Ahmad Faisol
Politeknik Angkatan Laut

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SYSTEMATIC REVIEW OF THE UTILIZATION OF ARTIFICIAL INTELLIGENCE IN FORENSIC DENTISTRY AS A ROLE MODEL FOR IMPLEMENTATION AT RSAL DR MINTOHARDJO Fredy Budhi Dharmawan; Yun Mukmin Akbar; Mohammad Ali Nugroho; Ahmad Faisol
Journal of Computer Science Advancements Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i2.3615

Abstract

Forensic odontology plays a critical role in human identification, yet conventional methods remain time-consuming, subjective, and limited in handling large-scale data, particularly in disaster and military contexts. This study aims to systematically review the utilization of artificial intelligence in forensic odontology and to develop a contextual role model for implementation at RSAL dr Mintohardjo. A systematic review design was employed by analyzing peer-reviewed articles from major databases published between 2014 and 2025 using predefined inclusion criteria and thematic synthesis. Findings indicate that artificial intelligence, especially deep learning models, significantly improves accuracy, efficiency, and scalability in dental identification, age estimation, and bite mark analysis, with performance often exceeding ninety percent under controlled conditions. Results further reveal that successful implementation depends on data quality, interdisciplinary collaboration, and institutional readiness, while challenges include ethical concerns, data limitations, and lack of standardized protocols. The study concludes that artificial intelligence has strong potential to transform forensic odontology practices and can serve as a strategic role model for institutional adoption, provided that technological integration is aligned with infrastructure, human resources, and governance frameworks. Implications extend to policy development, capacity building, and future research directions emphasizing real-world validation and sustainable implementation strategies in complex healthcare environments globally
COMMUNITY-BASED TERRITORIAL DEFENSE: STRENGTHENING CIVIL PARTICIPATION IN SAFEGUARDING NATIONAL SECURITY IN BORDER AREAS Agung Wahyu Nurkoco; Rudi Sokabla; Jakfar Rosi; Ahmad Faisol
Cognitionis Civitatis et Politicae Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v3i2.3636

Abstract

Border areas face increasingly complex security challenges that cannot be effectively addressed through state-centric approaches alone, highlighting the need for inclusive strategies that incorporate local communities. Civil participation plays a critical role in enhancing situational awareness, early threat detection, and collaborative security practices. This study aims to examine the role of community-based territorial defense in strengthening civil participation and improving national security outcomes in border areas. A mixed-methods design was employed, combining quantitative survey data from 200 border residents with qualitative insights from community leaders and security personnel. Data were analyzed using descriptive and inferential statistics alongside thematic analysis to capture both measurable trends and contextual dynamics. Findings indicate that active community participation significantly correlates with improved perceived security, reduced localized threats, and enhanced coordination with security institutions. Institutional trust and access to training emerge as key predictors of participation, while social cohesion strengthens sustained engagement. The study concludes that community-based territorial defense provides an effective and context-sensitive framework for enhancing national security by integrating local knowledge, institutional support, and participatory governance. Sustainable implementation requires structured programs, trust-building mechanisms, and alignment with socio-cultural conditions in border regions.