Solutions to Improve Performance of IoT-Based Air Quality Monitoring System to Achieve The Sustainable Development Goals in Indonesian

¹ Electrical Engineering Education Study Program, Faculty of Technology and Vocational, Universitas Pendidikan Indonesia, Bandung, Indonesian
² Industrial Engineering Study Program, Faculty of Industrial Technology, Institut Teknologi Nasional, Bandung, Indonesian

^* Corresponding author: jaja.kustija@upi.edu

Abstract

Air pollution is a major concern in a number of major cities in the world. The impacts of air pollution include respiratory, vision and heart problems and even the risk of cancer. The air quality monitoring system in existing conditions still requires improvements in system development, such as integration with the Internet of Things. This research aims to design and build an air quality monitoring system with parameters that monitor CO levels, dust particulate levels, temperature and humidity integrated with the Blynk platform which can be accessed in real-time, in an effort to support the SDGs program as a mandate of the world community through the PBB. The research method used is Analysis, Design, Development, Implementation, and Evaluation (ADDIE). The result of this research is to design an air monitoring system with specifications for detecting CO levels (200 ppm to 10,000 ppm), dust particles (sensitivity 0.1 mg/m³), temperature (-40^oC to 80^oC), and humidity (0% 100%). Apart from that, in the long term the designed air monitoring system can be expanded, for example each industry has sensors installed in the chimneys and exhausts to detect whether the industrial exhaust is still within the permissible limits, as well as ground vehicle activity. It can also support SDGs programs including healthy and prosperous lives (point 3), clean and affordable energy (point 7), sustainable cities and settlements (point 11) and tackling climate change (point 13).