Article Per Year (5 Year)
p-Index From 2021 - 2026
3.475
P-Index
This Author published in this journals
All Journal Elektron Jurnal Ilmiah TELKOMNIKA (Telecommunication Computing Electronics and Control) JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Indonesian Journal of Electrical Engineering and Computer Science Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer Andalasian International Journal of Applied Science, Engineering, and Technology Andalas Journal of Electrical and Electronic Engineering Technology Jurnal Andalas: Rekayasa dan Penerapan Teknologi Emitor: Jurnal Teknik Elektro
Novizon, Novizon
Jurusan Teknik Elektro Fakultas Teknik Universitas Andalas
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
Disturbance Modeling on Transmission Lines Using Wavelet Transform Method: A Review Sitti Amalia; Mardini Hasanah; Yusreni Warmi; Novizon Novizon; Abdul Rajab
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 2 No. 2 (2022): November 2022
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v2i2.31

Abstract

This paper introduces a number of methods for identifying disturbances on transmission lines and provides algorithms for classifying various disturbance types. working with the discrete wavelets transform (DWT) and various embedded systems techniques using a simulator to carry out digital simulations of system trials using the controlled technique, the nature of disturbance in distinct sub-systems is determined. The analysis of transmission lines using the wavelet transform is the main topic of this study, along with techniques for transmission line protection. These factors include channel capacity, channel length, simulation software, mother wavelet type, parameters, sampling frequency, and type of disturbance analysis.
Sosialisasi tentang Dampak Medan Listrik dan Medan Magnet di Bawah Saluran Udara Tegangan Tinggi pada Masyarakat di Kelurahan Aie Pacah Kecamatan Koto Tangah Kota Padang Baharuddin, Baharuddin; Novizon, Novizon; Fernandez, Rudy; Andre, Hanalde; Luthfi, Muhammad; Pratama, Rizki Wahyu; Zurnawita, Zurnawita; Firdaus, Firdaus; Ikhsan, Intan Aprillia
Jurnal Andalas: Rekayasa dan Penerapan Teknologi Vol. 3 No. 2 (2023): Desember 2023
Publisher : Electrical Engineering Department Faculty of Engineering Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jarpet.v3i2.47

Abstract

Sebagian Masyarakat di Kelurahan Aie Pacah Kecamatan Koto Tangah Kota Padang berada diperlintasan Saluran Udara Tegangan Tinggi (SUTT). Adanya SUTT ini menimbulkan keresahan dikalangan masyarakat disekitarnya. Keresahan ini timbul karena masyarakat pada umumnya tidak mengerti tentang pengaruh yang ditimbulkan oleh medan listrik dan medan magnet. Oleh karena itu, melihat kondisi tersebut, maka kami mengadakan sosialisasi kepada masyarakat tentang dampak medan listrik dan medan magnet disekitar perlintasan SUTT. Kegiatan ini memberikan informasi tentang bagaimana dampak yang ditimbulkan dari medan magnet dan medan listrik di sekitar jalur SUTT, agar masyarakat mengerti cara menanggulanginya dengan baik. kegiatan ini berbentuk sosialisasi berupa ceramah yang meliputi presentasi hasil-hasil penelitian serta pemaparan peraturan-peraturan pemerintah berhubungan dengan batas batas aman untuk masyarakat.  Evaluasi dilakukan dengan cara diskusi tentang dampak yang ditimbulkan dari medan magnet dan medan listrik serta cara menanggulanginya. Hasil dari diskusi ini memberikan rasa aman dan kepuasan kepada masyarakat disana, dengan tanpa tekanan faktor phisikis dari dampak listrik tegangan tinggi.
Gangguan Saluran Transmisi di Deteksi Menggunakan Metode Gelombang Berjalan dan Transformasi Wavelet Diskrit Seftiani, Yudia Meka; Novizon, Novizon; Ari Fitra, A.
Elektron : Jurnal Ilmiah Volume 15 Nomor 2 Tahun 2023
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.345

