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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) 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 Jurnal Teknologi Elekterika Jurnal Teknik Elektro dan Komputasi (ELKOM) 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 Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics

Novie Ayub Windarko

Politeknik Elektronika Negeri Surabaya

Author-ID : 418481

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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Rancang Bangun Adaptive Neuro-Fuzzy Inference System (ANFIS) untuk Estimasi State-of-Charge (SOC) Baterai Salsabila, Regina; Windarko, Novie Ayub; Sumantri, Bambang
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 1 (2025): Volume 10 Nomor 1, Februari 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i1.2148

The growing demand for energy around the world is driving the development of renewable resources, and batteries are the primary choice for energy storage. To carry out effective energy management, State of Charge (SOC) estimation of Lithium-ion batteries is essential. The development of an Adaptive Neuro-Fuzzy Inference System (ANFIS) model for SOC estimation using LG 18650 HG2 battery dataset is the objective of this research. It is tested with two parameters, namely two inputs consisting of voltage and current; and three inputs consisting of voltage, current, and temperature. The shape of the membership function, number of nodes, and epochs are some of the indicators tested to find the best configuration. The results show that the three-input configuration with generalized-bell membership function (Gbell MF), five nodes, and 100 epochs has the smallest Root Mean Square Error (RMSE), which is 0.0317, compared to the best two-input configuration, which has an RMSE of 0.0527. Since the three-input configuration takes longer to train, further improvements are needed for real-time implementations such as in electric vehicle battery management systems.

Indirect Sliding Mode Control Sebagai Pengendali Kecepatan Motor DC Dengan Buck-Converter Husnu Zain, Habibi Mushthofa; Windarko, Novie Ayub; Nugraha, Syechu Dwitya
Jurnal Teknologi Elektro Vol 14, No 3 (2023)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2023.v14i3.005

Sliding Mode Control merupakan salah satu kontrol non-linear yang banyak digunakan karena kesederhanaan dalam penerapannya dan dapat diterapkan pada sistem linear maupun non-linear. Modulasi pada Sliding Mode Control dapat menggunakan histerisis maupun PWM. Penelitian ini menjelaskan desain Sliding Mode Control dengan modulasi PWM yang digunakan untuk mengatur kecepatan motor dc menggunakan buck converter. Desain Sliding Mode Control dimulai dengan pemodelan dinamis yang kemudian direpersentasikan dalam bentuk state-space. Tahapan pencarian existance condition dan equivalent control juga akan dibahas. Hasil desain kontrol diverifikasi secara simulasi menggunakan MATLAB/Simulink dan secara eksperimen.

Implementasi Adaptive Neuro Fuzzy Inference System (ANFIS) untuk Estimasi Kecepatan Motor Induksi Ramdani, Dicky Rivaldo; Windarko, Novie Ayub; Purwanto, Era
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 4 (2025): Volume 10 Nomor 4, November 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i4.1990

Three-phase induction motors are a major component in industrial machinery due to their simple construction, robustness, relatively low cost, easy maintenance, and high reliability. However, these motors have disadvantages in speed regulation due to their non-linear characteristics, which cause difficulties in maintaining a constant speed when the load changes. This research aims to maintain the speed of induction motors to remain constant by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. This ANFIS method goes through the stages of data collection, data processing, ANFIS system design, ANFIS training, validation testing, and finally analyzing the results. The input of the induction motor speed estimation system is through a mathematical equation model in d-q coordinates. The output of this system is speed. In this study, training and testing variations. The smallest RMSE result obtained is with the Trapzeium membership function architecture with the number of epochs 100 of 0.0187542.

MPPT algorithm based on modified remora optimization algorithm for photovoltaic systems under partial shading conditions Efendi, Moh. Zaenal; Adnaurrosyid, Akhmad; Habibi, Muhammad Nizar; Eviningsih, Rachma Prilian; Windarko, Novie Ayub; Jati, Mentari Putri
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1257

The increasing electricity demand, driven by the growing human population, has led to the need for efficient backup power sources. Solar panels are one of the renewable energy sources that have been widely developed because they only require solar energy as their primary source. However, the phenomenon of partial shading is often a problem in solar panels because it can reduce the output power of the solar panel system, which is caused by shadows from trees or clouds. In this condition, conventional maximum power point tracking (MPPT) algorithms are often limited to the local maximum power point (LMPP). To effectively attain the global maximum power point (GMPP), it is imperative to devise more efficient algorithms. The modified remora optimization algorithm (MROA) has been proposed as a potential solution to this challenge. MROA is an adaptation of the remora optimization algorithm (ROA), inspired by the behavior of remora fish. The results indicate that the algorithm achieves an average accuracy of approximately 99.13 % in both simulation and hardware implementations. Furthermore, when comparing the results of the MROA with those of the original ROA method and particle swarm optimization (PSO), the MROA exhibited superior accuracy, tracking time, and power gain, suggesting that the MROA algorithm effectively circumvents the limitation of the local maximum power point.

