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Section Computer Science

Spatial Clustering Of Tourism Investment Potential In Tomohon City

Klasterisasi Spasial Potensi Investasi Pariwisata Kota Tomohon
Vol. 11 No. 1 (2026): June :

Efraim R. S. Moningkey (1), Nelsi Timang (2), Kristofel Santa (3)

(1) Program Studi Teknik Informatika, Universitas Negeri Manado, Indonesia
(2) Program Studi Teknik Informatika, Universitas Negeri Manado, Indonesia
(3) Program Studi Teknik Informatika, Universitas Negeri Manado, Indonesia
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Abstract:









General Background: Tourism represents a strategic driver of regional economic development that requires spatially grounded analytical approaches to support investment planning. Specific Background: Tomohon City, a volcanic tourism area in North Sulawesi, contributes substantially to regional economic output but experiences uneven spatial distribution of tourism investment due to accessibility and infrastructural variation. Knowledge Gap: Tourism investment planning in Tomohon has not previously integrated spatial clustering analysis with interactive geovisualization to classify investment potential systematically. Aims: This study aims to analyze and visualize tourism investment potential in Tomohon City using K-Means spatial clustering integrated into a WebGIS platform. Results: Based on 500 tourism sites and indicators including accessibility, visitor volume, supporting facilities, and estimated return on investment, three clusters were identified: high potential areas covering 28% of the region with ROI of 25–35%, medium potential areas covering 52% with ROI of 15–25%, and low potential areas covering 20% with ROI of 5–15%. Novelty: This research introduces an integrated spatial model combining K-Means clustering and WebGIS visualization for tourism investment assessment in a volcanic urban setting. Implications: The results provide a replicable spatial decision-support framework for tourism investment planning aligned with sustainable development objectives.


Highlights

• Tourism sites are spatially grouped into three investment potential categories
• Central urban areas dominate high-return tourism zones
• Web-based mapping supports structured spatial decision-making


Keywords

Spatial Analysis; Tourism Investment; WebGIS; K-Means Clustering; Tomohon City









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