Most of the study of the number of foreign tourists in Indonesia base on their origin country, have only focused on panel data
analysis. It could be misleading because there may be a spatial influence among the original country. This study analyzed some factors
that could affect the number of tourists who came to Indonesia for 2011-2015. The Spatial Durbin Model (SDM) was used in this study.
Two types of proximity matrices were used i.e. contiguity matrix and inverse distance matrix. The results showed that the best model was
the SDM model with contiguity matrix. The factors which significantly affected the number of tourists were GDP per capita, number of
population, and existing the direct flight to Indonesia.
Published In:IJCSN Journal Volume 7, Issue 1
Date of Publication : February 2018
Pages : 01-06
Tables : 03
Dini Arifatin : master student in Department of Statistics, Bogor
Agricultural University, Indonesia. Her main interest is on spatial
Dr. A. Djuraidah : Currently worked as a lecture in Department
of Statistics, Bogor Agricultural University. Her main interests
are on spatial analysis and statistical probability theory.
Dr. Utami Dyah Syafitri : Currently worked as a lecture in
Department of Statistics, Bogor Agricultural University. Her
main interest is in Experimental Design, Chemometric and
Data modeling of foreign tourists in Indonesia by country
2011-2015 with SDM fixed effect using a region based
spatial weighting matrix was the best model. The factors
that influenced the SDM model directly and indirectly were GDP per capita, population, BVKS factor and direct
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