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This study aims to analyze the influence of maritime competence, maritime safety management, and maritime regulations on maritime safety in Indonesia. The approach used in this literature review is descriptive qualitative. Data collection techniques include literature studies or reviews of relevant previous articles published between 2021 and 2026. The technique used in this literature review is Comparative Analysis. The data used in this descriptive qualitative approach comes from previous research relevant to this study and is sourced from academic online media such as Thomson Reuters Journal, Springer, Taylor & Francis, Scopus Q2-Q4 Emerald, Elsevier, Sage, Web of Science, Sinta Journal 2-5, DOAJ, EBSCO, Google Scholar, Copernicus, and digital reference books. The results of the study indicate that: 1) Maritime competence influences maritime safety in Indonesia; 2) Maritime safety management influences maritime safety in Indonesia; and 3) Maritime regulations influence maritime safety in Indonesia. The study concludes that a combined approach to enhancing maritime competence, management practices, and regulatory frameworks is critical in improving maritime safety in the region.

This study aims to analyze the influence of port infrastructure, logistics connectivity, and fleet capacity on the performance of sea tolls in Indonesia. The approach used in this literature review study is descriptive qualitative. The data collection technique used is a literature study or review of relevant previous articles published between 2021 and 2026. The technique used in this literature review is comparative analysis. The data used in this descriptive qualitative approach came from previous studies relevant to this study and sourced from academic online media such as Thomson Reuters Journal, Springer, Taylor & Francis, Scopus Q2-Q4 Emerald, Elsevier, Sage, Web of Science, Sinta 2-5 Journal, DOAJ, EBSCO, Google Scholar, Copernicus, and digital reference books. The results of the study show that: 1) Port infrastructure affects sea toll performance; 2) Logistics connectivity affects sea toll performance; 3) Fleet capacity affects sea toll performance.

Background: Islamic inheritance law represents a critical component of family law systems that extends beyond religious obligations to encompass significant socio-economic implications for asset distribution and intergenerational justice. While Malaysia and Brunei Darussalam have both incorporated Islamic law into their national legal frameworks, their implementation approaches demonstrate fundamental structural and procedural differences that warrant systematic comparative analysis. Objective: This study examines the institutional frameworks and implementation effectiveness of Islamic inheritance law systems in Malaysia and Brunei Darussalam, analyzing how constitutional arrangements and governmental approaches influence the practical application of faraid principles. Methods: This research employs a normative legal methodology utilizing comparative analysis of legal frameworks, institutional structures, and judicial decisions. The study analyzes primary legal sources including constitutional provisions, statutory laws, court decisions, and administrative guidelines from both jurisdictions. Data collection encompassed library research examining fiqh literature, national legislation, official documents, scholarly articles, and religious legal opinions. Theoretical frameworks of legal pluralism (Romano-Gierke), Maqasid al-Shariah, and Hartian legal positivism provide analytical foundations for institutional effectiveness assessment. Results: Malaysia's dual legal system creates jurisdictional tensions between Syariah and civil courts, particularly regarding immovable property administration, resulting in administrative complexity and legal uncertainty that undermines Islamic law effectiveness. Conversely, Brunei's centralized Islamic legal framework demonstrates superior institutional coherence through exclusive Syariah court jurisdiction, enabling direct faraid implementation without inter-court conflicts. The study reveals that approximately RM42 billion in Muslim inheritance remains undistributed in Malaysia due to systematic administrative failures, while Brunei's unified approach achieves greater legal certainty and administrative efficiency. Conclusions: Institutional structures fundamentally determine Islamic inheritance law implementation effectiveness in contemporary Muslim societies. Successful Islamic law implementation requires comprehensive institutional support aligning legal structures with religious objectives rather than mere constitutional recognition. Malaysia's fragmented system inadvertently undermines Islamic law's divine authority through secular intervention, while Brunei's unified approach enhances religious legitimacy and community compliance.

The maritime industry is undergoing rapid transformation, requiring systematic, evidence-based methodologies to improve product and service innovation success rates. Traditionally, maritime businesses have relied on intuition-based decision-making, leading to inefficiencies, increased risks, and inconsistent innovation outcomes. This study investigates the role of structured scientific methodologies in maritime innovation management, emphasizing how systematic approaches enhance decision accuracy, minimize risk, and improve long-term sustainability. This research provides original value by evaluating the effectiveness of structured scientific approaches in maritime innovation, an area where limited studies have explored the intersection of philosophy, leadership, and evidence-based decision-making. The study addresses the following research questions: To what extent do structure scientific methodologies improve product and service innovation success? How do industry leaders, lecturers, and students perceive the role of evidence-based decision-making in innovation? Using qualitative research methods, the study collected data from maritime experts, lecturers, and postgraduate students through semi-structured interviews and document analysis, followed by thematic and comparative analysis. Results indicate that structured methodologies significantly improve innovation outcomes, but barriers such as industry reluctance and lack of competency development hinder adoption. The study concludes that integrating scientific reasoning into maritime leadership training can enhance innovation success, mitigate risk, and foster a culture of evidence-based strategic management.

This study examines the impact of international human rights law on national judicial systems through a comparative analysis. The research aims to explore how international human rights norms influence domestic court decisions and the extent to which national judicial systems incorporate these norms into their legal frameworks. Using a qualitative comparative approach, this study analyzes judicial decisions from multiple countries with varying legal traditions. The findings reveal significant differences in the reception and application of international human rights law, influenced by historical, cultural, and political contexts. The study concludes that while some judicial systems demonstrate a strong commitment to integrating international human rights norms, others show resistance due to sovereignty concerns or differing legal philosophies. These findings highlight the complex relationship between international human rights law and national judicial practices, offering insights for policymakers, legal practitioners, and human rights advocates to enhance the effectiveness of human rights protections globally.

This paper compares various machine learning models in their ability to predict financial trends, with a focus on time-series analysis. We evaluate models such as linear regression, decision trees, support vector machines, and deep learning, measuring their performance based on accuracy, computational cost, and interpretability. Our results reveal that deep learning models offer superior accuracy but are less interpretable, while simpler models, though less accurate, provide better insight into the underlying data. This research provides guidelines for selecting suitable models based on specific financial applications.