UMN Knowledge Center

Forecasting Domestic Tourist Arrivals to Bali: H-WEMA Approach

Hansun, Seng and Kristanda, Marcel Bonar and Subanar, Subanar and Indrati, Christiana Rini and Aryono, Teddy (2020) Forecasting Domestic Tourist Arrivals to Bali: H-WEMA Approach. 2019 5th International Conference on New Media Studies (CONMEDIA).

Full text not available from this repository.
Official URL: https://ieeexplore.ieee.org/abstract/document/8981...

Abstract

Bali, also known as the Island of the Gods, is one of the most famous tourist destinations in the world. It attracts not only foreign visitors but also domestic visitors from Indonesia. Accurate prediction of tourist volume to a region has become a key issue in tourism economic analysis and development planning. Therefore, in this study, we are trying to forecast the domestic tourist arrivals to Bali province by using Holt's Weighted Exponential Moving Average (H-WEMA) approach. H-WEMA is a relatively new hybrid moving average method that combines the Weighted Moving Average weighting factor calculation with the procedure of Holt's Double Exponential Smoothing method. Based on the experimental results of this study, H-WEMA has successfully applied to forecast the domestic tourist arrivals to Bali province. We found that in 2019, there is an increasing pattern spotted for each consecutive month, with a total number of domestic tourist visitors can reach out up to 12 million people.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods (Artificial Intelligence, Machine Learning, 3D Graphics, Digital Video, Data Mining, Augmented Reality)
900 History and Geography > 910 Geography and Travel
Divisions: Fakultas Teknik Informatika > Program Studi Informatika
Depositing User: mr admin umn
Date Deposited: 21 Oct 2021 03:05
Last Modified: 21 Oct 2021 03:05
URI: http://kc.umn.ac.id/id/eprint/18921

Actions (login required)

View Item View Item