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Journal : Journal of Power, Energy, and Control

IoT-Based Control, Monitoring, and Protection System for 3-Phase Induction Motors in Electric Motorcycles Musyafiq, Afrizal Abdi; Akbar, Mohammad Hafiz; Purwiyanto, Purwiyanto; Ilahi, Novita Asma; Dewi, Riyani Prima; Pradana, Muhammad Fakhruriza
Journal of Power, Energy, and Control Vol. 1 No. 2 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v1i2.32

Abstract

This study investigates the application of the Internet of Things (IoT) for wireless control and monitoring of a 3-phase electric motor using a smartphone. The system integrates PZEM-004T, DS18B20, and Hall Effect sensors to collect data on voltage, current, temperature, and rotational speed using the NodeMCU ESP8266 microcontroller. Measurements are displayed on an LCD and transmitted to the Blynk server for smartphone access. A comparative method evaluates the accuracy of sensor readings against standard measuring instruments. Results obtained an average percentage error of 0.5% for the R phase voltage, 0.2% for the S phase, and 0.1% for the T phase. Current measurements reveal errors of 5% for the R phase, 10.3% for the S phase, and 11.7% for the T phase. The control system’s performance varies with internet speed, with an average delay of 0.99 seconds on a 4G network and 2.51 seconds on 3G. Additionally, the study evaluates three protection mechanisms, demonstrating that the motor stops within 4.03 seconds in the event of a phase failure, while overcurrent and overheating protections activate within 8.47 seconds and 3.64 seconds, respectively. Overall, the findings affirm the viability of IoT in motor monitoring and control, emphasizing accuracy and response times under varying conditions.
IoT-Enabled Solar-Powered Pest Control for Rice Agriculture: Monitoring and Efficiency of Light-Based Traps Ilahi, Novita Asma; Musyafiq, Afrizal Abdi; Pradana, M. Fakhruriza; Alimudin, Erna; Fadlilah, Ilma; Husna, Kulaiah Syifaul; Nagara, Erliza Septia; Santoso, Agus
Journal of Power, Energy, and Control Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v2i1.41

Abstract

Rice is a staple food in Indonesia and globally, but its production is threatened by pests such as the brown planthopper. Conventional pest control methods, including pesticides and traditional techniques, often prove ineffective and have negative environmental impacts. Light traps have been explored as an alternative due to the brown planthopper's phototactic behavior, yet existing designs lack efficiency in capturing pests. This study presents an IoT-based solar-powered pest control system that integrates light as an attractant and an electric trap for effective pest elimination. The system features real-time monitoring of voltage, current, and light intensity using an LCD display, powered by a 35 Wp solar panel and managed through an Arduino Uno microcontroller. Experimental results show that brown planthoppers are most attracted to an LED light with an intensity of 780 lux, operating at 11.5 V and 0.97 A. The system consumes 112.52 Wh, with a full battery charge requiring approximately 6 hours and 7 minutes. These findings highlight the potential of a sustainable, energy-efficient solution for pest control in rice agriculture.