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Penerapan Ai Dan Iot Berbasis Arduino Dalam Edukasi Elektronika Di Ma Al-Khairiyah Pekalongan Kelurahan Deringo Kota Cilegon: Pengabdian Tb Ade Rahmatullah; R Dewi Mutia Farida; Aris Himawan; Firdaus Salam; Muhammad Dandi; Salsanabila Mariestiara Putri
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3442

Abstract

The development of Artificial Intelligence (AI) and the Internet of Things (IoT) has significantly impacted the field of electronics. This community service program aims to provide fundamental knowledge of AI and IoT concepts and introduce their practical implementation through Arduino-based microcontroller projects. The program consisted of socialization, training, and demonstration of systems applicable in monitoring and simple automation. The results showed an increase in participants' understanding of AIoT concepts and their ability to operate IoT-based devices. Participants were also able to design simple prototypes by integrating sensors and actuators. This activity is expected to provide academic communities and electronics practitioners with essential knowledge and initial skills to face AIoT technological developments.
The Effect of Voltage Quality Variations on The Performance and Operational Lifespan of Electronic Equipment in the Electrical System of Educational Buildings Salsanabila Mariestiara Putri; Asro; Tb. Ade Rahmatullah; Mujiburohman; Amir Akbar Wicaksono
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i3.5504

Abstract

This study aims to analyze the effect of voltage quality variations on the performance and estimated operational lifespan of electronic equipment. The study uses a quantitative explanatory approach with a field measurement design (in-situ) through the use of a power quality analyzer and supporting instruments. Data were analyzed using descriptive statistics, correlation analysis, and multiple linear regression. The results show that voltage quality variations occur unevenly, with the highest level of disturbances in areas with high electronic load density. Total harmonic distortion (THDv), voltage sag, and voltage unbalance are the most dominant factors influencing performance degradation and accelerating equipment operational degradation. The regression model shows a significant effect with strong explanatory power. This study confirms that voltage quality variations directly impact short-term performance and contribute to equipment operational lifespan reduction through the accumulation of electrical and thermal stress, making power quality management a crucial aspect in improving system reliability and efficiency of educational building facility management