Central Jakarta air quality forecast based on PM2.5

Abstract

Air, as one of the main key factor for all living beings, can be easily polluted by many pollutants. To know a region’s air quality, an Air Quality Index (AQI) has been developed. There are many measurement elements to calculate AQI, but the most dominating one is PM2.5. PM2.5 is the measurement of particulate matter less than 2.5μ in diameter. In this study, we try to forecast the Central Jakarta Air Quality based on PM2.5. Three conventional moving average methods and one hybrid moving average method are incorporated in this study to predict future values of AQI based on historical data we have. Based on the experimental result on 730 preprocessed data, we found that all the conventional and hybrid moving average methods successfully implemented to forecast the future values of AQI in Central Jakarta.