Research Article
Transforming Electric Motor Control Labs: Implementing a Cloud Messaging-Based IoT Trainer for Enhanced Engineering Education
@INPROCEEDINGS{10.4108/eai.16-9-2025.2361104, author={Muhammad Isnaini and Ali Akbar Lubis and Muhammad Dani Solihin and Mega Silfia Dewy}, title={Transforming Electric Motor Control Labs: Implementing a Cloud Messaging-Based IoT Trainer for Enhanced Engineering Education}, proceedings={Proceedings of the 7th International Conference on Innovation in Education, Science, and Culture, ICIESC 2025, 16 September 2025, Medan, Indonesia}, publisher={EAI}, proceedings_a={ICIESC}, year={2026}, month={3}, keywords={internet of things digital trainer psychomotor skills engineering education electric motor}, doi={10.4108/eai.16-9-2025.2361104} }- Muhammad Isnaini
Ali Akbar Lubis
Muhammad Dani Solihin
Mega Silfia Dewy
Year: 2026
Transforming Electric Motor Control Labs: Implementing a Cloud Messaging-Based IoT Trainer for Enhanced Engineering Education
ICIESC
EAI
DOI: 10.4108/eai.16-9-2025.2361104
Abstract
This study evaluates an IoT-based trainer for electric motor operation and control in engineering education. Designed with a NodeMCU ESP8266, sensors, and a web monitoring interface, it enables real-time parameter observation. Using a quantitative approach, psychomotor performance was observationally assessed in 20 students across six skills via a Likert rubric. Results showed 60% of students achieved high performance, with a mean score of 21.1/24. Tool preparation was the highest-performing aspect, while sensor data analysis was the lowest. Inter-rater reliability was high (κ = 0.83). The findings indicate that the IoT trainer significantly enhances practical learning effectiveness and provides industry-relevant experience, offering an innovative solution for developing engineering students' psychomotor skills.
