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Electronics training using microcontroller at MA Ihyaul Islam Bolo Astutik, Rini Puji; Mas'ud, Arbi Alfian; Gunawan, Budy; Khakim, Khasanul
Community Empowerment Vol 10 No 6 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.13593

Abstract

This community service was conducted at Madrasah Aliyah Ihyaul Islam Bolo, Gresik, a school with the potential to develop skilled human resources in the industrial sector. This activity aimed to enhance students' knowledge and skills about the Internet of Things (IoT) technology for automatic control. The implementation method involved electronics training using the Arduino Uno microcontroller, including material presentation, demonstrations, case studies, and hands-on practice. A total of 20 twelfth-grade students participated in this training. The results achieved demonstrate an increase in students' understanding of the training material. Based on questionnaires completed after the training, 44% of students stated a good understanding of the material provided. In addition, there was a strong positive correlation (0.9) between students' assessment of the quality of the material and the completeness of the training material. This activity made a significant contribution to improving the competence of students and teachers related to IoT technology, as well as opening up opportunities for collaboration between schools, universities, and industry.
A Cyber-Physical Approach to Black Soldier Fly Cultivation: Integrating IoT Monitoring with Adaptive Watering Control Astutik, Rini Puji; Mas'ud, Arbi Alfian; Ramadhani, Muhammad; Nur, Samsudin; Zahara, Soffa; Muslimin, Mohammad
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.668

Abstract

This article details the creation and deployment of an IoT-integrated system designed for the activated watering and environmental supervision of Black Soldier Fly (BSF) maggot production. Given that maggot yield is heavily reliant on precise climate control, traditional manual techniques often fall short due to their labor-intensive nature and susceptibility to human error. The implemented solution utilizes an ESP32 microcontroller interfaced with an SHT20 sensor to monitor temperature and humidity, managing three key actuators: a heating element, a cooling fan, and a water pump. Communication is facilitated through the Telegram Bot API, offering both a manual override and an autonomous mode driven by a Mamdani fuzzy logic engine. Experimental results confirmed the system's high precision, with temperature and humidity sensing showing accuracies of 99.13% and 99.27%, respectively. Furthermore, evaluations of the fuzzy logic controller across 12 trials proved its capability to maintain optimal conditions without operational conflicts. This system offers a scalable approach to modernizing insect-based agriculture by stabilizing environmental parameters and reducing operational overhead