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p-Index From 2021 - 2026
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All Journal Journal of Computer Science Advancements Journal of Social Science Utilizing Technology
James Firman Gohan Siagian
Politeknik Angkatan Laut
Computer Science & IT

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ANALYSIS OF ARTIFICIAL INTELLIGENCE-BASED FLIGHT RISK ASSESSMENT AS A DECISION SUPPORT SYSTEM FOR ENHANCING NAVAL AVIATION SAFETY Arif Heri Nugroho; James Firman Gohan Siagian; Raka Dwi Audrus
Journal of Computer Science Advancements Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i4.4420

Abstract

Naval aviation safety requires reliable assessment of interacting environmental, technical, human, and organizational risks that may not be adequately represented through conventional methods. This study aimed to analyze an artificial intelligence-based flight risk assessment model as a decision support system for enhancing naval aviation safety while preserving professional human judgment. A mixed-methods case study design was employed using 240 non-sensitive historical flight-safety records and questionnaire responses from 30 aviation personnel. The analysis combined machine-learning classification, descriptive statistics, inferential testing, semi-structured interviews, and triangulation. The results showed strong predictive performance, with 91.7% accuracy, 89.8% precision, 87.6% recall, 88.7% F1-score, and 0.93 ROC-AUC. AI-generated risk scores were strongly associated with established risk categories (r = 0.81, p < 0.001), while environmental conditions represented the strongest predictive factor. User assessments indicated high perceived usefulness and interpretability, although decision-support confidence was comparatively lower. The study concludes that artificial intelligence can strengthen naval aviation safety by integrating complex risk information and supporting evidence-based assessment. Effective implementation requires explainability, data quality, continuous validation, human oversight, and institutional governance to ensure that AI complements rather than replaces qualified aviation professionals. The findings support a human-centered safety architecture in which algorithmic outputs remain advisory, transparent, and contextually evaluated.
Strengthening Underwater Security in ALKI II: Integrating Technology-Based Maritime Control Capabilities from a National Defense Perspective Yusuf Nur Arifin; James Firman Gohan Siagian; Supriadi Supriadi
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.v4i4.4419

Abstract

Background. The expansion of subsea infrastructure in ALKI II introduces complex security threats, demanding a strong synergy between advanced technology and institutional capabilities to maintain maritime domain awareness. Purpose. This study investigates how technology-based control capabilities support underwater security and identifies the key organizational factors that determine their success from a defense perspective. Method. Employing a qualitative case study design, data were gathered through semi-structured interviews with 30 key stakeholders, document analysis, and field observations, then analyzed using thematic coding and exploratory inferential analysis. Results. Technology-driven capabilities significantly boosted situational awareness and institutional decision-making. High technological readiness strongly correlated with overall security effectiveness (r = 0.74, p < 0.001), with organizational readiness and staff competence serving as critical supporting drivers. Conclusion. Technology alone is insufficient; sustainable underwater defense requires combining high-tech systems with skilled personnel, interoperable networks, sound governance, and cohesive interagency coordination.
Co-Authors Arif Heri Nugroho Raka Dwi Audrus Supriadi Supriadi Yusuf Nur Arifin