda Tri Maulana Rina Harimurti Rosalin, Berliana Dzakiyya Rufi'i Ruzairi Abdul rahim Sabo Aliyu Sabo, Aliyu Salam, Muhammad Abdus Shehadeh, Hisham Shehadeh, Hisham A. Shidqy Aziz, As'ad Siti Sulandjari Soleimanian Gharehchopogh, Farhad Sri . Handayani Sri Dwiyanti Subuh Isnur Haryudo Suhermanto, Dimas Ahmad Nur Kholis Supari Muslim Supari Supari Syamsul Muarif Taufiqur Rohman Toufik Mzili Udin, Muhammad Syafi Umar, Abubakar Umaroh, Susi Tri Unit Three Kartini Wicaksono, Mochamad Hanif Dwi Widiyartono, Mahendra Wiyli Yustanti WRAHATNOLO, TRI YUNI YAMASARI Zahrotul Maulia Zangana, Hewa Majeed Zaymapa, Igo Nanda Deka