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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Majalah Ilmiah Teknologi Elektro Rotasi Jurnal Pendidikan Teknologi dan Kejuruan Mechatronics, Electrical Power, and Vehicular Technology Semesta Teknika Jurnal Teknologi Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Briliant: Jurnal Riset dan Konseptual JTT (Jurnal Teknologi Terpadu) INVOTEK: Jurnal Inovasi Vokasional dan Teknologi JURNAL INTEGRASI INOVTEK POLBENG Techne : Jurnal Ilmiah Elektroteknika Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Teknologi Elekterika Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal INOVTEKSeri Elektro JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi J-Innovation Jurnal Ilmiah Teknik Elektro Jurnal Rekayasa elektrika Suara Teknik : Jurnal Ilmiah The Indonesian Journal of Computer Science Emitor: Jurnal Teknik Elektro Majalah Ilmiah Teknologi Elektro Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Novie Ayub Windarko
Politeknik Elektronika Negeri Surabaya
Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation Other

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State of charge estimation of ultracapacitor based on equivalent circuit model using adaptive neuro-fuzzy inference system Rizal Nurdiansyah; Novie Ayub Windarko; Renny Rakhmawati; Muhammad Abdul Haq
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 13, No 1 (2022)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2022.v13.60-71

Abstract

Ultracapacitors have been attracting interest to apply as energy storage devices with advantages of fast charging capability, high power density, and long lifecycle. As a storage device, accurate monitoring is required to ensure and operate safely during the charge/discharge process. Therefore, high accuracy estimation of the state of charge (SOC) is needed to keep the Ultracapacitor working properly. This paper proposed SOC estimation using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The ANFIS is tested by comparing it to true SOC based on an equivalent circuit model. To find the best method, the ANFIS is modified and tested with various membership functions of triangular, trapezoidal, and gaussian. The results show that triangular membership is the best method due to its high accuracy. An experimental test is also conducted to verify simulation results. As an overall result, the triangular membership shows the best estimation. Simulation results show SOC estimation mean absolute percentage error (MAPE) is 0.70 % for charging and 0.83 % for discharging. Furthermore, experimental results show that MAPE of SOC estimation is 0.76 % for random current. The results of simulations and experimental tests show that ANFIS with a triangular membership function has the most reliable ability with a minimum error value in estimating the state of charge on the Ultracapacitor even under conditions of indeterminate random current.
Sistem Baterai Cell Balancing Pasif Menggunakan Kontrol Logika Fuzzy Tipe Mamdani untuk Baterai Pack Lithium Moh Rifqi Faqih; Novie Ayub Windarko; Endro Wahjono
J-Innovation Vol. 10 No. 2 (2021): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (486.215 KB) | DOI: 10.55600/jipa.v10i2.111

Abstract

Lithium-ion batteries have been widely used in energy storage for electric vehicle and hybrid vehicle applications. After several cycles of charging and discharging, there is one cell whose performance and capacity decreases, causing the performance and capacity of the battery pack to decrease so that it cannot work optimally. So it is necessary to design a cell voltage balancing system to minimize cell voltage imbalance in the charging process. Passive balancing is widely implemented because of its simplicity, reliability, and relatively low cost. The balancing process must be carried out as quickly as possible as the battery is charging, so a PWM ignition technique using mamdani fuzzy is needed to discharge an unbalanced battery cell. The result are compared with no balancing system, fixed balancing 50% duty cycle system, and sugeno fuzzy logic balancing system. From the simulation result, using mamdani fuzzy the final delta voltage value is 0.0344 volt, energy charged is 58.18 Wh and the final State of Charge is 74%. When compared with other balancing method, it shows that using mamdani fuzzy logic method is more optimal because the final of delta voltage value is very small and the battery capacity charged is larger than other method.
MAXIMUM POWER POINT TRACKING PADA IRADIASI DAN SUHU BERFLUKTUASI BERBASIS FUZZY TYPE-2 Naafilah Widya Mulya; Novie Ayub Windarko; Rachma Prilian Eviningsih
J-Innovation Vol. 10 No. 2 (2021): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.296 KB) | DOI: 10.55600/jipa.v10i2.112