Abstract

Determination of fault location using impedance-based methods and the traveling wave method. Many previous studies used the impedance method but found deficiencies; if the fault impedance is high, it affects the accuracy of determining the fault location. Another method uses the global positioning system (GPS), which is less economical because it requires a lot of expensive devices. This research focuses on the traveling wave method popularized by Bewley, which uses high-frequency electromagnetic impulses derived from transient voltage and current faults inside and outside the line. This method ignores the fault type, line resistance, and fault start angle. In analyzing the time difference between the incident and reflected waves, a discrete wavelet transform analysis is used to help determine the location of the disturbance. The Maninjau hydroelectric power plant and the Pauh Limo substation are modeled using an alternative transient program (ATP) with several components and parameters. Modeling is given for one-phase ground disturbance, two-phase ground disturbance, two-phase, three-phase, and lightning surge. Determination of fault locations using single-ended and double-ended methods with a sampling rate of 1 Mhz by varying the type of wavelet (Daubechies 4, Coiflets 4, Symlets 4) The results obtained in determining the location of disturbances based on the type of wavelet, Daubechies 4, have a small error, so the accuracy is high, and the method double ends for all types of interference to obtain a smaller error rate.
A Novel Model for Prediction of Flashover 150kV Polluted Insulator Based on Nonlinear Autoregressive External Input Neural Network Hasanah, Mardini; Novizon, Novizon; Qatrunnada, Rusvaira; Warmi, Yusreni; Amalia, Sitti; Yamashika, Herris
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 3 (2024): Protek: Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i3.7344

Abstract

This study aims to use an artificial neural network to forecast the flashover voltage of a polluted high-voltage insulator. Practical tests were conducted on a high-voltage insulator to gather data for the neural network. These tests were carried out with varying levels of real contaminants from used insulators, with each level of contamination measured in milliliters. The collected data provides flashover voltage values corresponding to different pollution amounts and their conductivity in each insulator zone. The Nonlinear Autoregressive External Input Neural Network (NarxNet) is employed to predict the flashover voltage and assess the pollution state of the insulator. The results demonstrate that the NarxNet method achieves a 93.74% accuracy rate in predicting the flashover voltage of high-voltage insulators, compared to the results from practical tests.
The Influence of Lightning and Grounding Conditions On Flashover Events in a 150kV Transmission Line Novizon, Novizon; Qatrunnada, Rusvaira; Hasanah, Mardini; Laksono, Heru Dibyo
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 4 No. 2 (2024): July, 2024
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v4i2.152

Abstract

Effect of lightning parameters and grounding system impedance on transient overvoltage that occurs in 150 kV overhead transmission lines during lightning using ATP-EMTP modeling. The induced overvoltage that jumps across the insulator is calculated for further analysis. Various parameters that directly influence directly influence the backflashover phenomenon,, such as the effect of lightning strike amplitude, time of rise (front) and decay (tail) of lightning impulses, foot grounding system, and ground resistivity,, are discussed in more detail. Surge arresters are used in this study to overcome the overvoltage that can cause backflashover. The performance of the transmission system after using a surge arrester is investigated at the time of a lightning strike. The results indicate that the parameters of the advance time and the lightning current amplitude greatly affect the overvoltage magnitude voltage. Other parameters have little effect on the overvoltage in the transmission line.
Sistem Pengatur Tegangan Otomatis : Analisa Peralihan Dengan Pengendali Tunggal Dan Kaskade Laksono, Heru Dibyo; Novizon, Novizon; Latif, Melda; Gunawan, Eko Amri; Afrianita, Reri
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 11 No. 2 (2021): Amplifier November Vol. 11, No. 2 2021
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v11i2.19133

