Year: 2026
Type: article
Abstract: Indonesia's persistent reliance on maritime salt imports highlights the urgent need for an integrated spatial-socioeconomic framework to accelerate self-sufficiency.This study establishes a data-driven model across ten major salt-producing provinces using 2024/2025 field surveys and 30-meter resolution spatial data.The workflow integrates Geographic Information System (GIS)-based Multi-Criteria Decision Analysis (MCDA), binary logistic regression, and system dynamics (SDs) modeling.Results from the GIS-Analytical Hierarchy Process (AHP) analysis identified 15,500 hectares of highly suitable (S1) land for cluster expansion.Comparative evaluations showed that adopting geomembrane technology significantly increased real productivity from 65.8 to 105.3 tons per hectare per season (95% CI: 33.4-45.6;Cohen's d = 2.18; p < 0.001).Furthermore, logistic regression revealed that cooperative membership is the primary determinant of technology adoption, increasing the likelihood more than fourfold (Odds Ratios (OR) = 4.482).Other significant factors included education level and access to extension services.Finally, SDs simulations projected long-term economic impacts up to the 2035 horizon, predicting a 60% to 75% increase in net farmer income.This scalable framework successfully bridges spatial planning and socio-institutional interventions, providing a robust tool for evidence-based policymaking in developing maritime economies.
Language: English
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Awards: G2511519799, G324141445, G750822545
OpenAlex ID: W7204498376