Hansun, Seng and Kristanda, Marcel Bonar and Winarno, P.M (2018) Indonesia’s Export-Import Prediction: A Hybrid Moving Average Approach. Journal of Engineering and Science Research, 2 (6). ISSN 2289-7127
Full text not available from this repository.Abstract
Indonesia as one of the largest countries in Asia Pacific region plays a crucial role in international trading. Since both the import and export performance have become key variables in economic growth of a nation, the urgent to have a proper prediction and analysis of those variables has become a major issue. In this study, we try to address the issue by using a relatively new hybrid moving average approach, i.e. the WEMA (Weighted Exponential Moving Average) method. Using different parameters, it has been shown that WEMA approach could predict Indonesia’s export-import future values. Based on MAPE (Mean Absolute Percentage Error) and MASE (Mean Absolute Scaled Error) values as forecast error measurement criteria, WEMA gives the best performance in predicting Indonesia’s export weight in kg unit.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 300 Social Sciences > 380 Commerce, communications and transportation > 382 International Commerce (Foreign Trade, Import, Export) |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 21 Oct 2021 01:47 |
| Last Modified: | 21 Oct 2021 01:47 |
| URI: | https://kc.umn.ac.id/id/eprint/18899 |
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