Kinerja
Vol 23, No 2 (2019): KINERJA

Indonesian Tourism Demand Forecasting using Time Series Approach to Support Decision Making Process

Friscintia, Putu Bella Ayastri (Unknown)



Article Info

Publish Date
23 Oct 2019

Abstract

Tourism industry is always growing dan uphold an important role in national economy as the second largest portion of foreign exchange contributor, as well as its role in national employment. In improving tourism industry, forecasting is needed to anticipate the perishable nature of tourism. Therefore, an accurate forecasting is needed as the baseline of strategic resource planning in order to maximize the utilization dan efficiency of the available resources. The objective of this research is to build an accurate model that is able to forecast Indonesian tourism demand. This research use ARIMA algorithm to forecast the arrivals of tourist. The result of this paper is a time-series model for tourist arrivals in Indonesia Keywords: Tourism, Demand Forecasting, ARIMA, Indonesia.

Copyrights © 2019






Journal Info

Abbrev

kinerja

Publisher

Subject

Economics, Econometrics & Finance

Description

KINERJA (ISSN Online: 2549-1709; ISSN Printed: 0853-6627) is an international journal published twice a year in March and September, hosted and managed by the Faculty of Business and Economics, Universitas Atma Jaya Yogyakarta. It was first published in June 1996. KINERJA provides a forum for ...