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Developing a Scalable IoT-Based Platform for Enhancing Air Quality Monitoring in Public Transport Using Node-RED Zidni, Hasan; Putra, Karisma Trinanda; Santosa, Fahrul Galih; Nugroho, Arif; Pranoto, Sarwo; Rahaman, Mosiur; Chu, Hsueh-Ting
Journal of Electrical Technology UMY Vol. 8 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v8i2.24701

Abstract

Air quality monitoring is a critical factor in ensuring human safety and well-being. However, existing monitoring systems are often limited to specific locations, resulting in a lack of comprehensive information regarding air quality conditions in various areas. This study proposes the development of an (Internet of Things) IoT-based air quality monitoring platform utilizing Node- RED, implemented in public transportation facilities in Yogyakarta. The system provides real-time data that enhances public awareness and understanding of air quality conditions, particularly in densely populated transportation hubs. The prototype utilizes MQ-7 and MQ-135 sensors to measure key air quality indicators, including carbon monoxide (CO) and carbon dioxide (CO2). Air quality data is collected every minute and can be viewed in real-time through the Node-RED platform, with the data stored in CSV format for further analysis. The system demonstrated consistent performance, with an average transmission time of 2706 ??, ensuring near real-time updates across all test locations. The highest average concentrations of CO and CO2 recorded were 28 ppm and 124 ppm, respectively. According to the World Health Organization (WHO) Air Quality Guidelines, carbon monoxide (CO) levels below 50 ppm and carbon dioxide (CO₂) levels below 300 ppm are considered safe. This indicates that the air quality in the monitored locations is generally acceptable.