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All Journal Journal of Computer Science Advancements Journal of Moeslim Research Technik Cognitionis Civitatis et Politicae Journal of Multidisciplinary Sustainability Asean Journal of World Future Medicine, Health and Nursing Pengabdian: Jurnal Abdimas Rechtsnormen: Journal of Law Journal of Social Science Utilizing Technology
Ahmad Faisol
Politeknik Angkatan Laut
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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 1 
COST OPTIMIZATION OF JETTY RETROFIT USING VALUE ENGINEERING AND LIFE CYCLE COST ANALYSIS Ato Muhan Iswidyantara; Bagus Jatmiko; Rina Marlina; Ahmad Faisol; Sultan Al Fahad
Journal of Moeslim Research Technik Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i2.3750

Abstract

The increasing demand for sustainable infrastructure has led to a focus on cost optimization in retrofit projects, particularly in maritime infrastructure such as jetties. Sustainable development aims to balance economic growth, environmental protection, and social welfare, highlighting the need for efficient resource utilization. Jetty retrofit projects, crucial for port operations, often face high construction and maintenance costs. This study aims to evaluate the effectiveness of Value Engineering (VE) and Life Cycle Cost Analysis (LCCA) in optimizing the costs of jetty retrofit projects while ensuring long-term sustainability. A mixed-method research design was employed, combining quantitative data from questionnaires and statistical analysis with qualitative insights from field observations and interviews. The study found that integrating VE significantly reduced operational costs, particularly through the substitution of conventional energy systems with renewable energy sources such as solar panels. The application of LCCA demonstrated that long-term savings from energy efficiency could offset higher initial investments. The findings show that the use of VE and LCCA together can achieve cost savings of up to 5.21% and enhance financial viability, with a Benefit-Cost Ratio (BCR) of 2.20, Net Present Value (NPV) of IDR 40.40 billion, and an Internal Rate of Return (IRR) of 46.93%. These results underline the financial and environmental feasibility of green retrofit projects. This research contributes to sustainable infrastructure practices by highlighting cost-effective strategies for jetty retrofitting.
COMMUNITY-BASED TERRITORIAL DEFENSE: STRENGTHENING CIVIL PARTICIPATION IN SAFEGUARDING NATIONAL SECURITY IN BORDER AREAS Agung Wahyu Nurkoco; Rudi Sokabla; Jakfar Rosi; Ahmad Faisol; Raul Gomez
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.
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; Rithy Vann
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
Kodaeral v Surabaya to Achieve Food Security in Support of the Indonesian Navy’s Duties Eko Sulistyo Hadi; Hendrik Kurniawan; Ado Andika; Ahmad Faisol; Maha Al Nasser
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i2.3694

Abstract

Background. Food security is a critical issue in Indonesia, where the Navy possesses logistical infrastructure suitable for distribution but faces significant legal and institutional barriers. The Kodaeral v Surabaya case exemplifies legal ambiguities that limit the Navy’s involvement in non-traditional security sectors. Purpose. This study aims to analyze how existing legal frameworks can be restructured to formalize and integrate the Indonesian Navy’s role into the national food security strategy, especially during emergencies. Method. A qualitative approach was employed, combining the legal analysis of court rulings and policy documents with interviews with defense and food security experts. Results. The findings indicate that the absence of a formal legal mandate limits the Navy’s operational capacity in food security operations, despite its established logistical capabilities. Conclusion. Legal reforms are necessary to integrate the Navy into national resilience strategies, enabling a comprehensive approach that enhances their contribution to national welfare.
INTEGRATING ARTIFICIAL INTELLIGENCE–ASSISTED CLINICAL DECISION SUPPORT IN NURSING PRACTICE: IMPACTS ON PATIENT SAFETY AND CARE QUALITY IN SMART HEALTHCARE SYSTEMS Binamin Binamin; Budi Darmawan; Dewadharu Achsyan; Ahmad Faisol; Ahmed Al Kadhim
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i2.3622

Abstract

Artificial intelligence–assisted clinical decision support systems are increasingly integrated into smart healthcare environments, offering new opportunities to enhance patient safety and care quality while transforming nursing practice. Persistent challenges such as medical errors, delayed clinical responses, and variability in care highlight the need for effective decision support tools. This study aims to examine the impact of artificial intelligence-assisted systems on patient safety, care quality, and nursing decision-making processes. A mixed-methods design was employed, combining quantitative analysis of clinical indicators with qualitative insights from nurses across multiple hospital units. Data were collected from 120 nurses and corresponding patient records before and after system implementation, supported by surveys and interviews. Findings reveal significant reductions in medication errors and adverse events, alongside improvements in response time, care quality, and nurse decision confidence. Inferential analysis confirms that system usability and training significantly influence outcomes, while experience level moderates system effectiveness. The study concludes that artificial intelligence–assisted decision support enhances clinical performance by complementing nursing expertise and enabling data-driven decision-making. Effective integration depends on user readiness, organizational support, and alignment with clinical workflows, highlighting the need for human-centered implementation strategies in smart healthcare systems.
Inclusive Infrastructure: Assessing the Synergy Between Universal Design Facilities and Neurodiversity-Friendly Human Resource Management T.D Madingin Situmorang; Mohammad Ali Nugroho Ali Nugroho; Rina Marlina; Ahmad Faisol; Faisal Razak
Pengabdian: Jurnal Abdimas Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v4i2.3685

