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SHARIAH GOVERNANCE IN ISLAMIC BANKING: A STUDY ON THE CHALLENGES AND BEST PRACTICES IN INDONESIA Chak Sothy; Ravi Dara; Livia Alves
Sharia Oikonomia Law Journal Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/solj.v3i1.2078

Abstract

Shariah governance is a cornerstone of Islamic banking, ensuring compliance with Islamic principles and maintaining stakeholder trust. Indonesia, as a leading player in the global Islamic finance industry, faces unique challenges in implementing effective Shariah governance frameworks. This study examines the challenges and best practices in Shariah governance within Indonesia’s Islamic banking sector. The research aims to identify the key challenges in Shariah governance, analyze best practices, and provide recommendations for enhancing the effectiveness of Shariah governance frameworks in Indonesia’s Islamic banking sector. A mixed-methods approach is employed, combining document analysis of regulatory frameworks, case studies of leading Islamic banks, and in-depth interviews with Shariah scholars, regulators, and banking professionals. Data were analyzed using thematic analysis for qualitative insights and comparative analysis for quantitative data. The findings reveal that Indonesia’s Islamic banking sector faces challenges such as regulatory inconsistencies, limited expertise in Shariah governance, and weak enforcement mechanisms. However, best practices such as centralized Shariah boards, transparent reporting, and stakeholder engagement have been identified as effective strategies for enhancing Shariah governance. This study highlights the importance of addressing regulatory gaps, building capacity in Shariah governance, and adopting best practices to strengthen Indonesia’s Islamic banking sector. By improving
AI-Driven Personalized Learning Paths: Opportunities and Challenges for Inclusive Education Ardi Azhar Nampira; Chak Sothy; Sokha Dara
Journal Emerging Technologies in Education Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i2.3412

Abstract

Background. This study addresses the growing integration of artificial intelligence (AI) in education, particularly its potential to design personalized learning paths that respond to diverse learner needs within inclusive education contexts. Despite increasing adoption, critical questions remain regarding equity, accessibility, and pedagogical effectiveness when AI-driven systems are implemented across heterogeneous student populations Purpose. The primary objective of this research is to examine both the opportunities and challenges associated with AI-driven personalized learning paths in supporting inclusive education. Method. The study employs a mixed-methods approach, combining a systematic literature review with qualitative analysis of selected empirical case studies from primary, secondary, and higher education settings. Data were analyzed thematically to identify patterns related to personalization mechanisms, learner inclusion, ethical considerations, and institutional readiness. Results. The findings indicate that AI-driven personalization can enhance learner engagement, adaptive pacing, and differentiated instruction, particularly for students with diverse abilities and learning profiles. However, significant challenges persist, including algorithmic bias, data privacy concerns, unequal access to digital infrastructure, and limited teacher capacity to critically mediate AI-supported learning. Conclusion. The study concludes that while AI-driven personalized learning paths hold substantial promise for advancing inclusive education, their effectiveness depends on transparent algorithm design, strong ethical governance, and sustained professional development for educators to ensure technology serves pedagogical and social inclusion goals rather than exacerbating existing inequalities.
Smart Contracts and Their Implications for Conventional Contract Law Hendri Khuan; Yenni Novita Wulandari; Chak Sothy
Rechtsnormen: Journal of Law Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i1.2067

Abstract

Background. The rise of blockchain technology has led to the development of smart contracts, which are self-executing contracts with the terms of the agreement directly written into code. While they promise enhanced efficiency, security, and automation, the legal implications of smart contracts on conventional contract law remain largely underexplored. The advent of these digital contracts challenges traditional legal frameworks and calls for a reassessment of existing contract law principles. Objective. This study aims to analyze the implications of smart contracts for conventional contract law, focusing on the legal, ethical, and practical challenges they present. The research seeks to evaluate how smart contracts align with or diverge from traditional contract principles such as offer, acceptance, and enforceability. Method. A qualitative research approach was employed, utilizing a comprehensive literature review and case law analysis to explore the intersection of smart contracts and conventional contract law. Interviews with legal experts and blockchain developers were also conducted to gather insights on real-world applications. Results. The findings reveal that while smart contracts offer substantial benefits in terms of automation and security, they also raise issues related to ambiguity, legal recognition, and the need for updated regulations. The study identifies a gap in existing legal frameworks regarding the enforceability of smart contracts. Conclusion. Smart contracts have significant potential to revolutionize contract law, but their integration into conventional legal systems requires substantial legal reform and adaptation. Further research is needed to establish clear regulatory standards.