IoT-Based Monitoring System Development for Air Jet Loom ZA 205 with Power Apps to Enhance Fabric Quality and Machine Efficiency

DOI

10.2991/978-94-6239-687-6_8How to use a DOI?

Keywords

IoT Monitoring System; Power Apps; Air Jet Loom; Machine Efficiency; Industry 4.0

Abstract

The textile industry continues to grapple with the challenge of maintaining high production efficiency and consistent fabric quality, particularly in fast-paced environments utilizing equipment like the Air Jet Loom ZA 205. This research pioneers the development of an Internet of Things (IoT)-based monitoring system, uniquely leveraging Microsoft Power Apps and Power Automate to create a low-code, easily deployable solution. The system enables real-time tracking of critical machine parameters such as RPM, yarn breakages, and production output—and delivers actionable insights through an interactive multi-layer dashboard designed for immediate operator intervention. The methodology involved the integration of IoT components, relay-based machine signal capture, SQL database, and Microsoft Power Apps for real-time visualization, followed by performance evaluation through mixed-method analysis. By adopting a mixed-methods approach that combines rigorous statistical analysis with qualitative feedback, the study demonstrates significant operational gains, including a 45.9% reduction in machine downtime, a 74% improvement in operator responsiveness, and a 14% increase in Overall Equipment Effectiveness (OEE). Achieving sensor accuracy above 98% and a false alarm rate below 1%, the system not only improves operational visibility but also enhances workforce engagement. This work introduces a scalable and human-centered digital innovation tailored for industrial textile environments, offering a new pathway toward democratized smart manufacturing through low-code IoT technologies.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mariani Putri Sinaga
AU  - Moses Laksono Singgih
PY  - 2026
DA  - 2026/05/24
TI  - IoT-Based Monitoring System Development for Air Jet Loom ZA 205 with Power Apps to Enhance Fabric Quality and Machine Efficiency
BT  - Proceedings of the 8th Mechanical and Industrial Engineering Symposium (MIE 2025)
PB  - Atlantis Press
SP  - 101
EP  - 116
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-687-6_8
DO  - 10.2991/978-94-6239-687-6_8
ID  - Sinaga2026
ER  -