Transforming Electric Motor Control Labs: Implementing a Cloud Messaging-Based IoT Trainer for Enhanced Engineering Education Muhammad Isnaini (a*), Ali Akbar Lubis (a), Muhammad Dani Solihin (a), Mega Silfia Dewy (a)
a) Faculty of Engineering, Universitas Negeri Medan
Abstract
This study aimed to modernize practical training in electric motor control by designing, developing, and implementing an Internet of Things (IoT) trainer integrated with Telegram cloud messaging. Deployed within the Electrical Engineering Education program at Universitas Negeri Medan, the system utilizes NodeMCU ESP8266 microcontrollers, enabling students to remotely control electric motors via chatbot commands. Key functionalities include motor start/stop, speed regulation, and execution of essential control modes (Direct-On-Line, Star-Delta, sequential rotation) directly through the Telegram interface. Employing the Research and Development (R&D) methodology with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation), the project progressed systematically from needs assessment to field deployment. Rigorous testing confirmed the trainers robust functionality and user-friendliness in a laboratory setting. Evaluation results demonstrated significant educational impact: 87% of students reported enhanced comprehension of IoT-based motor control systems, while 82% expressed increased engagement due to the trainers modern, digital-native approach. Instructors highlighted the systems efficiency, eliminating manual wiring hazards and simplifying complex demonstrations. Overall, this IoT trainer implementation delivers a transformative, interactive learning experience, effectively bridging theoretical concepts with Industry 4.0 practices and meeting the evolving demands of contemporary engineering education.
Keywords: IoT laboratory trainer- Cloud messaging- Telegram API integration- Electric motor control systems- Remote engineering laboratories- Industry 4.0 technical education
Topic: Education in Mathematics, science and Vocational