Abstract

This journal describes the design and analysis of the response of a single controller and cascade direct current type of Automatic Voltage Regulator (AVR) system. The direct current AVR system is represented form of a transfer function. For single and cascade controllers, it is designed using a parallel architecture using MATLAB software with predetermined design criteria. The types of controllers used consist of Proportional Differential (PD), Proportional Integral (PI), Proportional Integral Differential (PID), Proportional Differential with First Order Filters in the Differential Section (PDF) and Proportional Integral Differentials with First Order Filters in the Differential Section(PIDF). For the transition analysis, the observed parameters consist of rise time, peak time, steady state time, maximum pass value and peak value. The results of the analysis show that the controllers that meet the design criteria are Proportional Differential (PD) controllers and Proportional Differential controllers with First Order Filters in Differential Sections (PDF) for single controllers and cascade controllers. For a single controller, the value of the Proportional constant (Kp) is 0.6280 and the value of the Differential constant (KD) is 0.1710 for the Proportional Differential (PD) controller. Proportional constant value (Kp) is 0.6130, Differential constant value (KD) is 0.1710 and filter constant value (Tf) is 0.0009 for Proportional Differential controller with First Order Filter in Differential Section (PDF). Cascade controllers and Proportional Differential (PD) controllers, the Proportional constant (Kp) is 1.7300 and the Differential constant (KD) is 0.0242 for the inner circle (C2). Outer ring controller (C1), the proportional constant (Kp) is 179,000 and the Differential constant (KD) is 2.4600. Cascade controllers and Proportional Differential controller types with First Order Filters in the Differential Section (PDF), the Proportional constant (Kp) value is 1.5900, the Differential constant (KD) value is 0.0246, the filter constant value (Tf) is 0.0018 for the inner circumference (C2 ). For the outer ring controller (C1), the Proportional constant (Kp) value is 134,0000, the Differential constant (KD) value is 2.2900 and the filter constant value (Tf) is 0.00008.
Karakteristik Medan Listrik-Dekat Petir Positive Cloud to Ground Seftiani, Yudia Meka; Hazmi, Ariadi; Novizon, Novizon; Abadi, Akbar; Widia, Riza
Elektron : Jurnal Ilmiah Volume 15 Nomor 1 Tahun 2023
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.15.1.334

Abstract

This study was conducted on 19 electric field data near positive lightning cloud to ground (+CG). The electric field change of +CG lightning consist of preliminary breakdown (PB) and return stroke (RS). The analysis conducted in this research are: PB/RS ratio, PB-RS separation, pre-return stroke duration, pulse train duration, and individual pulse duration. Furthermore, the relationship between +CG lightning and cloud image satellite was observed the average value of PB/RS ratio, PB-RS separation, prereturn stroke duration, pulse train duration and individual pulse duration were 13,89%, 91,53 ms, 102,23 ms, 1,20 ms,150,31 μs, respectively.
Inovasi Solar Dryer Dome pada Usaha Budidaya Multiguna untuk Mendukung Urban Farming di Ekowisata Sungkai Green Park Lambung Bukit Pauh Kota Padang Daud, Darwison; Zaini; Rusydi, M Ilhamdi; Aulia; Novizon; Yunus, syukri; Novendra, Rico; Muharam, Mumuh; Novandri, Athalla; Mubarok, Fatih; Susanti, Roza
Jurnal Andalas: Rekayasa dan Penerapan Teknologi Vol. 4 No. 1 (2024): Juni 2024
Publisher : Electrical Engineering Department Faculty of Engineering Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jarpet.v4i1.96

Abstract

The implementation of the Solar Dryer Dome innovation in Sungkai Green Park Ecotourism, Lambung Bukit Village, Pauh District, Padang City, is a strategic step in supporting urban farming practices. Lecturers and students from the Department of Electrical Engineering, Faculty of Engineering, Andalas University, have successfully integrated this technology in the cultivation of vegetables, fish, broiler chickens, and the tea drying process. This infrastructure is equipped with a UV plastic roof to protect plants from excessive UV rays, while the center of the dome functions as a fish pond that utilizes fish waste as natural fertilizer for plants. The IoT-based control system allows efficient monitoring and control via mobile devices, with various sensors for temperature, humidity, soil pH, and water quality. As a result, harvest time becomes more efficient—vegetables in 21-27 days, gourami fish around 1000 per year, broiler chickens in 30 days, and dried tea in 8 hours in sunny weather. The specific objectives of implementing this innovation at the Solar Dryer Dome location are to increase production efficiency, reduce operational costs, and improve product quality, all of which have a positive impact on local food security. This initiative also supports sustainable urban farming practices and improves community knowledge and skills in modern agriculture. Overall, the Solar Dryer Dome has a significant positive impact on the community and the surrounding environment.
A Novel Model for Prediction of Flashover 150kV Polluted Insulator Based on Nonlinear Autoregressive External Input Neural Network Hasanah, Mardini; Novizon, Novizon; Qatrunnada, Rusvaira; Warmi, Yusreni; Amalia, Sitti; Yamashika, Herris
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 3 (2024): Protek: Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i3.7344