Abstract

Background. Neurodiversity support requires inclusive workplaces combining physical Universal Design (UD) (e.g., sensory spaces) and neurodiversity-friendly HR practices (e.g., flexible schedules). However, the synergy between these infrastructure and procedural elements is largely underexplored. Purpose. This research assesses the combined impact of UD features and neurodiversity-sensitive HR practices on neurodiverse employees, workplace inclusivity, and related outcomes. Method. A mixed-methods approach using quantitative surveys and qualitative interviews was conducted across 25 organizations, involving both employees and HR managers. Results. Integrating both UD facilities and neurodiversity-friendly HR practices significantly boosted employee satisfaction, engagement, and performance. This combination proved more effective than either factor alone, demonstrating a clear synergistic effect. Conclusion. A holistic approach merging UD infrastructure and HR strategies is crucial for neurodiversity inclusion, enhancing employee well-being and productivity. These findings provide a framework for future research on workplace diversity
The Protection of Refugees and Stateless Persons: Challenges of International Human Rights Law in an Era of Global Migration Crisis Kasman Yori Harefa; Supriadi Supriadi; Krisno Hadi Susanto; Ahmad Faisol; Rizal Musa Karim; Nodira Tursunova
Rechtsnormen: Journal of Law Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v4i2.3638

Abstract

Background.The global migration crisis has highlighted major gaps in protecting refugees and stateless persons, as conflict and inequality increase their vulnerability despite existing international human rights frameworks. Purpose. This study examines the effectiveness of international human rights law in addressing the specific protection needs of displaced and stateless populations within modern migration contexts. Method. A qualitative doctrinal and socio-legal approach was used, analyzing international legal instruments, comparative policy frameworks, and secondary data on protection outcomes. Results. While principles like non-refoulement are generally upheld, significant gaps remain in legal recognition and service access, with institutional capacity and international cooperation identified as critical success factors. Conclusion. International law is a necessary but insufficient framework; it requires stronger implementation, better accountability, and more inclusive global approaches to effectively protect vulnerable migrants.
Architecting Technological Resilience: Evaluating the Impact of Legacy System Modernization on Organizational Agility in the Age of Generative AI Azzuan Azzuan; Zubaidi Budi Hartanto; Moh. Qomar Syarifuddin; Ahmad Faisol; Syafiq Amir
Journal of Social Science Utilizing Technology Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i2.3680

Abstract

Background. Organizations are under immense pressure to modernize legacy systems to stay competitive in a fast-changing tech landscape. While Generative AI is recognized as a key driver for productivity and innovation, the specific link between upgrading old systems and achieving organizational agility in the AI era remains largely underexplored. Purpose. This study aims to evaluate how legacy system modernization impacts organizational agility within the context of Generative AI integration. It seeks to understand if these technical upgrades serve as a strategic foundation for fostering adaptability and long-term resilience. Method. The research utilized a mixed-methods approach, combining quantitative surveys and qualitative interviews. Data was gathered from key stakeholders across 30 organizations that have successfully completed the modernization of their legacy infrastructures. Results. The findings show significant improvements in decision-making speed, market responsiveness, and operational flexibility. The study highlights that modernization is a critical enabler for faster Generative AI adoption, which directly enhances an organization's overall agility. Conclusion. Modernizing legacy systems is a strategic investment rather than a mere technical necessity. It builds technological resilience and provides a vital framework for AI integration, offering organizations a pathway to sustained competitive advantage and better adaptability.
Co-Authors Ado Andika Agung Wahyu Nurkoco Ahmed Al Kadhim Ato Muhan Iswidyantara Azzuan Azzuan Bagus Jatmiko Binamin Binamin Budi Darmawan Dewadharu Achsyan Eko Sulistyo Hadi Faisal Razak Fredy Budhi Dharmawan Hendrik Kurniawan Jakfar Rosi Kasman Yori Harefa Krisno Hadi Susanto Maha Al Nasser Moh. Qomar Syarifuddin Mohammad Ali Nugroho Mohammad Ali Nugroho Ali Nugroho Nodira Tursunova Raul Gomez Rina Marlina Rithy Vann Rizal Musa Karim Rudi Sokabla Sultan Al Fahad Supriadi Supriadi Syafiq Amir T.D Madingin Situmorang Yun Mukmin Akbar Zubaidi Budi Hartanto