Spatial Analysis and AI Integration in Land Procurement Policies for Sustainable National Strategic Projects: Insights from PSN Cases in Central Java

Mohammad Saleh, Zukruf Novandaya

Abstract


This study investigates the application of spatial analysis and AI in the implementation of National Strategic Projects (PSN) in Indonesia, focusing on the impact of using these tools in reducing social, economic, and environmental conflicts associated with PSN development. The analysis examines the PSN land location determination process, investigates the role of spatial utilization analysis and AI in this process, and assesses the impact of using spatial analysis and AI in PSN implementation. The findings indicate that 33.33% of the Land Acquisition Planning Document (DPPT) processes employ spatial analysis and AI, primarily in estimating land value and location credentials. This suggests that the integration of spatial analysis and AI is becoming increasingly important in the land acquisition process for PSN. Additionally, the study reveals that the perception of using spatial analysis and AI to reduce conflict with the community, reduce stakeholder conflicts of interest, enhance PSN financing efficiency, and optimize PSN operational efficiency is high, reaching a score of 7.20. The study concludes that the integration of spatial analysis and AI in PSN implementation can significantly reduce conflicts associated with the projects. This is achieved by providing a logical framework that scientifically reduces conflicts through the application of spatial analysis and AI in estimating land value and location credentials. The study recommends that the Indonesian government and other stakeholders involved in PSN development should prioritize the integration of spatial analysis and AI in their planning and implementation processes to ensure more efficient and sustainable project outcomes.


Keywords


National Strategic Projects; Spatial Analysis; Sustainable Development.

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