Abstract

The potential of solar energy in Indonesia can be utilized as renewable energy and become one of the main alternative energy sources for power generation. The characteristics of solar panels will change depending on radiation levels and temperatures causing the power output of solar panels to fluctuate and become unstable. To reduce oscillations in output power, a study is needed to maximize the output power on solar panels, namely by using the Maximum Power Point Tracking (MPPT) method by using DC - DC circuits in the form of Cuk Converters using fuzzy type 2 controls to get optimal power values on the output. Test results using MATLAB / SIMULINK showed that in model 1 when irradian conditions 1000W / m2 with a temperature of 25 oC using Fuzzy Type 1 the accuracy obtained is 97.5% and using Fuzzy Type 2 the accuracy obtained is 100.2%. In model 2 when irradian conditions 1000 W / m2 with a temperature condition of 40oC using Fuzzy Type 1 the accuracy obtained is 94.3% and using Fuzzy Type 2 the accuracy obtained is 93.1%.
Perbandingan Metode MPPT Incremental Conductance Incremental Resistance dan Hill Climbing dengan PSIM Dimas Nur Prakoso; Achmad Afandi; Miftahul Arrijal; Rizqy Abdurrahman; Novie Ayub Windarko
Jetri : Jurnal Ilmiah Teknik Elektro Jetri, Volume 17, Nomor 2, Februari 2020
Publisher : Website

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (834.963 KB) | DOI: 10.25105/jetri.v17i2.6076

Abstract

Increasing energy requirements require us to create renewable energy that is environmentally friendly such as utilizing sunlight. By using tracking techniques such as Maximum Power Point Tracking (MPPT) will produce maximum power so that the solar cell works efficiently. The MPPT method which is simulated in this PSIM software is Incremental Conductance, Incremental Resistance and Hill Climbing. By implanting the MPPT Incremental Conductane Method in the solar cell, a maximum power of 91,47 Watt will be generated with a time of 0.018 seconds, whereas if implanting the MPPT Incremental Resistance method in a solar cell will get a maximum power of 90.35 watt, a faster time than the previous method, and if implanting the MPPT Hill Climbing method to make the solar cell efficient it is necessary to add the KMPP value equal to 5 to get the maximum MPP value and not oscillate. So the Incremental Conductance method by adding a variable step size should be use to search the maximum power from all three methods . Kebutuhan energi yang semakin tinggi mengharuskan kita untuk menciptakan energi terbarukan yang ramah lingkungan seperti memanfaatkan cahaya matahari. Dengan menggunakan Teknik tracking seperti Maximum Power Point Tracking MPPT (MPPT) akan menghasilkan daya yang maksimal sehingga solar cell bekerja secara efesien.  Metode MPPT yang disimulasikan di software PSIM ini adalah Incremental Conductance, Incremental Resistance dan Hill Climbing. Dengan menanamkan Metode MPPT Incremental Conductane pada solar cell maka akan dihasilkan daya maksimum sebesar 91,47 Watt dengan waktu 0,018 detik, sedangkan jika menanamkan metode MPPT Incremental Resistance pada solar cell akan di dapatkan daya maksimum sebesar 90,35 watt dengan waktu yang lebih cepat dari metode sebelumnya, dan jika menanamkan metode MPPT Hill Climbing untuk mengefisienkan solar cell diharuskan menambahkan nilai KMPP sama dengan 5 untuk  mendapatkan nilai MPP yang maksimal dan tidak berosilasi. Jadi jika untuk mencari daya yang sangat maksimal dari ketiga metode sebaiknya menggunakan metode Incremental Conductance dengan menambahkan variable step size.
Maximum power point tracking based on improved spotted hyena optimizer for solar photovoltaic Muhammad Farizky Alvianandy; Novie Ayub Windarko; Bambang Sumantri
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp5775-5788

