DESIGN AND DEVELOPMENT OF PARTICULATE MATTER MONITORING SYSTEM IN ITB GANESHA CAMPUS AREA BASED ON EMBEDDED SYSTEM AND INTERNET OF THINGS

• Main Author: Anas Nugrahanto, Naufal
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/75285
• Institution: Institut Teknologi Bandung

Over time, the air quality has been deteriorating due to the presence of hazardous pollutants that mix with the air or atmosphere of the Earth. One of the dangerous pollutants is fine dust or particulate matter (PM). Considering that Bandung City is situated in a valley surrounded by mountains, its topographic condition, along with numerous industrial and residential areas on the outskirts of the city, allows the polluted air from the outskirts to accumulate in Bandung. Moreover, the location of the Bandung Institute of Technology (ITB) Ganesha Campus in this basin also contributes to the decline in air quality. With the resumption of activities on campus, this issue cannot be ignored. One of the solutions to address this problem is to increase the awareness of the campus community about fine dust pollution. The proposed solution is to establish a monitoring and prediction system for fine dust pollutants within the campus environment. The development of this system follows the V-model methodology, introduced by Kim R. Fowler and Craig L. Silver. Additionally, the system is built using a five-layer IoT architecture. Three selected components have been integrated into the system, chosen from various alternatives based on specific aspects. These components include the ESP32 DevKit V1 microcontroller, the Plantower PMS5003 sensor, and the OLED SSD1306 display. To establish a connection from the system devices to the Firebase database, a WiFi network is utilized, providing a user-friendly and easily accessible solution. The developed layer architecture is then integrated with the prediction system and the WebApp application layer, making it accessible and usable for all members of the campus community. After going through the design and implementation process using the V-model methodology, a successful monitoring and prediction system for particulate matter has been created for the ITB Ganesha Campus area.