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All Journal Jurnal Pilar Nusa Mandiri Jurnal Statistika dan Aplikasinya
Qori'atunnadyah, Marita
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Social Sciences Other

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Mapping Domestic and Foreign Tourists in East Java Using C-Means Clustering Qori'atunnadyah, Marita
Jurnal Statistika dan Aplikasinya Vol. 8 No. 1 (2024): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.08105

Abstract

Tourism is a priority sector identified by the government for its potential to drive economic growth, job creation, community development, and regional progress. Although significant, it still requires a detailed mapping of tourist visit patterns to optimize regional tourism potential. This study uses the C-Means Clustering method to categorize districts and cities in East Java based on the number of domestic tourists and foreign tourists. Data from 2018 to 2022 is used to identify different patterns and groups. The methodology involves clustering the data based on similarities in the number of visitors, which provides insight into regional tourism dynamics. The results revealed three main groups of domestic tourists: high, medium, and low-visitation regions. For foreign tourists, five groups were identified, reflecting variations in the level of tourist visits. These groups help understand the distribution and concentration of tourists in different regions, which is important for targeted promotion strategies and efficient resource allocation. A limitation of this study is that it does not go deeper into external factors affecting tourism, such as the COVID-19 pandemic. The originality of this research lies in the application of the C-Means Clustering method to map domestic tourists and foreign tourists in East Java not simultaneously, thus providing valuable insights for policymakers and industry stakeholders to encourage collaboration and innovation in the tourism sector.
MAPPING OF DOMESTIC AND FOREIGN TOURIST VISITS IN EAST JAVA USING THE DBSCAN METHOD Qori'atunnadyah, Marita
Jurnal Pilar Nusa Mandiri Vol. 21 No. 1 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i1.6073

Abstract

Tourism is important in economic growth and regional development, especially in East Java Province with diverse tourist attractions. However, the mapping of domestic and foreign tourist visit patterns in this province is still limited. For this reason, this study uses the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) method which can group density-based data without determining the number of clusters from the beginning and handle noise. The study aims to map districts/cities in East Java based on the number of tourist visits from 2018 to 2022, using visit data from the East Java Provincial Culture and Tourism Office. The analysis results show that in domestic tourist data, with parameters MinPts = 3 and ε = 1.00, one main cluster is formed consisting of 31 tourist locations and 7 noisy locations. In foreign tourist data, with ε = 0.6 and MinPts = 3, there is one cluster with 30 tourist locations and 8 other locations are categorized as noisy. Noisy locations tend to have higher visits but do not fit into the main cluster. These findings provide important insights for more targeted tourism promotion strategies and efficient resource allocation in East Java.
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