International Journal of Advanced Technology and Engineering Exploration ISSN (Print): 2394-5443    ISSN (Online): 2394-7454 Volume-13 Issue-141 August-2026
  1. 4923
    Citations
  2. 2.8
    CiteScore
Mobile-integrated IoT system for early warning of carbon monoxide in home industries

Radinal Fadli1, Fivia Eliza2, Habibullah2, Mustofa Abi Hamid3, B. Anggit Wicaksono4, Yayuk Hidayah5, Aghpin Ramadhan6, Abdulnassir Yassin7 and Muhammad Hakiki8

Department of Information Technology Education,Universitas Lampung,Bandar Lampung,Indonesia1
Department of Electrical Engineering,Universitas Negeri Padang,Padang,Indonesia2
Department of Electrical Engineering Vocational Education,Universitas Sultan Ageng Tirtayasa,Serang,Indonesia3
Department of Physics Education,Universitas Lampung,Bandar Lampung,Indonesia4
Department of Civic Education,Universitas Negeri Yogyakarta,Yogyakarta,Indonesia5
Department of Building Engineering Education,Universitas Negeri Jakarta,Jakarta,Indonesia6
Department of Curriculum and Instruction,Islamic University in Uganda,Kampala,Uganda7
Department of Information Technology Education,Universitas Negeri Surabaya,Surabaya,Indonesia8
Corresponding Author : Fivia Eliza

Received : 01-December-2025; Revised : 02-July-2026; Accepted : 18-August-2026

Abstract

Carbon monoxide (CO) exposure poses a significant occupational safety risk in home-industry environments due to incomplete fuel combustion and inadequate ventilation. Conventional CO detection systems are often expensive, offer limited remote monitoring capabilities, and rely solely on passive warning systems, reducing their suitability for small-scale industries. This study aimed to develop and evaluate a low-cost internet of things (IoT)-based CO mitigation system integrated with a mobile application for continuous monitoring and automated ventilation control. A research and development (R&D) approach employing the waterfall development model was adopted to design, implement, validate, and deploy the proposed system. The prototype incorporated a carbon monoxide gas sensor (MQ-7), an ESP8266 microcontroller, the Blynk cloud platform, and an automated exhaust fan controlled according to predefined CO concentration thresholds. Experimental validation demonstrated that the system consistently detected hazardous CO concentrations, maintained stable wireless communication, and responded rapidly to changing environmental conditions. The developed prototype also successfully transmitted smartphone notifications, activated automatic ventilation based on CO concentration levels, and achieved high user acceptance in terms of usefulness, ease of use, ease of learning, satisfaction, and maintenance readiness. Overall, the findings demonstrate that integrating environmental sensing, cloud-based communication, automated mitigation, and user-centred evaluation within a low-cost IoT architecture provides an effective and practical framework for improving occupational safety in home-industry environments.

Keywords

Carbon monoxide, Internet of Things, Early warning system, ESP8266, Blynk, Home industry.

Cite this article

Fadli R, Eliza F, Habibullah, Hamid MA, Wicaksono BA, Hidayah Y, Ramadhan A, Yassin A, Hakiki M. Mobile-integrated IoT system for early warning of carbon monoxide in home industries. International Journal of Advanced Technology and Engineering Exploration. 2026;13(141):461-479. DOI : 10.19101/IJATEE.2025.121221573

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