Hanggara, Fuad Dwi ORCID: https://orcid.org/0000-0002-9018-0249, Muchlis, Aulia Fikriarini
ORCID: https://orcid.org/0000-0002-6295-3136, Junikhah, Allin
ORCID: https://orcid.org/0009-0001-5432-2457, Fariz, Rifqi Zul Fahmi and Zafirah, Yasmin
(2024)
Correlation of Vehicle Traffic to Air Quality, Temperature, and Noise in Malang City Through an Internet of Things (IoT) Approach.
Jurnal Nasional Teknik Elektro, 13 (3).
pp. 144-152.
ISSN 2407-7267
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Abstract
In response to the issues of air pollution, temperature, and noise, this project attempts to create an air quality, temperature, and noise monitoring system using Internet of Things (IoT) technology. This system will comprise physical components and a web platform that delivers real-time environmental reports. Users can readily obtain information regarding air quality, temperature, and noise levels via this platform, which takes advantage of the internet's accessibility. This Internet of Things-based device monitors environmental quality in six high-traffic areas in Malang, Indonesia. The system uses various sensors to monitor air quality, temperature, humidity, dust levels, carbon monoxide (CO), carbon dioxide (CO2), and noise pollution in real-time. Data was collected during peak traffic hours, demonstrating the direct influence of car emissions on air quality. The findings show that some regions' CO and particulate matter levels surpass safe criteria, notably during peak traffic periods, but CO2, humidity, and noise levels are below acceptable norms. These findings highlight the necessity for urban air pollution reduction initiatives. Additional sensor calibration and communication modifications are recommended to increase system accuracy and dependability. This study gives significant insights for local authorities to manage urban environmental quality and safeguard human health
Item Type: | Journal Article |
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Keywords: | Urban Air Quality, Outdoor Monitoring System, Internet of Things, Firebase |
Subjects: | 08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080608 Information Systems Development Methodologies |
Divisions: | Faculty of Technology > Department of Architecture |
Depositing User: | Fuad Dwi Hanggara |
Date Deposited: | 03 Dec 2024 14:51 |
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