Intelligence Strategy Analysis for Security Enhancement at Immigration Checkpoints: A Case Study of Soekarno-Hatta Airport Autogate

The Soekarno-Hatta Airport played a strategic role as the main entry point for foreign nationals into Indonesia amidst increasing global mobility. The Autogate system was introduced to enhance efficiency and security at Immigration Checkpoints. However, challenges such as document misuse, lack of cross-sector data integration, and gaps in validation remain key concerns. This situation highlighted the importance of intelligence strategies in detecting and addressing security threats to support national stability. This research aimed to analyze intelligence strategies to enhance security at the Immigration Checkpoints of Soekarno-Hatta Airport through the implementation of the Autogate system. The study employed a descriptive-analytical qualitative method with a case study approach, using in-depth interviews, direct observation, and analysis of policy documents and scientific publications. The data were analyzed thematically to evaluate system weaknesses and the effectiveness of intelligence strategies. The research findings showed that intelligence strategies combining manual interviews with technology-based analysis proved effective in detecting potential security threats. However, several weaknesses were identified, including a lack of cross-sector data integration, gaps in document validation, and challenges in officer training. The study recommends strengthening inter-agency cooperation, advancing technology development, and restricting Autogate use for foreign nationals from high-risk countries to support national security more effectively.