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Abstract

Tourism is an important sector that significantly contributes to the economy, so the tourism sector is a priority development program. International tourist arrivals indirectly contribute to the country's economic growth. The government has an important task to increase the number of foreign tourist visits. One way to encourage an increase in foreign tourist arrivals is by forecasting. In general, the time series data for the arrival of foreign tourists has a seasonal pattern. The forecasting method that can model seasonal data is SARIMA. This study aims to predict the arrival of foreign tourists in Indonesia using the SARIMA model. Forecasting results show that the appearance of foreign tourists to Indonesia has increased every period.

Keywords

Tourism International Tourist Time Series Forecasting SARIMA

Article Details

Author Biographies

Deden Nurhasanah , Universitas Islam Indonesia, Indonesia

 

 

Aurielle Maulidya Salsabila , Universitas Islam Indonesia, Indonesia

 

 

Mujiati Dwi Kartikasari, Universitas Islam Indonesia, Indonesia

 

 

How to Cite
Nurhasanah , D. ., Salsabila , A. M. ., & Kartikasari, M. D. (2022). Forecasting International Tourist Arrivals in Indonesia Using SARIMA Model. Enthusiastic : International Journal of Applied Statistics and Data Science, 2(1), 19–25. https://doi.org/10.20885/enthusiastic.vol2.iss1.art3
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