Trust is a key attribute of social cohesion that is a major phenomenon in social relationships. This research aims to trust levels in social relationships and understand how social relationships affect trust levels. This research uses the theory of social relationships as an understanding of the level of trust in modern organizations, the theory of trust based on three dimensions namely trust in information, motives, and competence. Statistical descriptive qualitative research method is used as an approach supported by Delphi analysis, Analytical Hierarchy Process (AHP), and TOPSIS (Technique for Others Preference by Similarity to Ideal Solution). In identifying factors in the social relationship between policy and community, nine social relationship factors were obtained, including Communication (A1); Trust (A2); Cultural (A3); Procedural Justice (A4); Problem-Solving (A5); Transparency (A6); Engagement (A7); Collaboration (A8); Empowerment (A9). On the one hand, in the context of relative importance, the weight value at the criteria level is trust in Information (C1) (19.8%); Trust in Motives (C2) (31.2%); Trust in Competence (C3) (49%). Based on the results of the 3D trust level-based mapping analysis on social relationships, of the nine alternatives there are no factors with complete level (level 5) and Ignorance (Level 1). Overall, there are two alternative social relationship factors with high trust level (level 4), namely Trust (A2) and Collaboration (A8). These findings suggest that social relationship factors, such as trust (A2) and Collaboration (A8), play an important role in increasing the trust value of institutions related to trust from the community.

Emerging maritime cyber threats put Indonesia's marine technology-based systems at risk This study aims to determine the dimensions and analysis of risk assessment in maritime cyber security based on 3D models in the Indonesian sea area. A statistical descriptive qualitative method approach supported by the Analytical Hierarchy Process (AHP) and Technique for Order by Similarity to Ideal Solution (TOPSIS) methods were used in this study. Risk analysis in maritime cybersecurity has 3 (three) main criteria: Threat, Vulnerability, and consequence. Based on the results of 3D risk analysis, the six dimensions of MCS are identified as having a level of risk at Very Low and Low Risk. The highest risk value is obtained by the dimension of Cyber security-related company procedures (D2) (0.368) and the lowest risk value is Ship's systems readiness (D3) (0.048).

The dynamics of the conflict in the South China Sea (SCS) have begun to enter a new chapter. Currently, the South China Sea (SCS) is a flashpoint in the Asia Pacific region. This study aims to provide an analysis of the concept of the Revolution in Military Affairs (RMA) strategy by the Indonesian Armed Forces (TNI) toward Competitive Advantage in the South China Sea region. This study employed an analytical approach with a qualitative sequence exploratory method supported by some quantitative data. PEST (Political, Economy, Socio-cultural, Technology) analysis and SWOT analysis methods were used to support the study. Furthermore, this study also utilized an Analytical Hierarchy Process (AHP) method approach to provide strategic value and sensitivity analysis as a strategy scenario analysis toward competitive advantage. Based on the results of the research analysis, a strategy under the development of Indonesian Armed Forces capabilities towards a competitive advantage in the South China Sea was obtained, namely the WO strategy which consists of 6 substrate aspects with eight subfactors, namely the combination of all components and strengths in handling security disturbances in the South China Sea (0.162), increased competence of human resources (0.159); development of integrated defense forces and capabilities (0.147), protection of information systems and state secrets (0.145), development of defense facilities and infrastructure (0.109), increasing the capacity and capability of modernizing intelligence technology (0.093), utilization and capacity building of the national defense industry (0.089), deployment of Indonesian Armed Forces troops in the South China Sea (0.075). This study is expected to contribute to the strategy for handling conflicts in the South China Sea and provide strategic steps in increasing capabilities on competitive advantage.