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All Journal Internet of Things and Artificial Intelligence Journal Jurnal Pengabdian Tri Bhakti
Dhanureksa, Prima
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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IoT-based Real-Time Monitoring System to Optimize Capacitor Bank Performance on Waste Chopping Machines in Cikawao Village, Bandung Adiprabowo, Tjahjo; Ramdani, Dani; Andriana, Andriana; Turesna, Ganjar; Zulkarnain, Zulkarnain; Sukmana, Raden; Fauziah, Rahma Nur; Hendrawan, Lara Dwi Cinta; Direja, Aura Anbiya; Sambas, Tresna Intan Maulani; Resnitiani, Della Agni; Dhanureksa, Prima
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i1.875

Abstract

The use of waste chopping machines in Cikawao Village, Bandung depends on the electricity that supplies the machine. To supply electrical energy to the chopping machine, bank capacitors are needed which function to stabilize electrical power. A capacitor bank is a set of capacitors installed in parallel. Specifically, the function of the capacitor bank is to improve the power factor, reduce useless reactive power, reduce power losses on the network, increase the available power capacity, and also stabilize the system voltage. In this article review, the hope is that the voltage can be monitored in real-time using the Internet of Things (IoT) and focus on voltage sensors and current sensors and controllers that work like relays when the voltage is over, it will automatically turn off. And voltage (V) and current (I) can be monitored in real-time on the available monitors. In the process of building this IoT, a protocol is needed, to control and monitor voltage and electric current can use a microcontroller that can connect to the internet, which means using a WiFi module and connecting it to the Internet server using the MQTT Protocol.
Penerapan Teknologi Deep Learning dalam Model Pembelajaran Adaptif Menggunakan Smart Learning Bagi Siswa Berkebutuhan Khusus di SMK -PPI Bandung Andriana; Hidayat, Asep; Zulkarnaen; Dhanureksa, Prima; Farthurrozi, Raedy
Jurnal Pengabdian Tri Bhakti Vol 7 No 2 (2025): Jurnal Pengabdian Tri Bhakti
Publisher : Lembaga Pengabdian kepada Masyarakat Universitas Langlangbuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70825/jptb.v7i2.2353

Abstract

This community service program focuses on ensuring equal access to education for SBK through the use of advanced technology. The methodology begins with identifying the specific needs of SBK through observation and interviews to understand the challenges they face, followed by collaboration with the school and technology developers to design suitable solutions. Intensive training on Deep Learning (DL) technology and inclusive teaching strategies is provided to SMK-PPI teachers, introducing concepts such as Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), and image processing to support the learning process. The DL-based learning model is then implemented in classrooms involving SBK, with a focus on personalized learning content and more inclusive teaching methods. Continuous evaluation through data collection from observations, interviews, and surveys demonstrates improvements in student engagement, material accessibility, and learning outcomes for SBK. Based on feedback from both teachers and students, reflections and adjustments are made to ensure the sustainability of this model at SMK-PPI and its potential replication in other schools. This program is expected to make a significant contribution to strengthening inclusive education at SMK-PPI Bandung, ensuring that all students have an equal opportunity to reach their full potential.
Co-Authors Andriana Andriana Asep Hidayat Dani Ramdani Direja, Aura Anbiya Farthurrozi, Raedy Fauziah, Rahma Nur Ganjar Turesna Hendrawan, Lara Dwi Cinta Resnitiani, Della Agni Sambas, Tresna Intan Maulani Sukmana, Raden Tjahjo Adiprabowo R Zulkarnaen Zulkarnain Zulkarnain