Monitoring and Analyzing Air Quality in Several Locations around Medan City Using IoT-Based Integrated Sensors

Abstract

This research is motivated by the importance of monitoring air quality in industrial and non-industrial areas, especially in the city of Medan, Indonesia. Increasing growth of the industrial sector and use of transportation can increase air pollution. Air pollution caused by emissions of harmful gases such as NO2 and CO, as well as microscopic particles such as PM2.5 has a significant impact on human health, especially causing respiratory and heart disease and premature death. The rapid development of Internet of Things (IoT) technology can detect air quality and transmit sensor readings wirelessly via the internet to an Android or PC. This research aims to design an air quality monitoring tool related to the presence of dangerous gases NO2, CO and levels of microscopic particles PM2.5 with an integrated mics-6814 sensor and PMS5003 sensor based on IoT accurately and in real-time and analyze the results of air quality monitoring in research area. The research methodology involves measuring air quality parameters such as PM2.5, CO, NO2, temperature, and humidity using IoT-based integrated design tools. The research location consists of 3 points, namely around the industrial and residential areas of the Kawasan Industri Medan (KIM) Mabar, the Industrial Area in Tanjung Morawa, and the University of North Sumatra. Numerical data will be tabulated from the results of research carried out for 7 hours in 3 days based on the specified time. The results of this research show that the air quality monitoring system designed can measure temperature, humidity, PM2.5, NO2 and CO levels in real time and accurately. Air quality data collected at several research locations shows different trends. Overall, the air quality in the research area is in the healthy category, having no impact on the health of humans, animals and plants which is linked to Peraturan Menteri Lingkungan Hidup Dan Kehutanan Republik Indonesia. Suggestions for further research include selecting components that are more sensitive in detecting air quality and paying attention to environmental conditions which can reduce deviation values ​​from the sensor.