Abstract

The conventional maximum power point tracking (MPPT) method such as perturb and observe (P&O) under partial shading conditions with non-uniform irradiation, can get trapped on local maximum power point (LMPP) and cannot reach global maximum power point (GMPP). This study proposes a bio-inspired metaheuristic algorithm spotted hyena optimizer (SHO) and improved SHO as a new MPPT technique. The proposed SHO-MPPT and improved SHO-MPPT are used to extract GMPP from solar photovoltaic (PV) arrays operated under uniform irradiation and non-uniform irradiation. Simulation with Powersim (PSIM) and experimental with the emulated PV source were presented. Furthermore, to evaluate the performance of the proposed algorithm, SHO-MPPT is compared with P&O-MPPT and particle swarm optimization (PSO)-MPPT. The SHO-MPPT has an accuracy of 99% and has the good capability, but there are power fluctuations before reaching MPP. Therefore, improved SHO-MPPT was developed to get better results. The improved SHO-MPPT proved high accuracy of 99% and faster than SHO-MPPT and PSO-MPPT in tracking the maximum power point (MPP). Furthermore, there are minor power fluctuations.
Rancang Bangun Sistem Monitoring Suhu dan Kelembapan serta Kendali Dua Heater pada Kubikel 20 kV Berbasis Sistem Informasi Geografis Arief Rahmadani; Novie Ayub Windarko; Lucky Pradigta Setiya Raharja
Jurnal Teknologi Elektro Vol 21 No 2 (2022): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i02.P09

Abstract

One of the disturbances that occur in the medium-voltage switchgear or cubicle 20 kV one of the disturbances that occur in cubicle 20 kV is when the temperature and humidity conditions are high, then one-day water vapor will arise that sticks to the cubicle wall and affects the corona. Therefore, the cubicle has a heater to heat the space to maintain the humidity. However, when in the field, the heater performance condition is often less than optimal and does not work. Under these conditions, a temperature and humidity monitoring system and a control system for two heaters are needed to prevent damage to the heater. The system is built using the STM32F103C8T6 microcontroller, the DHT-22 sensor is equipped with an exhaust fan to maintain the cubicle termination room temperature. The minimum permissible temperature parameter is 35 C to a maximum limit of 40 C with humidity below 90% following the cubicle brand datasheet, Schneider, and IEC 62271-1 standard. Furthermore, the data from the monitoring can be displayed on the LCD and a website-based Geographic Information System. With this tool, it can facilitate the community, especially the PLN, in the process of monitoring and maintaining cubicles 20 kV.
Maximum Power Point Tracking Menggunakan Algoritma Artificial Neural Network Berbasis Arus Hubung Singkat Panel Surya Muhammad Nizar Habibi; Mas Sulung Wisnu Jati; Novie Ayub Windarko; Anang Tjahjono
Jurnal Rekayasa Elektrika Vol 16, No 2 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1434.609 KB) | DOI: 10.17529/jre.v16i2.14860

Abstract

The conversion of solar energy into electrical can be utilized by using the solar panel, but the energy conversion ratio is still low. Maximum Power Point Tracking (MPPT) is a method used to increase energy production in the process of converting electrical to the solar panel. Artificial Neural Network (ANN) is one of the soft-computing methods that can be applied as MPPT with the advantage of having a learning process, very stable, fast, doesn’t require complicated mathematical modeling, and has good performance. ANN is proposed with input from the short circuit current of the solar panel and is used as a reference for the ANN to reach the maximum power. The process of detecting a short circuit current is indicated by a momentary decrease of the power by the solar panel. The results show the proposed algorithm can reach the maximum power operating point of the solar panel despite the change of radiation. When at maximum power operating point, ANN can hold the value, so the resulting value doesn’t change and doesn’t generate ripple. At radiation of 1000 W/m2 and using 100 WP, ANN can produce a maximum power of 99.97 Watts with a time of 0.063 seconds. 
Maximum Power Point Tracking Menggunakan Algoritma Artificial Neural Network Berbasis Arus Hubung Singkat Panel Surya Muhammad Nizar Habibi; Mas Sulung Wisnu Jati; Novie Ayub Windarko; Anang Tjahjono
Jurnal Rekayasa Elektrika Vol 16, No 2 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i2.14860