Tunicate swarm algorithm based maximum power point tracking for photovoltaic system under non-uniform irradiation Sholikhah, Evi Nafiatus; Windarko, Novie Ayub; Sumantri, Bambang
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp4559-4570

A new maximum power point tracking (MPPT) technique based on the bio-inspired metaheuristic algorithm for photovoltaic system (PV system) is proposed, namely tunicate swarm algorithm-based MPPT (TSA-MPPT). The proposed algorithm is implemented on the PV system with five PV modules arranged in series and integrated with DC-DC buck converter. Then, the PV system is tested in a simulation using PowerSim (PSIM) software. TSA-MPPT is tested under varying irradiation conditions both uniform irradiation and non-uniform irradiation. Furthermore, to evaluate the performance, TSA-MPPT is compared with perturb & observe-based MPPT (P&O-MPPT) and particle swarm optimization-based MPPT (PSO-MPPT). The TSA-MPPT has an accuracy of 99% and has a reasonably practical capability compared to the MPPT technique, which already existed before.

AC-DC PFC Converter Using Combination of Flyback Converter and Full-bridge DC-DC Converter Efendi, Moh. Zaenal; Rizal, Abdul; Erzanuari, Aldi; ., Suryono; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 2 No 1 (2014)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

This paper presents a combination of power factor correction converter using Flyback converter and Full-bridge dc-dc converter in series connection. Flyback converter is operated in discontinuous conduction mode so that it can serve as a power factor correction converter and meanwhile Full-bridge dc-dc converter is used for dc regulator. This converter system is designed to produce a 86 Volt of output voltage and 2 A of output current. Both simulation and experiment results show that the power factor of this converter achieves up to 0.99 and meets harmonic standard of IEC61000-3-2.Keywords: Flyback Converter, Full-bridge DC-DC Converter, PowerÂ Factor Correction.

Fuzzy Gain Scheduling of PID (FGS-PID) for Speed Control Three Phase Induction Motor Based on Indirect Field Oriented Control (IFOC) Ferdiansyah, Indra; Purwanto, Era; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 4 No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

This paper propose about using PID control system based on Kp, Ki, and Kd parameter determination with scheduling process from fuzzy logic. Control system is used to arrange speed of three phase induction motor using IFOC method. This method can be minimized the main problem from speed control of induction motor which is a transient condition. The robustness validation from this system use testing process of dynamic speed which is compared with the other control system to know the system performance in transient condition such as (rise time, overshoot, undershoot and settling time). The result shows using the proposed system has better performance responses which is requiring 0.001 seconds time in transient condition up to steady state condition without overshoot and undershoot problem.

Comparative Study of Modulation-Based Individual Inverter Techniques for Direct and Inverse by using Star-Connection Induction Motor in Extra Low Voltage Application Wishnuprakasa, Ardhia; Purwanto, Era; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 4 No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

In this study, the IEEE 519 Standard as a basis benchmarking for voltage (THDV) and current (THDI) in draft performance. Comparative Study based onthree-techniques of 2-Level Converter (2LC) by using a Star-Connection Induction Motor (Y-CIM) in ExtraLow Voltage (ELV) Configuration.For the detail explanation, a primary inverter as Direct-Inverterby PWMdirect (PWM) degreesand asecondary inverter as Inverse-Inverterby PWMinverse(PWM + PI) degrees. It tends a modified algorithm,for eachof SPWM in six rules, and FHIPWM in 5th harmonics Injectedin standard modulation as the purpose for the Open-Ends of Pre-Dual Inverter in Decoupled SPWM for twelve rules, and Decoupled FHIPWM in combination of 5th harmonics Injectedin combination of two-standard-modulation. Those techniques are the purpose of two-inverter combination, which namelythe Equal Direct-Inverse (EDI) algorithmproduct of prototyping in similarities. The observation is restricted in voltage scope between Simulation by using Power Simulator (PSIM)and Application by using Microcontroller ARM STM32F4 Discovery.

