| Autor: |
Primandari, Arum Handini, Purwaningsih, Tuti, Oetama, Randi Putra |
| Předmět: |
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| Zdroj: |
International Journal of Advances in Soft Computing & Its Applications; Mar2017, Vol. 9 Issue 1, p88-98, 11p |
| Abstrakt: |
Income tax is one of Indonesian financing sources to fund its expenditure. It is used to defray national development for improving public welfare. Therefore, the government sets the target for tax revenue so that it can be managed effectively. Predicting the target would help the government to thoroughly prepare the tax management. Because of either trend or seasonal pattern on its data, the basic method commonly used is holt-winter exponential smoothing. However, due to various schedule of tax payment, data have random shock. We employed grey method which was applied on exponential smoothing to reduce this random, hence we have smoothed data. In optimizing the parameters of the exponential smoothing, we used levenberg-marquardt algorithm. The result shows us that grey-holt exponential smoothing method is not always outperforming basic holt-winter exponential smoothing for forecasting Indonesian income tax. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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