Abstract

The conversion of solar energy into electrical can be utilized by using the solar panel, but the energy conversion ratio is still low. Maximum Power Point Tracking (MPPT) is a method used to increase energy production in the process of converting electrical to the solar panel. Artificial Neural Network (ANN) is one of the soft-computing methods that can be applied as MPPT with the advantage of having a learning process, very stable, fast, doesn’t require complicated mathematical modeling, and has good performance. ANN is proposed with input from the short circuit current of the solar panel and is used as a reference for the ANN to reach the maximum power. The process of detecting a short circuit current is indicated by a momentary decrease of the power by the solar panel. The results show the proposed algorithm can reach the maximum power operating point of the solar panel despite the change of radiation. When at maximum power operating point, ANN can hold the value, so the resulting value doesn’t change and doesn’t generate ripple. At radiation of 1000 W/m2 and using 100 WP, ANN can produce a maximum power of 99.97 Watts with a time of 0.063 seconds. 
PENGATURAN KECEPATAN MOTOR INDUKSI DENGAN METODE Vf DAN KONTROL PI-FUZZY Bima Dwi Priya Setiawan; Muhammad Nizar Habibi; Novie Ayub Windarko; - Sutedjo
Suara Teknik : Jurnal Ilmiah Vol 11, No 2 (2020): Suara Teknik: Jurnal Ilmiah
Publisher : Fakultas Teknik UM Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29406/stek.v11i2.2047

Abstract

Motor induksi memiliki konstruksi yang kokoh dan perewatan sederhana sehingga motor induksi menjadi kebutuhan utama di industri. Pengaturan kecepatan motor induksi merupakan salah satu kondisi operasi yang sering digunakan sehingga diperlukan kontrol umpan balik dengan tingkat error yang rendah.. Untuk memenuhi hal tersebut telah diterapkan seperti kontrol PI. Kontrol PI dapat mencakup berbagai kondisi operasi yang lebih luas dan mudah disesuaikan, namun kontrol ini masih memiliki kelemahan dalam proses tuning nilai parameter. Meskipun terdapat metode dalam proses tuning parameter PI, metode tersebut masih kurang sesuai sehingga sering terjadi ketidaktepatan parameter yang dapat mengakibatkan error cukup besar. Salah satu cara yang diterapkan dengan memanfaatkan kontrol logika fuzzy. Kontrol yang biasa disebut PI-Fuzzy merupakan kontrol yang memanfaatkan logika fuzzy sebagai metode tuning parameter pada kontrol PI. Dalam jurnal ini kinerja pengaturan kecepatan motor induksi yang dikendalikan dengan metode V/f dievaluasi menggunakan kontrol PI-Fuzzy secara tertutup. Parameter PI (KP) didapat melalui kontrol logika fuzzy dan KI didapat melalui metode Ziegler Nichols. Dengan set point sebesar 1200 rpm, kontrol PI-Fuzzy dapat menghasilkan kecepatan keluaran sebesar 1204 rpm. Setelah beberapa kali disimulasikan kontrol ini mampu mencapai error sebesar 0.3%..
Improvisasi Metode Biseksi pada Maximum Power Point Tracking (MPPT) dengan Menggunakan Algoritma Incremental Conductance Habibi, Muhammad Nizar; Windarko, Novie Ayub; Efendi, Moh. Zaenal; Eviningsih, Rachma Prilian; Mahendra, Luki Septya; Junianto, Sony
ROTASI Vol 26, No 1 (2024): VOLUME 26, NOMOR 1, JANUARI 2024
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/rotasi.26.1.52-61

