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Blockchain Governance and Teacher Empowerment to Enhance Digital Edupreneurship in the Merdeka Curriculum Ana Theriana; Sri Wuli Fitriati; Rahayu Puji Haryani; Khatarina Rustipa; John Edwards
Blockchain Frontier Technology Vol. 5 No. 1 (2025): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i1.811

Abstract

This study focuses on the implementation of blockchain governance and teacher empowerment in the Merdeka Curriculum to enhance digital entrepreneurship in education. Although digital technology is advancing rapidly, many educators face challenges in integrating technology into their teaching processes. Therefore, the objective of this research is to examine how technology can help improve the quality of education. This study aims to explore several ways in which blockchain governance can enhance educational data management and how teachers can support the development of students' digital businesses within a more flexible curriculum. The research employs a qualitative method by conducting surveys and in-depth interviews with teachers and education administrators in Indonesia. Thematic analysis is used for qualitative data, while descriptive statistics are applied to quantitative data. The results of the study indicate that although the majority of teachers are highly interested in digital technology, they still face difficulties in implementing blockchain governance due to a lack of infrastructure and guidance. However, the Merdeka Curriculum provides teachers with the freedom to innovate in their teaching methods, which opens the door for digital education businesses. According to the discussion, blockchain governance can improve transparency in educational data management. On the other hand, teacher empowerment through technology-based training is crucial to fostering innovation in education. This study offers insights into how the application of technology and teacher empowerment are essential in creating a more innovative and effective educational ecosystem.
A Comparative Analysis of Traditional and Decentralized Storage Systems in the Digital Age Po Abbas Sunarya; Desy Apriani; Ruli Supriati; Danang Surya Budi; John Edwards
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ytwbd911

Abstract

The background of this research originates from the critical role of data storage in the advancement of modern digital technology, where centralized traditional cloud storage models have become dominant due to their accessibility and ease of data management. However, the challenges faced by these models include limited scalability, high operational costs, and vulnerabilities related to data security and privacy. In response to these limitations, the InterPlanetary File System (IPFS) has emerged as a decentralized storage solution that offers an alternative approach to data storage and distribution. The objective of this study is to compare IPFS and traditional cloud storage based on four key aspects: scalability, security, cost, and performance. The methodology involves a literature review and case studies of IPFS implementation in various practical scenarios. The findings reveal that while IPFS offers superior decentralization and resistance to data censorship, it still suffers from inefficiencies in data re- trieval and challenges in large-scale adoption. The results show that traditional cloud storage demonstrates advantages in access speed and integration capabilities but remains constrained by higher costs and the risks associated with data centralization. The conclusion emphasizes the need for continued research to enhance the efficiency of IPFS and to explore hybrid storage models that integrate the benefits of both decentralized and centralized technologies.
Blockchain Integration for Secure Data Provenance and Interoperable Database Management Terra Saptina Maulani; Dwi Cahyono; Yansa Sendi Fadillah; Maulidya Reva Aprianti; John Edwards
Blockchain Frontier Technology Vol. 6 No. 1 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v6i1.1025

Abstract

The rapid advancement of digital technologies has led to a significant increase in data volume and complexity, while traditional database systems continue to face challenges in ensuring data security, integrity, transparency, and interoperability across platforms, resulting in higher risks of data tampering, limited audit trails, and the formation of data silos. This study aims to examine and develop a blockchain integration model with conventional database systems to strengthen secure data provenance and enhance interoperability among heterogeneous databases. This research proposes a hybrid architecture that combines on data recording using a permissioned blockchain with off data storage through Relational Database Management System (RDBMS) or Not Only SQL (NoSQL) databases, where blockchain functions as a trust layer that records data hashes, metadata, and immutable change histories, while system evaluation is conducted through security testing, data integrity assessment, auditability analysis, latency measurement, throughput evaluation, data consistency analysis, and cross-platform interoperability testing. The experimental results demonstrate that blockchain integration significantly improves data security and traceability by providing transparent and tamper-resistant audit trails, while enabling secure and consistent data exchange across systems through integration modules and API gateways, despite introducing additional performance overhead compared to conventional database systems. This study concludes that integrating blockchain with conventional database systems is an effective approach for ensuring secure data provenance and interoperable database management, offering a balanced trade-off between security, transparency, and system efficiency, and presenting strong potential for further development in large-scale distributed data environments.