ANALISIS KEBIJAKAN TRANSMIGRASI DI KABUPATEN SORONG MENGGUNAKAN PENDEKATAN SPATIAL-AI
DOI:
https://doi.org/10.66896/asset.1.01.2026.12Keywords:
Spatial Planning, Spatial-AI, Policy Analysis, Semantic NetworksAbstract
This research examines the transmigration policy in Sorong Regency, Southwest Papua Province, using the QGIS Processing-based SPATIALIS-AI (Spatial Intelligence for Policy and Objective Synthesis) approach. The main objective of the study is to identify policy patterns, semantic networks across documents, and to formulate a synthesis of spatial planning objectives based on official policy documents. The analysis was conducted on eight policy documents, encompassing national, provincial, and regency regulations, which were processed using a combination of classical text network analysis and artificial intelligence (AI)-based extraction. The analysis yielded 12 dominant policy clusters, in which Cluster 0 (Spatial Planning Policy Integration), with the proposed objective of "Realizing integrated, competitive, safe, and sustainable spatial planning," ranked the highest. The findings indicate that the transmigration area in Sorong Regency has significant strategic potential, but requires stronger cross-document harmonization between the RTRW (Regional Spatial Plan), RPJMD (Regional Medium-Term Development Plan), RPJPD (Regional Long-Term Development Plan), and transmigration regulations. The Spatial-AI approach proved capable of identifying semantic connectivity that is not always apparent through manual reading, thereby serving as an effective decision-support tool for regional planners
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