DATA BASED DEVELOPMENT PLANNING: BIG DATA INNOVATION AND GEOSPATIAL INFORMATION SYSTEMS
Keywords:
data-driven development planning, big data, geospatial information systems, evidence based planning, geo-analytic planningAbstract
Data-driven development planning is an important paradigm in realizing more accurate and accountable development governance. The development of big data and Geographic Information Systems (GIS) provides a great opportunity to improve the effectiveness of planning at the national and regional levels. This study aims to analyze the integration of big data and GIS in strengthening data-driven planning in Indonesia. Using qualitative methods through literature studies, this research examines scientific literature and government policies related to digital planning innovation. The results show that the collaboration between big data and GIS can encourage more adaptive, transparent, and sustainable planning through improved analysis, demand prediction, and spatial visualization. These findings provide theoretical contributions as well as practical recommendations for strengthening technology-based development governance.
References
Bappenas. (2022). 2022 One Data Indonesia Implementation Report. Ministry of National Development Planning/National Development Planning Agency.Bibri, S. E. (2021). Data-Driven Smart Sustainable Cities of the Future: The Untapped Potential of Big Data Analytics and Context-Aware Computing for Advancing Sustainability. Springer.
Cao, L. (2024). Spatial Optimization in Urban and Regional Planning: Integrating GIS and Machine Learning Approaches. Elsevier.
Dritsas, S. (2025). Decision Support Systems and Geospatial Analytics for Policy Planning. Routledge.
Fitriani, N., Pratama, D., & Lestari, M. (2022). Integration of Spatial and Sectoral Data in Regional Planning: A Study of the Implementation of the One Data Policy. Indonesian Journal of Public Administration, 9(2), 134–150.Liu, H., & Cao, X. (2022). Socio-Technical Systems and Digital
Transformation in Public Policy: A Conceptual Framework. Government Information Quarterly, 39(4), 101–112.
Mete, O. (2023). Big Data Analytics for Infrastructure and Spatial Planning: A Review of Smart Governance Practices. Journal of Urban Management, 12(1), 1–14.
Nutley, S., Walter, I., & Davies, H. (2021). Using Evidence: How Research Can Inform Public Services. Policy Press.
Prasetyo, A., & Nugroho, B. (2023). Synergy of Big Data and Geospatial Information Systems in Regional Development Planning. Journal of Information Technology and Development, 5(1), 45–58.
Putra, R., & Rahmawati, D. (2021). Analysis of the Application of Big Data Analytics in the Efficiency of National Development Planning. Journal of Indonesian Development Planning, 5(3), 212–225.Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Free Press.
Sugiyono. (2022). Metode Penelitian Kualitatif, Kuantitatif, dan R&D (2nd ed.). Alfabeta.
Tornatzky, L. G., & Fleischer, M. (1990). The Processes of Technological Innovation. Lexington Books.
Wu, J. (2022). Smart Planning: Integrating Big Data and Digital Technologies in Urban Policy. Springer Nature.
Yu, T., Zhang, L., & Chen, X. (2023). Applications of GIS and Big Data Analytics for Smart Urban Governance. International Journal of Geographical Information Science, 37(2), 185–204.
BPS. (2023). Statistics Indonesia 2023. Central Statistics Agency.
United Nations. (2020). The Sustainable Development Goals Report 2020. United Nations Publications.
OECD. (2022). Evidence-Informed Policy Making in the Digital Age: Data Governance for Better Outcomes. OECD Publishing.
