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Journal : Journal of Social Science Utilizing Technology

Blockchain Technology for Enhancing Transparency and Accountability in Educational Administration A, Chevi Herli Sumerli; Mudinillah, Adam; Jonathan, Bouyea; Karomah, Nurul Giswi; Handayani, Noor Fazariah
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1779

Abstract

Background. Educational institutions face increasing demands for transparency and accountability in their administrative processes. Traditional systems often lack the necessary security, efficiency, and transparency to meet these demands, leading to issues such as fraud, mismanagement, and mistrust. Blockchain technology, known for its decentralized and immutable nature, has emerged as a promising solution to address these challenges within educational administration. Purpose. This research aims to explore the potential of blockchain technology in enhancing transparency and accountability in educational administration. The study focuses on how blockchain can improve data integrity, reduce administrative costs, and streamline processes in educational institutions. Method. A qualitative approach was adopted, involving case studies of institutions that have implemented blockchain-based solutions for administrative purposes. Data was collected through interviews with administrators, technology experts, and stakeholders to assess the impact of blockchain technology on transparency and accountability. Results. The findings indicate that blockchain significantly improves data security and traceability, ensuring that records are tamper-proof and easily auditable. It also reduces administrative overhead by automating processes and streamlining communication between stakeholders. Furthermore, blockchain enhances stakeholder trust through transparent and decentralized decision-making. Conclusion. Blockchain technology holds great promise for revolutionizing educational administration by providing a secure, transparent, and efficient system. Future research should focus on addressing scalability challenges and exploring broader applications of blockchain in educational settings.
AI and Social Equity: Challenges and Opportunities in the Age of Automation Judijanto, Loso; Mudinillah, Adam; Rahman, Rashid; Joshi, Nikhil
Journal of Social Science Utilizing Technology Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i1.2117

Abstract

The rapid advancement of Artificial Intelligence (AI) and automation technologies has transformed various aspects of modern life, from labor markets to public services. While AI offers potential for innovation and efficiency, it also raises significant concerns regarding social equity, especially for marginalized and underrepresented communities. These concerns highlight the need for a critical examination of how AI systems may reinforce or mitigate existing societal disparities. This study aims to explore the challenges and opportunities that AI poses to social equity in the age of automation. The research focuses on identifying potential biases in AI-driven decision-making processes and assessing the impact of automation on employment, education, and access to services. Using a mixed-methods approach, the study combines qualitative interviews with stakeholders from policy, tech industry, and affected communities, alongside quantitative analysis of labor and demographic data. This methodological design allows for a comprehensive understanding of both structural and experiential dimensions of AI’s impact. The findings reveal that while AI has the potential to improve service delivery and expand access to information, its deployment often reflects and amplifies existing inequalities when ethical and inclusive frameworks are absent. Particularly in automated hiring systems and predictive policing, biases embedded in algorithms disproportionately affect vulnerable groups. The study concludes that addressing AI's social equity implications requires intentional design, inclusive policy, and sustained public engagement. As automation continues to reshape society, equity must become a central consideration in AI development and governance.