Prediction of Jakarta City air quality index: modified double exponential smoothing approaches

Hansun, Seng and Wicaksana, Arya and Kristanda, Marcel Bonar (2021) Prediction of Jakarta City air quality index: modified double exponential smoothing approaches. International Journal of Innovative Computing, Information and Control, 17 (4). ISSN 1349-4198

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Abstract

Air is a necessary element for all living beings. The quality of air could affect the well-being of the people, and therefore, it is important to make sure that the air quality could be measured properly. One standard measurement of air quality is the Air Quality Index (AQI). In this study, the Jakarta City AQI, as one of the cities that suffer from bad air quality due to several factors, will be predicted using two modified hybrid prediction methods, namely the B-WEMA and the H-WEMA methods. The comparative results in two collected datasets, i.e., the Central Jakarta and the South Jakarta AQIs, showed that B-WEMA excels H-WEMA in predicting the air quality.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems
Divisions: Faculty of Engineering & Informatics > Informatics
Depositing User: mr admin umn
Date Deposited: 14 Oct 2021 08:12
Last Modified: 14 Oct 2021 08:12
URI: https://kc.umn.ac.id/id/eprint/18772

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