Volume 68 | Issue 12 | Year 2022 | Article Id. IJMTT-V68I12P501 | DOI : https://doi.org/10.14445/22315373/IJMTT-V68I12P501
Received | Revised | Accepted | Published |
---|---|---|---|
10 Oct 2022 | 15 Nov 2022 | 27 Nov 2022 | 10 Dec 2022 |
Tourism plays a pivotal role in the Indonesian economy. As a foreign exchange reserves, the performance of tourism sector is determined by our ability to bring in as many foreign tourists as possible to Indonesia. Riau Islands is the foreign tourism gate which is strategically located as a favorable foreign tourist destination. This journal aims to determine proper forecasting methods for the existing data patterns and to provide more accurate forecasting results. The methods used include Time Series Additive and Multiplicative as well as Holt Winter Additive and Multiplicative. From these four methods, the forecasting is calculated using the Holt Winter Multiplicative method as it has the smallest MAE (Mean Absolute Error) value compared to the other three methods.
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Ristifani Ulfatmi, Khairunnissa, Muhamad Hariadi, Rado Yendra, Arisman Adnan, "Comparison among Additive Time Series, Multiplicative Time Series, Holt Winter Additive and Holt Winter Multiplicative Methods in Forecasting the Number of Foreign Tourists Visit to Riau Islands Province," International Journal of Mathematics Trends and Technology (IJMTT), vol. 68, no. 12, pp. 1-6, 2022. Crossref, https://doi.org/10.14445/22315373/IJMTT-V68I12P501