ANALISIS DATA MINING UNTUK OPTIMALISASI POTENSI KAWASAN GEYSER CISOLOK DALAM MENINGKATKAN PENDAPATAN DAERAH DAN PENGEMBANGAN PARIWISATA MENGGUNAKAN METODE K-MEANS CLUSTERING

The Cisolok Geyser area is one of the leading geosites in the Ciletuh- Palabuhanratu Geopark which has great potential in the ecotourism and health sectors. However, its contribution to Regional Original Revenue (PAD) is still relatively low due to the lack of maximum utilization of potential. This study aims to optimize the potential of the Cisolok Geyser area through a data mining approach using the K-Means Clustering algorithm. This method is used to group data based on a number of variables such as the number of tourist visits, facility conditions, accessibility levels, and economic contributions. The results of the clustering provide an overview of the classification of areas with different characteristics so that they can be the basis for the preparation of a more targeted tourism development strategy. This research is expected to contribute to data-based policy-making and support the sustainable management of tourist areas. The findings of this study also provide academic, theoretical, and practical benefits, especially in the integration of information technology and regional planning.
Keywords: Data Mining, Regional Original Revenue (PAD), K-Means Clustering