Hansun, Seng and Kristanda, Marcel Bonar (2019) AQI Measurement and Prediction using B-WEMA Method. International Journal of Engineering Research and Technology, 12 (10). ISSN 0974-3154
Full text not available from this repository.Abstract
Air is one of the main key factors for all living beings in the world. Despite its importance, air can be easily polluted by many pollutants that can pose a great threat to human health. Therefore, the air quality index became a crucial tool to measure the air quality in one area and regaining its popularity among researchers. In this study, we focus on the AQI measurement and prediction based on historical data for the Central Jakarta region. PM2.5 as one of the most commonly used elements in AQI measurement was used in this study. With a total of 744 data records of PM2.5, which was pre-processed to 723 records, B-WEMA method was implemented to predict the future value. Based on the experimental results, B-WEMA had successfully predicted the future values of Central Jakarta AQI. It had the highest accuracy level compare with Weighted Moving Average, Exponential Moving Average, and Brown’s Double Exponential Smoothing methods.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 000 Computer Science, Information and General Works 600 Technology (Applied Sciences) > 620 Engineering > 620 Engineering and Applied Operations |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 21 Oct 2021 02:26 |
| Last Modified: | 02 Mar 2022 02:18 |
| URI: | https://kc.umn.ac.id/id/eprint/18911 |
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