Reduction of Total Harmonic Distortion (THD) on Multilevel Inverter with Modified PWM using Genetic Algorithm Raharja, Lucky Pradigta Setiya; Q., Ony Asrarul; Arief, Zainal; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 5 No 1 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

In this research, modified PWM has been applied to the multilevel inverter (MLI) single-phase three-level diode clamp full bridge. Modified PWM is performed to produce minimum Total Harmonic Distortion (THD) the voltage because the quality of the good voltage is indicated by small THD. The THD indicates the quality of AC voltage source. The THD standard by the IEEE STD 519-1992 Harmonic Voltage Limits is 5% and the Pacific Corp standard is 8%, if the THD value is greater than the THD standard it can cause the electronic load to be damaged due to the damaged waveform. Modified PWM is applied by adding a 50 Hz sinusoidal reference signal with a sinusoidal signal which has a certain amplitude, frequency and phase shift angle. The frequency of the adder signal is the frequency at which the value of the individual harmonic voltage appears (n harmonic). To get maximum result, optimization using Genetic Algorithm (GA) method to determinate amplitude & phase shift angle done. The result of implementation hardware with modified PWM shows smaller THD voltage compared to the THD voltage with Sinusoidal Pulse Width Modulation (SPWM) switching up to 0.19 or decrease 65,51 % for modified PWM of harmonic injection n = 7 with GA optimization ma= 0.8 (A=0.0936 and Ã¸ = 0 rad) and up to 0.08 or decrease 12,30 % for modified PWM of harmonic injection n = 22 with GA optimization ma = 0.4 (A=0.1221 and Ã¸ = 0 rad).

A Full-Bridge Bidirectional DC-DC Converter with Fuzzy Logic Voltage Control for Battery Energy Storage System Prasetyono, Eka; Sunarno, Epyk; Fuad, Muchamad Chaninul; Anggriawan, Dimas Okky; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Renewable energy sources require an energy storage system because its are fluctuating and electricity producing at certain times, even sometimes not in accordance with the needs of the load. To maintain continuity of electricity, smart battery energy storage system is needed. Therefore, this paper of a full-bridge bidirectional DC-DC Converter (FB-BDC) with Fuzzy Logic Control (FLC) is designed and implemented for battery energy storage application. The FLC has error and delta error of voltage level as input and duty cycle of FB-BDC as output. The FB-BDC is controlled by a microcontroller ARM Cortex-M4F STM32F407VG for voltage mode control. The FB-BDC topology is selected becuase battery storage system needed isolated and need high voltage ratio both for step-up and step-down. The main purpose of FB-BDC to perform bidirectional energy transfer both of DC-Bus and battery. Moreover, FB-BDC controls the DC-Bus voltage according to referenced value. The power flow and voltage on DC-Bus is controlled by FLC with voltage mode control. The experiment result shows the ability of FLCÂ voltage mode control to control FB-BDC on regulate charging voltage with an error 1% and sharing voltage 1.5% form referenced value.

Co-Authors - Sutedjo Abdilla, M. Rafi Damas Abdilla, Moch Rafi Damas Abdul Rizal, Abdul Abdurrahman, Rizqy Abdussalam, Muhammad Zayyana ACHMAD AFANDI Achmad Afandi, Achmad Adnaurrosyid, Akhmad Ahmad Firyal Adila Akhmad Puryanto Aldi Erzanuari, Aldi ALDIANTAMA, GIGIH HERNAIN NANDA Alvin Noer Ramadhan Alwi Daffa` Rosydi Amrullah, Haniifan Patra Anang Tjahjono, Anang Anggara Trisna Nugraha Arief Rahmadani Arini, Nu Rhahida Armanto, Ony Ashary, Wima 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 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 Kadek Reda Setiawan Suda Khafidli, Muhammad Khanif 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 Muchammad Ruben Imawan Muhammad Abdul Haq Muhammad Farizky Alvianandy Muhammad Prihadi Eko Wahyudi Muhammad Wildan Alim Muhtar, Muhdalifah Naafilah Widya Mulya Nugraha, Syechu Dwitya Prakoso, Rifqi Noviantono Prasetya, Farhan Dwi Puspita Ningrum Q., Ony Asrarul Q., Ony Asrarul Qoriatul Fitriyah Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Ragil Wigas Wicaksana Ramdani, Dicky Rivaldo Renny Rakhmawati, Safira Nur Hanifah, Renny Rakhmawati, Rheinanda, Audya Elisa Rizal Nurdiansyah Rizqy Abdurrahman Romadloniyah, Nur Shinta S Aisyah Salsabila, Regina Setiawardhana Setiawardhana, Setiawardhana Sholikhah, Evi Nafiatus 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 Wishnuprakasa, Ardhia Yusvida, Rizka Zainal Arief

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