ANALISIS SPASIAL PRIORITAS PENGEMBANGAN WILAYAH BERBASIS INTEGRASI DATA PERTANAHAN, ZONA NILAI TANAH, DAN RENCANA TATA RUANG WILAYAH DI KECAMATAN RATAHAN KABUPATEN MINAHASA TENGGARA
DOI:
https://doi.org/10.35794/2j7dt024Abstract
Regional development planning in Southeast Minahasa Regency is still constrained by the sectoral management of land administration, land value, and spatial planning data, which has yet to produce measurable development priorities. This study aims to identify the spatial condition and distribution of land administration data, Land Value Zones (ZNT), and the spatial pattern of the Regional Spatial Plan (RTRW); to construct a spatial integration model; to develop a regional development priority map; and to formulate policy recommendations for Ratahan District. A descriptive-analytical quantitative spatial approach based on Geographic Information Systems was applied. The weights of three criteria, namely RTRW conformity, land value zone, and land administration data comprising two parameters (existing land use and land rights status), were derived through the Analytical Hierarchy Process (AHP) involving 13 cross-institutional experts and then applied in a weighted overlay model, while protected areas were excluded from scoring through spatial masking. The results show that registered land coverage reaches only 12.76% of the total 7,031.74 ha, dominated by Freehold Title (83.03%), while land values form a monocentric pattern concentrated in the urban core. The AHP synthesis produced weights of 0.3953 for RTRW conformity, 0.2294 for land value zone, 0.2081 for land rights status, and 0.1673 for existing land use, with a Consistency Ratio of 0.0171. The priority map yields four classes: High Priority 773.01 ha (11.00%), Moderate Priority 4,590.06 ha (65.28%), Low Priority 2.93 ha (0.04%), and protected areas 1,803.53 ha (25.65%). Tosuraya, Wawali, and Lowu Satu Sub-districts rank highest. A sensitivity analysis confirms that the priority ranking is stable against weight changes (Spearman correlation 0.98–1.00). The model is recommended as a joint decision-support instrument for updating taxable land value, targeting systematic land registration, and controlling land-use conversion.
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