Claim Missing Document
Check
Articles

Found 3 Documents
Search

The Impact of Educational Information Systems on Learning Accessibility in Higher Education Sudadi Pranata; Maulana Arif Komara; Fhia Amelia; Noah Rangi
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.132

Abstract

This study explores the impact of educational information systems on enhancing learning accessibility in higher education, as digital tools increasingly become integral to academic support, and student engagement. The main objective is to assess how these systems improve access to learning resources and facilitate communication, particularly for students from diverse backgrounds and with varying educational needs. Using a mixed-methods approach, this research combines quantitative analysis of accessibility metrics with qualitative insights from surveys and interviews with students and faculty across different higher education institutions. The findings show that educational information systems significantly enhance learning accessibility by providing flexible access to resources, facilitating real-time feedback, and supporting personalized learning paths. These systems also improve student engagement by enabling convenient access to materials and fostering a collaborative learning environment that accommodates different learning styles. However, the study identifies several barriers, including gaps in digital literacy, usability challenges, and unequal access to the necessary infrastructure, which can limit the effectiveness of these systems in reaching all students equally. Additionally, concerns around data privacy and system complexity are noted as areas needing attention to build user trust and ensure smoother system integration. The study concludes that while educational information systems hold great promise for improving accessibility and inclusivity in higher education, addressing these barriers through targeted training, digital equity initiatives, and robust data protection policies is essential for maximizing their potential. These insights offer valuable guidance for educational institutions aiming to create more inclusive learning environments through strategic integration of educational information systems.
Leveraging IPFS to Build Secure and Decentralized Websites in the Web 3.0 Era Imam Ryan Maulana; Untung Rahardja; Nur Azizah; Mohamad Rakhmansyah; Maulana Arif Komara
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.700

Abstract

In recent years, Web 3.0 has gained significant attention due to its potential to create a more secure and decentralized internet. The background of this research lies in the growing demand for data privacy and security, which traditional Web 2.0 platforms fail to provide.The objective of this study is to explore how IPFS (InterPlanetary File System) can be leveraged to build decentralized websites that prioritize security and user privacy in the Web 3.0 ecosystem. The method involves a qualitative approach, including a case study where IPFS is utilized to develop a decentralized website, followed by a series of performance and security tests. The performance tests revealed that IPFS-based websites achieved a 99.2% uptime compared to 96.5% in traditional websites, and reduced server failure rates by approximately 35%. These quantitative results confirm that IPFS provides higher resilience against data breaches and server failures while reducing reliance on single points of failure. The conclusion drawn from this research indicates that IPFS is a promising technology for developing secure, decentralized websites in the Web 3.0 era, offering an enhanced user experience with improved privacy, data security, and scalability. The findings suggest that adopting IPFS for web development could pave the way for the next generation of decentralized applications, contributing to the ongoing transformation of the internet.
Risk Management Financial Distress Prediction and Earnings Management in Indonesian Banks Suhendra Suhendra; Limajatini Limajatini; Marta Rodriguez; Maulana Arif Komara
APTISI Transactions on Management (ATM) Vol 10 No 3 (2026): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i3.2655

Abstract

The risks faced by financial institutions, particularly banks, can influence financial performance, institutional stability, and managerial reporting behavior. As financial intermediaries and key institutions supporting economic growth, banks require effective risk management to maintain financial resilience. This study aims to examine the relationship between bank risk management, financial distress prediction, and earnings management practices in commercial banks listed on the Indonesia Stock Exchange. The study covers the 2019–2022 period, including pre-pandemic conditions, the COVID-19 disruption, and the early recovery phase. Using a quantitative approach with panel data regression analysis supported by EViews software, this study analyzes 27 commercial banks selected through purposive sampling based on complete annual report data. Bank risk management is represented by credit risk, market risk, liquidity risk, and operational risk, while financial distress and earnings management are measured using established financial models. The results show that credit risk does not significantly affect financial distress or earnings management. Market risk significantly affects earnings management but does not influence financial distress. Liquidity risk and operational risk significantly affect both financial distress and earnings management, while financial distress significantly influences earnings management. These findings highlight that liquidity and operational efficiency are important indicators for banking risk control, early warning systems, and transparent financial governance in Indonesian listed banks.