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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
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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Pre- Estimasi Daya Aktif pada Gedung Bertingkat dengan menggunakan Time Series Neural Network Armanto, Ony; Novie Ayub Windarko; Setiawardhana
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3766

Abstract

Penggunaan energi listrik untuk kehidupan sehari – hari semakin meningkat tanpa adanya pengawasan dan pembatasan yang mengakibatkan penggunaan energi semakin semena – mena , penggunaan energi berlebihan juga disebabkan perkembangan teknologi yang semakin memudahkan pekerjaan manusia. Namun kebutuhan energi listrik yang besar tidak disertai dengan kapasitas energi listrik yang memadai. Oleh sebab itu diperlukan sebuah metode estimasi beban listrik jangka menengah dengan menggunakan Time Series Neural Network. Penelitian ini diharapkan dapat mengurangi jumlah energi listrik yang tidak terpakai dan digunakan se efisien mungkin. Pada penelitian ini menghasilkan nilai MAPE sebesar 5.36% dan nilai RMSE sebesar 9.2
Implementation MPPT Using CUK Converter with Enchanced Haris Hawk Optimization Algorithm in Partial Shading Conditions Muhammad Nizar Habibi; Faiz Rivaldi Fi'Adha; Rahmad Habibulloh; Dhea Ayu Nirmala Sari; Hasnira; Novie Ayub Windarko
JURNAL INTEGRASI Vol. 18 No. 1 (2026): Volume 18, Nomor 1, April 2026
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v18i1.13197

Abstract

Photovoltaic system efficiency drops significantly under Partial Shading Conditions (PSC) due to multi-modal power characteristics. Conventional algorithms and standard metaheuristics like Harris Hawks Optimization (HHO) frequently suffer from premature convergence and local peak entrapment. To resolve this, an Enhanced Harris Hawks Optimization (EHHO) strategy integrated with a continuous-current CUK converter is proposed for Maximum Power Point Tracking (MPPT). EHHO revitalizes the search mechanism using logarithmic, exponential functions, and a traveling distance rate to definitively prevent local optima entrapment. Simulations verify that EHHO delivers a superior average tracking accuracy of 99.43% within 0.260 s. In direct contrast, benchmark algorithms (PSO and HHO) exhibit severe performance degradation due to deceptive local peaks. Furthermore, EHHO yields the highest cumulative energy harvest of 27.44 Ws, confirming its absolute robustness in maximizing energy extraction within dynamic environments.
Implementasi Adaptive Neuro Fuzzy Inference System (ANFIS) untuk Estimasi Kecepatan Motor Induksi Dicky Rivaldo Ramdani; Novie Ayub Windarko; Era Purwanto
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

Abstract

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.
Fractional tent map - chaotic horse herd optimization for global MPPT under partial shading conditions Rachma Prilian Eviningsih; Ewa Ari Irwansyah; Epyk Sunarno; Moh. Zaenal Efendi; Novie Ayub Windarko; Anggara Trisna Nugraha
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 17, No 1 (2026)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2026.1423

Abstract

Photovoltaic efficiency is frequently compromised by physical obstructions, resulting in partial shading conditions. This non-uniform irradiance condition severely distorts system characteristics by inducing multiple power peaks. This study proposes a novel fractional tent map-chaotic horse herd optimization (FTM-CHHO) algorithm for global maximum power point (GMPP). By integrating fractional-order memory and chaotic maps, FTM-CHHO enhances global search capabilities and prevents entrapment in local maxima. The method was rigorously validated through simulations and hardware experiments using a SEPIC converter. Simulations demonstrated that FTM-CHHO achieved 99.52 % to 100 % tracking accuracy with rapid convergence times of 0.32 to 0.62 s. Furthermore, hardware tests under real-world shading confirmed its robustness, maintaining 95.54 % to 98.26 % accuracy and converging within 10.1 s. FTM-CHHO significantly outperformed perturb and observe (P8O) and standard horse herd optimization (HHO). These findings confirm that FTM-CHHO provides a highly reliable, fast, and efficient solution for maximizing solar energy extraction under complex environmental variability.
Co-Authors - Sutedjo Abdilla, M. Rafi Damas Abdilla, Moch Rafi Damas Abdul Rizal, Abdul Abdurrahman, Rizqy Abdussalam, Muhammad Zayyana ACHMAD AFANDI Achmad Afandi, Achmad 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 Anggara Trisna Nugraha Arief Rahmadani Arini, Nu Rhahida Armanto, Ony Ashary, Wima Bambang Sumantri Bambang Sumantri Bambang Sumantri Bima Dwi Priya Setiawan Dhea Ayu Nirmala Sari Diah Septi Yanaratri Dicky Rivaldo Ramdani Dimas Nur Prakoso Dimas Okky Anggriawan Ebrahimi, Faizulddin Efendi, M. Zaenal Eka Prasetyono, Eka Endro Wahjono Epyk Sunarno Era Purwanto Evi Nafiatus Sholikhah Ewa Ari Irwansyah Fahmi Ahyar Izzaqi Faiz Rivaldi Fi'Adha 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 Rahmad Habibulloh 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