Journal of Social Science Utilizing Technology

Development of Underwater Technology in Supporting the Transformation of the Indonesian Navy’s Capabilities Based on System-Oriented Undersea Warfare

2026-04-20T23:02:15+07:00

Background. The Indonesian Navy faces significant challenges in securing its vast maritime territory, requiring the integration of modern underwater technologies. While naval warfare increasingly relies on advanced systems, infrastructure limitations currently hinder the shift toward a cohesive, system-oriented undersea defense framework.

Purpose. This study explores how underwater technology development can transform the Indonesian Navy’s strategic capabilities. It evaluates the potential of various assets to enhance operational effectiveness and aims to provide a modernization roadmap for the nation's maritime defense.

Method. Using a mixed-methods design, the research combines quantitative surveys and qualitative case studies. This approach assesses the technical performance and organizational readiness of specific assets, including submarines, sonar systems, and unmanned underwater vehicles (UUVs).

Results. Findings show that while submarines and sonar are well-integrated, UUVs face major operational hurdles due to technical gaps and poor system synergy. This suggests that technological innovation must be supported by a unified framework and specialized personnel training.

Conclusion. Successful transformation depends on overcoming integration challenges and effectively deploying UUVs alongside traditional assets. The research recommends a balanced focus on both technological advancement and human resource development to ensure a secure and unified maritime future.

Architecting Technological Resilience: Evaluating the Impact of Legacy System Modernization on Organizational Agility in the Age of Generative AI

2026-04-20T17:25:58+07:00

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.