Abstract

This study aims to use an artificial neural network to forecast the flashover voltage of a polluted high-voltage insulator. Practical tests were conducted on a high-voltage insulator to gather data for the neural network. These tests were carried out with varying levels of real contaminants from used insulators, with each level of contamination measured in milliliters. The collected data provides flashover voltage values corresponding to different pollution amounts and their conductivity in each insulator zone. The Nonlinear Autoregressive External Input Neural Network (NarxNet) is employed to predict the flashover voltage and assess the pollution state of the insulator. The results demonstrate that the NarxNet method achieves a 93.74% accuracy rate in predicting the flashover voltage of high-voltage insulators, compared to the results from practical tests.
Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network Qatrunnada, Rusvaira; Novizon, Novizon; Hasanah, Mardini; Angraini, Tuti; Anton, Anton
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 1 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i1.7573

Abstract

Nowadays, the use of renewable energy is increasing, especially distributed power generation (DG) connected to the power grid. There are several problems when DG is connected to the grid. The principal obstacle pertains to the detachment of Distributed Generation (DG) from the grid, a phenomenon well known as islanding. Islanding detection is an important task that should be completed in no more than two seconds. Earlier studies have shown several approaches to islanding detection. The use of an Artificial Neural Network (ANN) based on the learning vector quantization (LVQ) technique is proposed in this paper for fault classification and islanding detection in grid-connected distributed generators. The method consists of discrete wavelet transform (DWT), which extracts some features from the fault signal. Then, LVQ is used to classify the disturbance and detect islanding events. Power, entropy, and total harmonic distortion (THD) are used to obtain the total harmonic value. All features become inputs for LVQ, and system disturbances, lightning, and islanding disturbances are used as LVQ outputs. There are 600 datasets consisting of 200 datasets for each fault as training data. To test the LVQ training results, 120 datasets consisting of 40 datasets for each disturbance are used. The training error is made at 0.1 percent to get good testing results. The test results from 120 datasets showed that the test data achieved 99.10% accuracy. In other words, the test results are very effective because there are only 0.9% errors, and there are 2 test data that do not match the actual situation.
Co-Authors . Darwison Abdul Rajab Abdul-Malek, Zulkarnain Akbar Abadi, Akbar Alfajri, Roan Amirul Luthfi, Amirul Angraini, Tuti Anton Anton Ari Fitra, A. Ariadi Hazmi Astri Astia Ningsih Aulia Aulia Aulia Aulia Aulia Aulia Aulia Aulia, Aulia Aulia, Aulia Baharuddin Baharuddin Chatarina Umbul Wahyuni Dano Yustasia Daud, Darwison Dona Juliandri Dwi Gustiono Eka Putra Waldi Fahreza, Rahmad Firdaus Firdaus Gunawan, Eko Amri Hanalde Andre Hardiyanti Mursat, Marta Hasanah, Mardini Ikhsan, Intan Aprillia Juliandri, Dona Laksono, Heru Dibyo M. A. Hafizi M. Heru Setiawan Maemonah, Maemonah Mardini Hasanah Mardini Hasanah Melda Latif Mondrizal Mondrizal Mubarok, Fatih Mumuh Muharam Mumuh Muharram N. Riska Nofriadi Nofriadi Nofriadi, Nofriadi Novandri, Athalla Novendra, Rico Nurfi Syahri Pratama, Rizki Wahyu Qatrunnada, Rusvaira Rahadian Asneli Putri Rahmad Fahreza Reri Afrianita Reri Afrianita Riska, N. Riza Widia Roan Alfajri Roza Susanti Rudy Fernandez Rusvaira Qatrunnada Rusydi, M Ilhamdi Seftiani, Yudia Meka Silvia Wulandari Sitti Amalia Sulthanah, Hana Syafii . Syukri Yunus Tesya Uldira Septiyeni Wati Wati Wati, Wati Widi Adriana , Anisa Yamashika, Herris Yudia Meka Seftiani Yusreni Warmi Yusreni Warmi Yustasia, Dano Zaini Zulkarnain Abdul-Malek Zulkurnain Abdul-Malek Zurnawita Zurnawita