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All Journal Jurnal Ilmu Lingkungan JURNAL NASIONAL TEKNIK ELEKTRO
Aulia Fikriarini Muchlis
Department Of Environmental Engineering, Universitas Islam Negeri Maulana Malik Ibrahim
Electrical & Electronics Engineering Environmental Science

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Korelasi Jumlah Kendaraan Terhadap Kualitas Udara, Suhu, Dan Kebisingan Di Kota Malang Dengan Pendekatan Berbasis Internet Of Things Hanggara, Fuad Dwi; Aulia Fikriarini M.; Allin Junikhah; Yasmin Zafirah; Fariz Rifqi Zul Fahmi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 3: November 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n3.1259.2024

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.
Real-Time Ambient Environmental and Noise Pollution Monitoring System in High-Density Areas of Malang City using Internet of Things (IoT) Technology Yasmin Zafirah; Allin Junikhah; Fuad Dwi Hanggara; Fariz Rifqi Zul Fahmi; Aulia Fikriarini Muchlis
Jurnal Ilmu Lingkungan Vol 24, No 2 (2026): March 2026
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.24.2.475-483

Abstract

This study evaluated real-time ambient environment and sound pollution monitoring system using Internet of Things (IoT). This system detects wide range of temperature, humidity, fine particulate matter (PM2.5), Carbon monoxide (CO), Carbon dioxide (CO2), and noise level in six traffic areas in Malang City during peak hours. Using a variety of sensors, the system continuously monitors ambient environment and noise pollution at 06:00-07:00, 11:00-12:01, 15:00-16:02. The monitoring tools was placed ±3 meters from the roadside near to the traffic light. Data were collected during peak traffic hours, emphasizing the direct impact of car emissions on air quality. Intense vehicle activity has contributed to increased temperatures and higher particulate matter in specific areas. However, CO, CO₂ and noise levels were observed to remain within acceptable safety thresholds. Notably, this study identified an inverse correlation between temperature and humidity. The IoT-based environmental monitoring system, deployed across six high-traffic locations in Malang, has been successfully implemented and effectively operated. This study investigated environmental factors that greater than threshold using IoT monitoring system deserving further evaluation.
Co-Authors Allin Junikhah Allin Junikhah Fariz Rifqi Zul Fahmi Fariz Rifqi Zul Fahmi Fuad Dwi Hanggara Fuad Dwi Hanggara Yasmin Zafirah Yasmin Zafirah