Analysis of the Utilization of the Case Management System Model at the Intelligence Directorate of the Densus 88 Anti-Terror Unit, Indonesian National Police

  • Gilang Perdana Ramadhany* Universitas Indonesia, Depok, Indonesia , Indonesia
  • Riska Sri Handayani Universitas Indonesia, Depok, Indonesia , Indonesia
  • Ahmad Ibrahim Badry Universitas Indonesia, Depok, Indonesia , Indonesia

Abstract

Integrated data management has become critical for intelligence analysis, particularly in terrorism-related crime handling. The Intelligence Directorate of Detachment 88 AT Polri faces significant challenges managing case data from multiple units and information sources. This study analyzes the utilization of a Case Management System (CMS) model in supporting intelligence analysis activities at Detachment 88. A qualitative approach was employed through in-depth interviews with key informants (Director of Intelligence, Head of Sub-Directorate of Analysis, and intelligence analysts) and document analysis of internal reports and national policies conducted during 2020-2023. Findings indicate that integrated CMS implementation positively impacts analysis speed, information accuracy, and cross-unit coordination. However, limitations persist including partial data integration due to format differences, reliance on manual verification processes, slow processing of large-volume data from social media and CCTV, and network infrastructure constraints in operational areas. System interoperability plays a crucial role in supporting timely and precise intelligence decision-making. The study identifies three critical pillars for CMS effectiveness: multi-source data integration, adaptation to evolving terrorism methods utilizing digital technology, and robust data security mechanisms including encryption and role-based access controls. CMS must evolve from a data repository to an AI-enabled analytical platform with automated data fusion, modular architecture, and layered security protocols to effectively counter dynamic terrorism threats while maintaining strict confidentiality standards.

Keywords: Case Management System, Data Integration, Densus 88, Intelligence Analysis

References

Afzal, M., & Panagiotopoulos, P. (2025). Data in policing: An integrative review. International Journal of Public Administration, 48(7), 411–430.

Bartlett, J., & Reynolds, L. (2015). The State of the Art 2015: a literature review of social media intelligence capabilities for counter-terrorism. Demos London.

Brayne, S. (2021). Predict and surveil: Data, discretion, and the future of policing. Oxford University Press.

Heizer, J., Render, B., & Munson, C. (2020). Operations management: Sustainability and supply chain management. Pearson.

Hompel, M. Ten, & Schmidt, T. (2007). Warehouse management: Automation and organisation of warehouse and order picking systems. Springer.

Ikhssani, A., Mudra, C., & Prasidya, F. G. (2024). Cybersecurity dan Tata Kelola Intelijen. Jurnal Kajian Stratejik Ketahanan Nasional, 7(1), 1–10. https://doi.org/10.7454/jkskn.v7i1.10086

Kaufmann, M. (2024). AI in policing and law enforcement. In Handbook on Public Policy and Artificial Intelligence (pp. 295–306). Edward Elgar Publishing.

Laudon, K. C., Laudon, J. P., & Traver, C. G. (2021). Essentials of Management Information Systems Fouteenth Edition Global Edition. Pearson.

Laufersweiler?Dwyer, D. L., & Dwyer, R. G. (2000). Profiling those impacted by organizational stressors at the macro, intermediate and micro levels of several police agencies. Criminal Justice Studies, 12(4), 443–469.

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Newberry Park.

Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. sage.

Murthy, J. S., & Siddesh, G. M. (2023). AI Based Criminal Detection and Recognition System for Public Safety and Security using novel CriminalNet-228. International Conference on Frontiers in Computing and Systems, 3–20.

Neiva, L., Machado, H., & Silva, S. (2023). The views about Big Data among professionals of police forces: A scoping review of empirical studies. International Journal of Police Science & Management, 25(2), 208–220. https://doi.org/10.1177/14613557231166225

Partridge, J., & Zaghloul, F. (2025). Policing the data: Can data analytics help law enforcement? Journal of Information Technology Teaching Cases, 15(1), 90–94. https://doi.org/10.1177/20438869231212214

Porter, M. E. (2011). Competitive advantage of nations: creating and sustaining superior performance. simon and schuster.

Ratcliffe, J. (2005). The Effectiveness of Police Intelligence Management: A New Zealand Case Study. Police Practice and Research, 6(5), 435–451. https://doi.org/10.1080/15614260500433038

Russell, R. S., & Taylor, B. W. (2009). Operations Management: Along the Supply Chain. Wiley.

Sorokina, A. V, & Epishkin, I. A. (2016). Management by Objectives and Motivation for Strategy Implementation. World of Transport and Transportation, 14(3), 262–269.

Sridevi, K. B. (2021). Filling the quality gaps for a futuristic management education. Journal of Economic and Administrative Sciences, 37(4), 393–400. https://doi.org/10.1108/JEAS-09-2018-0097

Yin, R. K. (2018). Case study research and applications. Sage Thousand Oaks, CA.

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