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All Journal International Journal of Social Science and Community Service
Gilang Perdana Ramadhany
Universitas Indonesia, Depok, Indonesia
Arts Humanities Environmental Science

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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; Riska Sri Handayani; Ahmad Ibrahim Badry
International Journal of Social Science and Community Service Vol. 4 No. 1 (2026): January
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70865/ijsscs.v4i1.116

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.
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; Riska Sri Handayani; Ahmad Ibrahim Badry
International Journal of Social Science and Community Service Vol. 4 No. 1
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Co-Authors Ahmad Ibrahim Badry Riska Sri Handayani