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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 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) JURNAL INTEGRASI INOVTEK POLBENG Techne : Jurnal Ilmiah Elektroteknika 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
Novie Ayub Windarko
Politeknik Elektronika Negeri Surabaya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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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.
SHORT TERM FORECASTING BEBAN LISTRIK MENGGUNAKAN ARTIFICIAL NEURAL NETWORK Muhdalifah Muhtar; Novie Ayub Windarko; Setiawardhana; Kadek Reda Setiawan Suda
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 20 No. 1 (2023): Edisi Januari 2023
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In Masamba City, the use of electrical energy is influenced by the welfare of the population. The higher the level of welfare of the population, the greater the use of electricity. So, power plants must be ready to supply electricity load demand when experiencing sudden fluctuations in electricity demand. One way that needs to be done to deal with this is structured planning and forecasting. This study aims to analyze the results of the error value of the ability to forecast electrical loads using the Artificial Neural Network method. In this study, the method used is a quantitative approach where data collection is done by literature study, observation, and direct interviews at the UP3 Palopo office. The Artificial Neural Network (ANN) method is programmed using MATLAB software. Where forecasting using ANN obtained the smallest error value of 0.83% with an estimated power generated by ANN of 35,991 MVA on day 2 and for the largest error value on day 7 with an error value of 8.33% with estimated power generated by ANN of 36.0836 MVA.
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. 
Sistem Proteksi Arus Lebih pada Proses Pengisian Baterai Menggunakan Buck Converter Metode Constant Voltage Dicky Satria Nanda Lestyanto; Sutedjo Sutedjo; Novie Ayub Windarko; Ahmad Firyal Adila
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 5, No 2 (2023): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v5i2.10143

Abstract

Sistem proteksi arus lebih pada suatu rangkaian listrik sangat diperlukan untuk menghindari kerusakan pada komponen yang diakibatkan oleh lonjakan arus yang tinggi (overcurrent). Salah satu penyebab terjadinya arus lebih adalah terjadinya hubung singkat (short circuit). Apabila terjadi hubung singkat pada sistem, maka tegangan pada buck converter akan menurun drastis dan arus akan mengalami lonjakan hingga melampaui arus nominal sistem. Pada umumnya untuk melakukan proteksi arus lebih digunakan MCB (Miniature Circuit Breaker). Namun pada praktiknya penggunaan MCB harus mengaktifkan secara manual setelah melakukan proteksi arus lebih. Oleh karena itu, komponen relay digunakan untuk membatasi arus dan melakukan proteksi terhadap arus lebih pada sistem.  Pada penelitian ini digunakan panel surya 100WP, baterai lead-acid 12V/20Ah, dan buck converter. Deteksi arus lebih didapatkan dari hasil pembacaan arus keluaran buck converter. Saat terminal keluaran tegangan buck converter dihubungkan singkat dalam keadaan berbeban atau tidak berbeban dapat menyebabkan terjadi arus lebih pada sistem, relay memutus rangkaian sebagai aksi proteksi terhadap arus lebih. Sistem pengisian baterai dengan menggunakan kontrol PI (Proportional Integral) dapat menstabilkan tegangan keluaran buck converter sebesar 14,38 Volt. Sistem kontrol yang diimplementasikan terbukti dapat melakukan pengisian baterai dengan baik.
Indirect Sliding Mode Control Sebagai Pengendali Kecepatan Motor DC Dengan Buck-Converter Habibi Mushthofa Husnu Zain; Novie Ayub Windarko; Syechu Dwitya Nugraha
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

Abstract

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.
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%..
Minimizing Total Harmonic Distortion of 7-Level Packed U-Cell Multilevel Inverter Using Whale Optimization Algorithm Faizulddin Ebrahimi; Novie Ayub Windarko; Agus Indra Gunawan
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3507