Abstract

The solar energy potential reaches 207.8 GWp in Indonesia, providing numerous opportunities to harness renewable energy. One approach is utilizing solar panels; however, these panels have a low energy conversion rate. Maximum Power Point Tracking (MPPT) is a technique that can maximize the performance of solar panels to consistently generate maximum power. Bisection MPPT is implemented in the system due to its ease of implementation, but it performs less effectively under low irradiance. The Incremental Conductance algorithm is a suitable choice for improving Bisection MPPT. Apart from being easy to implement, the Incremental Conductance algorithm is not dependent on the characteristics of the solar panel. It also features Variable Step Size to eliminate ripple when reaching the maximum power of the solar panel. Incremental Conductance MPPT can enhance Bisection MPPT with a maximum increase of 17,483 Watts. The Bisection-Incremental Conductance MPPT algorithm takes 2.122 seconds to reach the maximum power of the solar panel, generating 1.89 x 10^6 Ws of energy for 0.4 seconds. It yields the highest value compared to Bisection MPPT and Incremental Conductance MPPT.
Co-Authors - Sutedjo Abdilla, M. Rafi Damas Abdilla, Moch Rafi Damas Abdul Rizal Abdul Rizal, Abdul Abdurrahman, Rizqy Abdussalam, Muhammad Zayyana ACHMAD AFANDI Achmad Afandi, Achmad Ahmad Firyal Adila Akhmad Puryanto Aldi Erzanuari Aldi Erzanuari, Aldi ALDIANTAMA, GIGIH HERNAIN NANDA Alvin Noer Ramadhan Alwi Daffa` Rosydi Amran, Osamah Abdullah Yahya Amrullah, Haniifan Patra Anang Tjahjono, Anang Anggara Trisna Nugraha Ardhia Wishnuprakasa Arief Rahmadani Arini, Nu Rhahida Armanto, Ony Ashary, Wima Audya Elisa Rheinanda Bambang Sumantri Bambang Sumantri Bambang Sumantri Bima Dwi Priya Setiawan Diah Septi Yanaratri Dimas Nur Prakoso Dimas Okky Anggriawan Ebrahimi, Faizulddin Efendi, M. Zaenal Eka Prasetyono, Eka Endro Wahjono Epyk Sunarno Era Purwanto Evi Nafiatus Sholikhah Fahmi Ahyar Izzaqi Fakhruddin, Hanif Hasyier Ferdiansyah, Indra Firmansyah Nur Budiman, Firmansyah Nur Fuad, Muchamad Chaninul Gede Patrianaya Margayasa Wirsuyana Gunawan, Agus Indra Habibi, Muhammad Nizar Hasnira Hasnira Hazlie Mokhlis Husien.R, Alwi Azis Husnu Zain, Habibi Mushthofa Irianto Irianto iwan Syarif Kadek Reda Setiawan Suda Kuswadi, Son Lestyanto, Dicky Satria Nanda Loegimin, Maruto Swatara Lucky Pradigta Setiya Raharja Lucky Pradigta Setiya Raharja Luki Septya Mahendra Luluk Badriyah Mas Sulung Wisnu Jati Mentari Putri Jati Miftahul Arrijal MOCHAMAD ARI BAGUS NUGROHO Mochammad Ari Bagus Nugroho Moh Rifqi Faqih Moh. Faisal Amir Moh. Faisal Amir Moh. Zaenal Efendi Mohammad Imron Dwi Prasetyo Mohammad Imron Dwi Prasetyo Mohammad Zaenal Efendi Muchamad Chaninul Fuad Muchammad Ruben Imawan Muhammad Abdul Haq Muhammad Farizky Alvianandy Muhammad Khanif Khafidli Muhammad Prihadi Eko Wahyudi Muhammad Wildan Alim Muhtar, Muhdalifah Naafilah Widya Mulya Nugraha, Syechu Dwitya Ony Asrarul Q. Prakoso, Rifqi Noviantono Prasetya, Farhan Dwi Puspita Ningrum Q., Ony Asrarul Qoriatul Fitriyah Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Ragil Wigas Wicaksana Renny Rakhmawati, Safira Nur Hanifah, Renny Rakhmawati, Rizal Nurdiansyah Rizqy Abdurrahman Romadloniyah, Nur Shinta S Aisyah Salsabila, Regina Setiawardhana Setiawardhana, Setiawardhana Sony Junianto Suhariningsih Suhariningsih Suryono . Suryono Suryono Suryono Suryono Sutedjo Sutedjo Ummah, Karunia Vio Nita Rusyatul Wicaksana, Ragil Wigas Wima Ashary Wirsuyana, Gede Patrianaya Margayasa Wishnuprakasa, Ardhia Yusvida, Rizka Zainal Arief Zainal Arief