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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.
Designing an Educational Information System to Enhance Learning Factory Management in Higher Education Yansa Sendi Fadillah; Irma Yusnita; Abdullah Arif Kamal; Ariesya Aprillia; Shofiyul Millah
International Transactions on Education Technology (ITEE) Vol. 4 No. 1 (2025): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v4i1.964

Abstract

The increasing adoption of Learning Factory concepts in higher education has highlighted the need for effective educational information systems that can support operational efficiency, resource utilization, and knowledge integration. However, many Learning Factories still face challenges in coordinating instruc- tional activities, managing training equipment scheduling, and ensuring align- ment between educational objectives and industrial practices. This study aims to design an educational information system that optimizes Learning Factory operations through the integration of workflow management, resource alloca- tion, and instructional monitoring components. The research employs a qual- itative design involving observations of operational processes, semi-structured interviews with instructors and laboratory managers, and document analysis to identify functional requirements and system specifications. The findings reveal that existing management practices are largely manual, leading to inefficiencies such as scheduling conflicts, inconsistent training documentation, and limited real-time feedback mechanisms. The proposed system design features central- ized resource scheduling, digital competency tracking, and process visualization dashboards, which collectively support more structured learning activities and improved synchronization between theoretical instruction and practical engage- ment. The study concludes that developing an educational information system tailored to the Learning Factory environment enhances operational coordination, improves transparency in instructional management, and strengthens the linkage between educational outcomes and industrial competencies, thereby contribut- ing to more effective and industry-aligned learning experiences.