Hansun, Seng (2020) TB CNR Prediction Using H-WEMAA Five Years Reflection. International Journal Advance Soft Computing Application, 12 (3).
Full text not available from this repository.Abstract
Based on the Global Tuberculosis Report 2019, Indonesia wasranked as number three of the highest TB-burden countries.Tuberculosis (TB) itself is one of the top five leading causes ofDisability-Adjusted Life Years (DALYs) in Indonesia. One healthindicator that can be used to measure TB outbreak in a region is theCase Notification Rate (CNR). There two goals of this study firstly, isto give a holistic reflection of TB disease in Indonesia by using the TBnotification rate of each province and secondly, is to predict future TBoutbreak in Indonesia by using the province’s TB notification rate.The prediction method being used in this study is the Holt’s WeightedExponential Moving Average (H-WEMA) method. The predictionresults show that Sulawesi Selatan, DKI Jakarta, Gorontalo, andPapua are the four provinces predicted to have the highest CNR in thenear future
| 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: | Administrator UMN Library |
| Date Deposited: | 21 Oct 2021 02:40 |
| Last Modified: | 21 Oct 2021 02:40 |
| URI: | https://kc.umn.ac.id/id/eprint/18918 |
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