Correlation of Vehicle Traffic to Air Quality, Temperature, and Noise in Malang City Through an Internet of Things (IoT) Approach
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Keywords
Outdoor Air Quality Monitoring Systems, Internet of Things, Prototype, Urban Environmental Health
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.
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[30] V. K. Rayabharapu, V. Rampur, N. M. Jyothi, V. Tripathi, T. Bhaskar, and K. B. Glory, “IOT sensor-based pollution management control technique,” Meas. Sensors, vol. 24, no. October, 2022.
[2] M. H. Arman Ganji, Omid Youssefi, Junshi Xu, Keni Mallinen, Marshall Lloyd, An Wang, Ardevan Bakhtari, Scott Weichenthal, “Design, calibration, and testing of a mobile sensor system for air pollution and built environment data collection: The urban scanner platform,” Environ. Pollut., vol. 317, no. 120720, 2023.
[3] J. V. Irfan Batur, Samuel A. Markolf, Mikhail V. Chester, Ariane Middel, David Hondula, “Street-level heat and air pollution exposure informed by mobile sensing,” Transp. Res. Part D Transp. Environ., vol. 113, no. 103535, 2022.
[4] C. W. Thara Seesaard, Kamonrat Kamjornkittikoon, “A comprehensive review on advancements in sensors for air pollution applications,” Sci. Total Environ., vol. 951, 2024.
[5] N. P. Decy Arwini, “Dampak Pencemaran Udara Terhadap Kualitas Udara Di Provinsi Bali,” J. Ilm. Vastuwidya, vol. 2, no. 2, pp. 20–30, 2020.
[6] A. Octaviano, S. Sofiana, D. O. Agustino, and P. Rosyani, “Pemantauan Kualitas Udara Berbasis Internet O Things,” Media Online), vol. 3, no. 2, pp. 147–156, 2022.
[7] Yohandik & Dzulkiflih, “Analisis Tingkat Kebisingan Kendaraan di Lampu lalu Lintas Simpang Tiga Jalan Raya Prambon Sidoarjo Menggunakan Level Meter Berbasis Arduino Uno,” Inov. Fis. Indones., vol. 12, pp. 30–41, 2023.
[8] M. A. Satryawan and E. Susanti, “PERANCANGAN ALAT PENDETEKSI KUALITAS UDARA DENGAN IoT (Internet of Things) MENGGUNAKAN WEMOS ESP32 D1 R32,” Sigma Tek., vol. 6, no. 2, pp. 410–419, 2023.
[9] M. Hasanuddin and H. Herdianto, “Sistem Monitoring dan Deteksi Dini Pencemaran Udara Berbasis Internet Of Things (IOT),” J. Comput. Syst. Informatics, vol. 4, no. 4, pp. 976–984, 2023.
[10] C. Katushabe, S. Kumaran, and E. Masabo, “Internet of things based visualisation of effect of air pollution on the lungs using HEPA filters air cleaner,” Heliyon, vol. 9, no. 7, p. e17799, 2023.
[11] A. Y. Rangan, Amelia Yusnita, and Muhammad Awaludin, “Sistem Monitoring berbasis Internet of things pada Suhu dan Kelembaban Udara di Laboratorium Kimia XYZ,” J. E-Komtek, vol. 4, no. 2, pp. 168–183, 2020.
[12] B. S. Dewa and I. H. Santoso, “Perancangan Dan Implementasi Alat Pendeteksi Kebisingan Kendaraan Bermotor Berbasis Internet Of Things Dengan Menggunakan Sensor KY-037 Dan Sensor MAX4466 The Design And Implementation Of Motor Vehicle Noise Detection Equipment Based On Internet Of Things,” eProceedings Eng., vol. 8, no. 6, p. 3463, 2022.
[13] Z. Zickri, A. Novandri, R. Adriman, and Nasaruddin, “Shrimp Pond Monitoring System using Cooperative Wireless Sensor Network Multi-Hop Technique based on Internet of Things,” J. Nas. Tek. Elektro, vol. 1, pp. 56–63, 2023.
[14] E. Collado et al., “Open-source Internet of Things (IoT)-based air pollution monitoring system with protective case for tropical environments,” HardwareX, vol. 19, no. January, 2024.
[15] M. N. A. Ramadan, M. A. H. Ali, S. Y. Khoo, M. Alkhedher, and M. Alherbawi, “Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment,” Ecotoxicol. Environ. Saf., vol. 283, no. August, p. 116856, 2024.