Abstract

This paper presents an innovative study introducing a novel design for a single-phase, 7-level inverter. The design combines the modified pulse width modulation (MPWM) technique with the compact packed U-cell (PUC) topology. We evaluate this inverter's performance through comprehensive simulations in the MATLAB Simulink software. Multi-level inverter (MLI) technology is crucial for high-power, medium-voltage energy control. However, using numerous semiconductor switches in traditional MLI setups poses challenges at higher voltage levels, including increased size, costs, and losses. To address these issues, our study proposes a transformative approach, emphasizing reducing active switches within the multi-level inverter architecture. Consequently, we introduce an innovative 7-level PUC-MLI design. This configuration not only reduces harmonic distortion but also addresses cost concerns. Strategically manipulating semiconductor switch sequences significantly enhances the inverter's operational efficiency. A notable contribution is our inventive method to reduce total harmonic distortion (THD) in the inverter's output voltage, achieved through a whale optimization algorithm (WOA). Implementing this algorithm substantially lowers THD levels. Importantly, this approach's effectiveness extends to various inverter topologies and levels, offering a substantial THD reduction without additional expenses.
Pre- Estimasi Daya Aktif pada Gedung Bertingkat dengan menggunakan Time Series Neural Network Ony Armanto; Novie Ayub Windarko; Setiawardhana
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): Indonesian Journal of Computer Science (IJCS)
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
Co-Authors - Sutedjo Abdul Rizal Abdul Rizal, Abdul ACHMAD AFANDI Agus Indra Gunawan Ahmad Firyal Adila Akhmad Puryanto Aldi Erzanuari Aldi Erzanuari, Aldi Alvin Noer Ramadhan Alwi Daffa` Rosydi Anang Tjahjono, Anang Ardhia Wishnuprakasa Arief Rahmadani Ashary, Wima Audya Elisa Rheinanda Bambang Sumantri Bambang Sumantri Bambang Sumantri Bima Dwi Priya Setiawan Diah Septi Yanaratri Dicky Satria Nanda Lestyanto Dimas Nur Prakoso Dimas Okky Anggriawan Eka Prasetyono, Eka Endro Wahjono Epyk Sunarno Era Purwanto Evi Nafiatus Sholikhah Fahmi Ahyar Izzaqi Faizulddin Ebrahimi Ferdiansyah, Indra Firmansyah Nur Budiman, Firmansyah Nur Fuad, Muchamad Chaninul Gede Patrianaya Margayasa Wirsuyana GIGIH HERNAIN NANDA ALDIANTAMA Habibi Mushthofa Husnu Zain Habibi, Muhammad Nizar HANIF HASYIER FAKHRUDDIN Hasnira Hasnira Hazlie Mokhlis Irianto Irianto Jati, Mentari Putri Kadek Reda Setiawan Suda Kuswadi, Son Loegimin, Maruto Swatara Lucky Pradigta Setiya Raharja Lucky Pradigta Setiya Raharja Luluk Badriyah Mas Sulung Wisnu Jati Miftahul Arrijal Mochamad Ari Bagus Nugroho Mochamad Ari Bagus Nugroho 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 Muhammad Abdul Haq Muhammad Farizky Alvianandy Muhammad Khanif Khafidli Muhammad Prihadi Eko Wahyudi Muhammad Wildan Alim Muhdalifah Muhtar Naafilah Widya Mulya NUGROHO, MOCHAMAD ARI BAGUS Ony Armanto Ony Asrarul Q. Puspita Ningrum Q., Ony Asrarul Qoriatul Fitriyah Qudsi, Ony Asrarul Rachma Prilian Eviningsih Ragil Wigas Wicaksana Renny Rakhmawati, Safira Nur Hanifah, Renny Rakhmawati, Rizal Nurdiansyah Rizqy Abdurrahman Rizqy Abdurrahman S Aisyah Setiawardhana Suhariningsih Suhariningsih Suryono . Suryono Suryono Suryono Suryono sutedjo Sutedjo Syechu Dwitya Nugraha Wicaksana, Ragil Wigas Wima Ashary Wirsuyana, Gede Patrianaya Margayasa Wishnuprakasa, Ardhia Zainal Arief Zainal Arief