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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.
Implementation of Solar Energy for an IoT-Based Agricultural Irrigation and Monitoring System Gunawan, Budy; Astutik, Rini Puji
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 3: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0703.958

Abstract

In Indonesia, there are approximately 27,368,114 households that work as farmers. Generally, farmers use diesel-fueled pumps for rice field irrigation, but in the current era, diesel is becoming scarce. Trials have been conducted with electric pumps, but they are not supported in areas far from residential areas. Therefore, in this research, a pump drive system was created using an induction motor controlled by an ESP32, with sensor integration for monitoring, solar energy as the Power supply, and the BLYNK application for remote monitoring. The results of the study show that solar panels can produce 580.6 Watts of Power in 8 hours, with a maximum Power of 87.4 Watts at 100,000 lux and 35°C. The sensor accuracy is also perfect, with an average error below 2%. The system also successfully regulated automatic irrigation based on soil moisture levels using the Capacitive Soil Moisture v1.2 sensor: the pump turns on when soil moisture is <40% and stops when it is >60%. Scientifically, this research contributes to the development of an intelligent irrigation system based on solar energy and IoT for remote agricultural areas. However, the control system remains static and is not fully adaptive to changing environmental conditions. Therefore, further research is recommended to integrate artificial intelligence methods, such as fuzzy logic or machine learning, to enhance the system's flexibility and performance across diverse soil conditions. With these developments, this system could become an innovative and sustainable agricultural solution in areas without access to PLN electricity.