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All Journal Journal of Computer Science Advancements Journal of Social Science Utilizing Technology
I Gusti Ketut Hans Desember
Politeknik Angkatan Laut
Computer Science & IT

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Big Data Analytics and AI-Driven Maritime Intelligence: Transforming Public Policy for Hybrid Threat Mitigation in the North Natuna Sea Dinar Jati Kusuma; Rudy Sokabla; I Gusti Ketut Hans Desember
Journal of Social Science Utilizing Technology Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i4.4536

Abstract

Background. The North Natuna Sea faces overlapping maritime security challenges involving contested activities, fragmented surveillance information, and emerging hybrid threats. These conditions demand timely intelligence and coordinated public policy without compromising legal accountability. Purpose. This study aims to examine how big data analytics and artificial intelligence can support maritime intelligence integration and inform responsive policies for hybrid threat mitigation. Method. A mixed-methods research framework is proposed, combining policy document analysis, stakeholder interviews, and quantitative evaluation of anonymized maritime surveillance indicators. The analytical approach integrates data quality assessment, predictive modeling, and thematic analysis to evaluate institutional coordination, decision support, and governance safeguards. Results. The proposed framework identifies potential benefits in detecting anomalous maritime patterns, improving information sharing, and prioritizing policy responses. However, its anticipated constraints include data fragmentation, algorithmic uncertainty, institutional interoperability, and risks to transparency and privacy. (Note: These propositions remain unverified until empirical analysis is completed). Conclusion. The study concludes that AI-enabled maritime intelligence should complement, rather than replace, human judgment and established legal procedures. Effective adoption requires interoperable data standards, accountable oversight, rigorous model validation, and sustained interagency collaboration. The framework offers a testable basis for strengthening evidence-informed maritime governance while avoiding unsupported claims about operational effectiveness or threat reduction in the North Natuna Sea.
REQUIREMENT ANALYSIS AND ARCHITECTURAL DESIGN OF AN INTEGRATED DECISION SUPPORT INFORMATION SYSTEM FOR TECHNICAL CONSULTANTS IN INDONESIAN NAVY (TNI AL) SUBMARINE CONSTRUCTION OVERSIGHT Febri Ichsani; Yulis Andreas Lorentius; I Gusti Ketut Hans Desember
Journal of Computer Science Advancements Vol. 4 No. 5 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i5.4535

Abstract

Submarine construction oversight requires coordinated documentation, accountable decisions, and timely communication, yet fragmented information systems often complicate quality assurance and governance in complex naval programs. To address this, the study formulates functional and nonfunctional requirements to propose an integrated decision support information system architecture for technical consultants supporting Indonesian Navy submarine construction oversight. Using a qualitative, design-oriented approach combining stakeholder interviews, document analysis, workflow mapping, and requirements prioritization, the architectural modeling examines user roles, information flows, access controls, interoperability, and auditability based on systems engineering principles. The resulting design is a modular platform integrating document management, requirements traceability, inspection reporting, issue tracking, and decision records within a secure governance framework, evaluated on usability, traceability, consistency, accountability, and security compliance. The study concludes that this human-centered architecture can enhance coordination and transparency without replacing professional engineering judgment, while recommending future research to validate requirements, test prototypes, and quantify administrative and decision-making improvements while safeguarding sensitive technical data
Co-Authors Dinar Jati Kusuma Febri Ichsani Rudy Sokabla Yulis Andreas Lorentius