Central Jakarta Air Quality Forecast based on PM2.5
Seng Hansun1, Marcel Bonar Kristanda2, Winarno3
1Seng Hansun, Department of Informatics, Universitas Multimedia Nusantara, Indonesia.
2Marcel Bonar Kristanda, Department of Informatics, Universitas Multimedia Nusantara, Indonesia.
3Winarno, Department of Informatics, Universitas Multimedia Nusantara, Indonesia.
Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 02 June 2019 | PP: 158-165 | Volume-8 Issue-6C2 April 2019 | Retrieval Number: F10310486C219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Air Quality Index, Forecasting, Moving Average Methods, PM2.5.
Scope of the Article: Forest Genomics and Informatics