Optimization of Marine Spatial Planning Policies through Mapping the Potential of the Maritime Sector in Central Java based on K-Means Analysis
Abstract
This study aims to map regencies/cities in Central Java Province based on the achievement of blue economy indicators and the potential of each region, and identify the characteristics of each cluster resulting from the grouping. Using the K-means method, this research analyzes 25 variables from six maritime sectors, with data obtained from BPS, Podes, the Ministry of Marine Affairs and Fisheries, the Energy and Mineral Resources Office, and the Port Directorate. The mapping results show that the regencies/cities are divided into two clusters. However, not all coastal regencies/cities have high blue economy achievements, indicating that there is untapped potential in coastal areas. Therefore, the proposed policy recommendation is CERDAS MSP (Collaborative Engagement for Resilient Development and Advanced Solutions in Marine Spatial Planning), which involves cross-sectoral collaboration, strengthening MSP data, and utilizing technology through Focus Group Discussions at the provincial and regency/city levels to promote more inclusive and sustainable maritime management.
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