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Analysis of Academic Information System Integration in Improving the Quality of Higher Education Data Reporting to PDDIKTI Meri Mayang Sari; Untung Rahardja; Nur Azizah; Gabriel Fransiso; Jelita Bagaskara
International Transactions on Education Technology (ITEE) Vol. 4 No. 2 (2026): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v4i2.961

Abstract

Interdisciplinary Digital transformation in higher education requires integrated academic information systems to support accurate, consistent, complete, and timely reporting to the Higher Education Database (PDDIKTI). However, many universities still face reporting delays, data inconsistencies, and synchronization problems caused by fragmented systems and manual processes. This study aims to analyze the role of academic information system integration in improving the quality of higher education data reporting. A qualitative case study approach was employed at a private university in Banten Province, Indonesia. Data were collected through observation, semi structured interviews, and document anal- ysis, and analyzed using thematic analysis and the Miles and Huberman inter- active model. The findings indicate that system integration through API-based synchronization, ETL processes, automated validation, and monitoring mecha- nisms significantly improves reporting quality in terms of accuracy, consistency, completeness, and timeliness. Integration also reduces manual workloads, mini mizes data duplication, accelerates synchronization, and improves transparency in reporting activities. Nevertheless, challenges related to synchronization fail- ures, API security, and institutional interoperability remain important consider- ations. The study concludes that academic information system integration is a critical factor in strengthening higher education data governance and supporting data-driven decision-making.
A Qualitative Case Study on Fintech-Driven Modernization of Capital Market Infrastructure Untung Rahardja; Ratna Utami Wijayanti; Yunita Christy; Gabriel Fransiso
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 2 (2026): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i2.725

Abstract

By addressing inefficiencies, high operating costs, and transparency constraints in conventional systems, this study investigates the role of Financial Technology (fintech) in modernizing capital market infrastructure. The study examines the impact of cloud computing, Artificial Intelligence (AI), machine learning, and Distributed Ledger Technology (DLT) on pre-trade, trade, and post-trade processes using a qualitative case study approach and thematic analysis of secondary data from exchanges, fintech companies, industry reports, and regulatory documents. Unlike previous studies that mainly focus on fintech adoption in general financial services or individual technologies, this study provides an integrated analysis of multiple fintech technologies within capital market infrastructure modernization. The findings show that fintech significantly improves post-trade efficiency by reducing operational risks, accelerating settlement processes, and minimizing reliance on intermediaries. Cloud-based infrastructure enhances scalable data analytics and market accessibility, while AI and machine learning strengthen market surveillance and risk management through real-time monitoring and early detection of anomalous trading activities. Despite these benefits, implementation remains constrained by institutional readiness, cybersecurity risks, and regulatory complexity. The study highlights the importance of collaboration among regulators, traditional financial institutions, and fintech firms to ensure sustainable integration and effective risk mitigation. Taken together, the findings indicate that fintech plays a crucial role in creating a more efficient, transparent, and resilient capital market infrastructure.