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All Journal JURNAL NASIONAL TEKNIK ELEKTRO Journal of Applied Electrical Engineering Journal of Electrical Power Control and Automation (JEPCA) Jurnal Engineering Electron: Jurnal Ilmiah Teknik Elektro Jurnal Ecocentrism EJOIN : Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Ilmu Komputer Akademika Media Elektrik
Andre Rabiula
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Implementasi Sistem Pemantauan Energi Listrik dan Perbaikan Faktor Daya Berbasis Android dengan MIT App Inventor dan Firebase Andre Rabiula; Dasrinal Tessal; Aldy Pratama; Togi Siholmarito Simarmata; Elsa Lolita Anggraini; Illa Aryeni
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11615

Abstract

As inductive loads like washing machines and water pumps become more common, they utilize more reactive energy and lower the power factor. If the power factor is less than 0,85 PLN, electrical protection devices like MCBs and ELCBs could stop working. To utilize less power, things need to change. Adding a capacitor bank to add reactive power can make the power factor value better. Using the MIT App Inventor and Firebase platforms, this study built an app that lets you keep track of and improve your power factor. The app had an average data latency of 11,20 seconds. After 11 load changes, the average power factor went up from 0,64 (before improvement) to 0,88 (after). So, this method for optimizing power factor helps to get a low power factor up to the right level.
Banana Ripeness Classification Using Convolutional Neural Network Based on Resnet-50 Khalis Fikri, Muhammad; 'Asyarina Ramadhani, Salisa; Haryus Wirasapta, Andicho; Rabiula, Andre; Anzari, Yandi; Alghifari, Hamzah; Sajjad Mishi, Salmuna
Jurnal Media Elektrik Vol. 23 No. 2 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i2.11482

Abstract

The manual assessment of banana ripeness on an industrial scale is subjective, time-consuming, and inconsistent. This necessitates an automated computer vision system. Previous studies have used shallow Convolutional Neural Networks (CNNs) for binary classification, but these networks often struggle with complex ripening stages and degrade in deeper networks. This study addresses this gap by implementing a deep learning algorithm using the ResNet-50 architecture. The residual block mechanism extracts fine-grained visual features without vanishing gradient issues. The model was evaluated using a diverse dataset of 13,478 digital images spanning four stages of banana ripeness: overripe, ripe, rotten, and unripe. Using a 95-5 train and test-validation split, the model was optimized over 50 epochs with a categorical cross-entropy loss function. The proposed model achieved outstanding accuracy (98.13%), minimal loss (0.1237), and average precision, recall, and F1-scores of 98.09%, 98.20%, and 98.14%, respectively. This study scientifically validates the robustness of deep residual networks in complex agro-industrial pattern recognition. Furthermore, with an inference time of approximately 50 ms per image, the system is ready for seamless integration into an automated sorting line.
Integrating Green IT into IS/IT Strategic Planning: A Ward and Peppard Framework for Sustainable Digital Transformation in Higher Education Pujiono, Agung; Samopa, Febriliyan; Rabiula, Andre; Haryus Wirasapta, Andicho; Fikri Muhammad , Khalis Fikri
Jurnal Media Elektrik Vol. 23 No. 2 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i2.11875

Abstract

The development of information systems and information technology (IS/IT) has significantly transformed higher education; however, inadequate strategic planning often leads to inefficiencies and environmental impacts, such as high energy consumption and electronic waste. Despite the growing importance of sustainability, existing IS/IT strategic planning approaches generally do not explicitly integrate environmental considerations, thus creating a gap between digital transformation and sustainability objectives. This study aims to develop an IS/IT strategic planning framework that integrates green IT principles within the Ward and Peppard methodology. A qualitative case study approach was applied at Akademi Farmasi Yarsi Pontianak using data collected through interviews, observations, and questionnaires. The analysis incorporated multiple frameworks, including the Balanced Scorecard, PEST, Porter’s Five Forces, SWOT, and Critical Success Factors. The results produced integrated IS/IT strategies that align organizational goals with sustainability principles, including the development of information systems, environmentally oriented IT infrastructure, and governance mechanisms that support green IT implementation. The findings indicate that integrating green IT into IS/IT strategic planning can enhance operational effectiveness while contributing to environmental sustainability. This study contributes by extending the Ward and Peppard framework through the explicit incorporation of environmental sustainability as a strategic dimension, providing a practical and replicable model for higher education institutions pursuing sustainable digital transformation.
Analisis Kontingensi Saluran Transmisi 150 kV pada Subsistem Jambi Ahmad Rifki Nazwan; Dasrinal Tessal; Andre Rabiula
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.285

Abstract

High-voltage electrical systems are essential for maintaining a stable and efficient electricity supply. However, increasing capacity and expanding networks increase the risk of disruptions that can trigger blackouts. System reliability relies heavily on its ability to survive sudden disturbances, such as loss of generation or transmission line breaks. Contingency analysis (N-1) is used to predict system conditions and design appropriate mitigations to improve reliability. This study analyzes contingency in the Jambi 150 kV subsystem using the Newton-Raphson method in ETAP 19.0.1 software, with a Performance Index (PI) approach. The results show the Muara Bulian - Aurduri line has the highest PI (4.3382), while Aurduri - Muara Sabak has the lowest (1.4754). Contingency on the Aurduri - Muara Bulian line causes low voltage at the Sarolangun and Muara Bulian buses, 130.376 kV and 131.193 kV respectively. In addition, there is a redistribution of power flow that increases the load by 20.42% on the Muara Tebo - Aurduri line. As a mitigation measure, the installation of shunt capacitors of 5.807 MVar at Sarolangun bus and 23.074 MVar at Muara Bulian is recommended
Co-Authors 'Asyarina Ramadhani, Salisa Abdul Manab Abdul Manab Abdul Manab Abidin, Zainil Afriyandi Afriyandi Ahmad Rifki Nazwan Aiza Yudha Pratama ALDY PRATAMA Alghifari, Hamzah Benedika Ferdian Hutabarat Damayanti, Liza dasrinal tesal Dasrinal Tessal Dasrinal Tessal Dasrinal Tessal Dewi Fortuna Dewi Fortuna Elsa Lolita Anggraini Febriliyan Samopa Fikri Muhammad , Khalis Fikri Fuady, Samratul Gusri, Lailal Haerul Pathoni, Haerul Haryatama Putri, Frenti Illa Aryeni Iyan Torang H Khalis Fikri, Muhammad Liza Damayanti M Bahrul Muttaqin Matalata, Hendi Nanda Dwi Septiawan Nehru Nindy Raisa Hanum Perdana, Yogi Pujiono, Agung Putri, Prameswari Amalia Ramadhani, Salisa 'Asyarina Sajjad Mishi, Salmuna Samratul Fuady Samratul Fuady Sri Rahayu Togi Siholmarito Simarmata Wirasapta , Andicho Haryus Yandi Anzari Yosi Riduas Hais