Time series forecasting for tourism industry in Malaysia

Zainal, Nurul Amira and Abu, Noratikah and Tsamienah Taib, Siti Aishah and Ramli, Nor Azuana and Kendrick Go, Clark (2025) Time series forecasting for tourism industry in Malaysia. Advances and Applications in Statistics, 92 (1). pp. 77-87. ISSN 0972-3617

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Abstract

This study is conducted to forecast the future tourism demand in Malaysia by applying Box-Jenkins modelling. The time series data of tourist arrivals volume in Malaysia before MCO retrieved from MOTAC Malaysia database is implemented in this study. The forecast evaluation methods used to validate the best Box-Jenkins model before proceeding to forecasting stage are MAPE and RMSE, and the analysis was performed by using Python. The findings show that SARIMA ( ) ( )121,1,01,1,2 was considered as highly accurate forecasting model based on its least error produced.

Item Type:	Article
Uncontrolled Keywords:	Box-Jenkins model, SARIMA model, Time series
Divisions:	Faculty Of Mechanical Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	15 Jul 2026 00:45
Last Modified:	15 Jul 2026 00:45
URI:	http://eprints.utem.edu.my/id/eprint/29940
Statistic Details:	View Download Statistic

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