[16] L. Michelle, A. A. Ravica, P. Sherryn, and L. M. Easterline, “ScienceDirect ScienceDirect Smart Air Monitoring with IoT-based MQ-2 , MQ-7 , MQ-8 , and Smart Air Monitoring with IoT-based MQ-135 Sensors using NodeMCU MQ-135 Sensors using NodeMCU ESP32,” 2024.
[17] G. . C. . Rumampuk, V. . C. . Poekoel, and A. . M. Rumagit, “Internet of Things-Based Indoor Air Quality Monitoring System Design Perancangan Sistem Monitoring Kualitas Udara Dalam Ruangan Berbasis Internet of Things,” J. Tek. Inform., vol. 17, no. Internet of Things-Based Indoor Air Quality Monitoring System Design Perancangan Sistem Monitoring Kualitas Udara Dalam Ruangan Berbasis Internet of Things, pp. 11–18, 2021.
[18] P. Deshmukh, S. Kimbrough, S. Krabbe, R. Logan, V. Isakov, and R. Baldauf, “Identifying air pollution source impacts in urban communities using mobile monitoring,” Sci. Total Environ., vol. 715, p. 136979, 2020.
[19] E. P. Wonohardjo and G. P. Kusuma, “Air pollution mapping using mobile sensor based on internet of things,” Procedia Comput. Sci., vol. 157, pp. 638–645, 2019.
[20] W. A. Jabbar, T. Subramaniam, A. E. Ong, M. I. Shu’Ib, W. Wu, and M. A. de Oliveira, “LoRaWAN-Based IoT System Implementation for Long-Range Outdoor Air Quality Monitoring,” Internet of Things (Netherlands), vol. 19, no. May, 2022.
[21] M. Rizal, A. Arifin, M. F. Rasyd, A. Asvin, M. Suradi, and A. Bahtiar, “Design and Implementation of a Real-Time Air Pollution Monitoring System Based on Android at SMKS Darul Ulum Layoa Bantaeng Desain dan Implementasi Sistem Pemantauan Polusi Udara Berbasis Android Real-Time di SMKS Darul Ulum Layoa Bantaeng,” vol. 3, no. October, pp. 143–152, 2023.
[22] G. M. Jagriti Saini, Maitreyee Dutta, “Modeling indoor PM2.5 using Adaptive Dynamic Fuzzy Inference System Tree (ADFIST) on Internet of Things-based sensor network data,” Internet of Things (Netherlands), vol. 20, no. 100628, 2022.
[23] D. Wall, P. McCullagh, I. Cleland, and R. Bond, “Development of an Internet of Things solution to monitor and analyse indoor air quality,” Internet of Things (Netherlands), vol. 14, p. 100392, 2021.
[24] N. Ariana, S. Mandala, M. F. Hassan, M. Qomaruddin, and B. Ibrahim, “Jurnal Nasional Teknik Elektro Intrusion Detection System Development on Internet of Things using Ensemble Learning,” vol. 2, 2024.
[25] S. Ge, N. Liu, and G. Dai, “Green city air detection and healthy exercise based on the Internet of Things and cloud platform embedded system,” Environ. Technol. Innov., vol. 23, p. 101795, 2021.
[26] A. K. S. Ong et al., “Determining factors affecting the perceived usability of air pollution detection mobile application ‘AirVisual’ in Thailand: A structural equation model forest classifier approach,” Heliyon, vol. 8, no. 12, 2022.
[27] M. Rigau Sabadell, “Ambient air pollution, urban green space and childhood overweight and obesity: a health impact assessment for Barcelona, Spain.,” Respository UPF, vol. 264, no. P1, pp. 1–20, 2022.
[28] M. N. A. Ramadan, M. A. H. Ali, S. Y. Khoo, M. Alkhedher, and M. Alherbawi, “Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment,” Ecotoxicol. Environ. Saf., vol. 283, no. August, 2024.
[29] M. F. Gabriel et al., “Implementation of an IoT architecture for promoting healthy air quality in 84 homes of families with children,” Build. Environ., vol. 266, no. August, 2024.
[30] V. K. Rayabharapu, V. Rampur, N. M. Jyothi, V. Tripathi, T. Bhaskar, and K. B. Glory, “IOT sensor-based pollution management control technique,” Meas. Sensors, vol. 24, no. October, 2022.
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Published
Nov 30, 2024
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How to Cite
Hanggara, F. D., Aulia Fikriarini M., Allin Junikhah, Yasmin Zafirah, & Fariz Rifqi Zul Fahmi. (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), 144–152. https://doi.org/10.25077/jnte.v13n3.1259.2024
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