Rahman, Adinda Ridya and Maghfiroh, Lailatul and Ikhsan, Muhammad Fatkhul and Efendi, Nur (2026) DATA-DRIVEN SPATIAL MAPPING FOR DIGITAL ECONOMY-ORIENTED SMART VILLAGE GOVERNANCE AND LOCAL ECONOMIC DEVELOPMENT: EVIDENCE FROM MARTOPURO. Journal of Artificial Intelligence and Digital Economy, 3 (8). ISSN 3032-1077

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Abstract

Objective: This study aims to develop a spatial information base for Martopuro Village, Purwosari District, Pasuruan Regency, and to examine how GIS-based digital spatial data can support smart village governance and data-driven local economic decision-making. Method: A descriptive qualitative approach was combined with simple descriptive quantification. Data were obtained through coordination with village officials, field observation, facility coordinate recording using Google Maps, photographic documentation, and spatial data processing. Facility points were integrated with thematic layers and interpreted in relation to economic accessibility, local-business potential, production-distribution connectivity, resource planning, and development priorities. Results: The mapping produced 20 georeferenced facility points and six supporting thematic layers comprising administrative boundaries, roads, rivers, settlements, agricultural land, and shrubs. The mapped points consist of governance facilities (35%), health facilities (30%), education facilities (25%), religious/social facilities (5%), and a tourism asset (5%). The integration of D’Embung, agricultural land, road networks, settlements, and other spatial layers provides an information base for tourism accessibility analysis, potential local-business locations, land-use prioritization, production-distribution connectivity, resource planning, and evidence-based economic decisions. Novelty: The study repositions village mapping from a static cartographic product into a digital spatial data infrastructure for local economic decision support. Rather than claiming direct economic impacts, it demonstrates a data-value chain in which local observations are converted into georeferenced data that can be updated, integrated, analyzed, and expanded for subsequent village economic development planning.

Item Type:	Article
Uncontrolled Keywords:	Data-driven spatial mapping, Digital economy, Data-driven economic decision-making, Local economic development, Geographic information system, Smart village governance
Subjects:	H Social Sciences
Depositing User:	admin eprints
Date Deposited:	05 Nov 2026 08:23
Last Modified:	05 Nov 2026 08:23
URI:	http://eprints.umsida.ac.id/id/eprint/17477

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