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All Journal Journal of Economic, Bussines and Accounting (COSTING) Journal of Economics and Business UBS Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Impresi Indonesia Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Return : Study of Management, Economic and Bussines Jurnal Indonesia Sosial Teknologi Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan
Nila Armelia Windasari
Institut Teknologi Bandung
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Clustering Analysis of Tourism Regions in Bali Province Using Similarity Matrix and Log-Log Regression Methods Candhrika Padma; Nila Armelia Windasari
Jurnal Impresi Indonesia Vol. 5 No. 8 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i8.7990

Abstract

The tourism accommodation sector in Bali Province has grown rapidly; however, its distribution across regencies/cities remains highly uneven, motivating the need for a rigorous clustering method to map accommodation-capacity similarities among regions. This study aims to group the nine regencies/cities of Bali Province based on the similarity of ten types of accommodation and tourism-support facilities (star hotels, non-star hotels, villas, apartments, homestays, camping grounds, restaurants, bars, spas, and water tourism facilities), and to examine their relationship with Gross Regional Domestic Product (GRDP). The method combines log-log regression to test the elasticity of star hotel capacity on GRDP, squared Euclidean distance and maximum distance (dmax) to compute a similarity index between every pair of regencies/cities, and the Kruskal-Wallis test to validate differences in GRDP across zones. The regression results show that the star hotel variable has a very strong and statistically significant effect on GRDP (R² = 84.89%; p = 0.00042). The similarity matrix reveals extreme inequality: Badung Regency shows a similarity value that is essentially zero relative to every other regency/city, whereas Jembrana and Tabanan demonstrate a very high similarity value (0.9547). Based on tertile scores, the regions are classified into three zones: Zone I, representing high capacity (Badung and Denpasar); Zone II, representing medium capacity (Tabanan, Gianyar, and Buleleng); and Zone III, representing low capacity with the highest homogeneity (Jembrana, Klungkung, Bangli, and Karangasem). The Kruskal-Wallis test confirms that the GRDP differences across zones are statistically significant (H = 7.00; df = 2; p = 0.0302). These findings indicate that tourism-equalization policies in Bali should be designed differently for each zone rather than applied uniformly across all regions.
Co-Authors Candhrika Padma Dea Sona Alamanda Erlangga Nata Wijaya Harry Sipangkar Husnita Husnita Juan Ramadheni Hermawan Muthia Rizqika Fatiha Nadiya Rahmawati Naufal Alharits Sadly Rania Alicya Sarah Lasroma Manalu Stenaldo Abdinegara Kabut