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All Journal Journal of Computer Science Advancements Journal of Noesantara Islamic Studies Journal of Selvicoltura Asean International Journal of Educatio Elementaria and Psychologia Research Psychologie, Orientation et Conseil Journal of Loomingulisus ja Innovatsioon Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal Markcount Finance Sharia Oikonomia Law Journal Journal of World Future Medicine, Health and Nursing International Journal of Educational Narratives Rechtsnormen: Journal of Law International Journal of Language and Ubiquitous Learning Journal of Social Science Utilizing Technology
Ryan Teo
Republic Polytechnic
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Law, Crime, Criminology & Criminal Justice Other

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Journal : journal of computer science advancements

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ENTERPRISE INFORMATION SYSTEMS ARCHITECTURE SUPPORTING E BUSINESS AND E GOVERNMENT DIGITAL TRANSFORMATION Ryan Teo; Fatimah Fahurian; Triyugo Winarko
Journal of Computer Science Advancements Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i2.3782

Abstract

The digital transformation of both e-business and e-government is increasingly dependent on the effective implementation of Enterprise Information Systems (EIS) architecture. As organizations seek to optimize their operations, enhance transparency, and improve service delivery, the need for robust EIS architectures has become critical. These architectures facilitate the integration of diverse systems, ensuring interoperability, scalability, and security. This study investigates how EIS architecture supports the digital transformation efforts in e-business and e-government, focusing on its impact on operational efficiency, data management, and stakeholder trust. A qualitative research design is employed, utilizing case studies, interviews, and document analysis from both public and private sector organizations. The findings reveal that EIS architecture significantly enhances the operational efficiency of both e-business and e-government, improving data security and reducing administrative bottlenecks. Institutions with fully integrated EIS reported improvements in service delivery, stakeholder satisfaction, and overall transparency. The research concludes that adopting modern EIS architectures is essential for successful digital transformation, particularly in sectors where data integrity and governance are paramount.
CODING REVOLUTION: HOW AI AGENTS ARE TAKING OVER SOFTWARE REPOSITORY MAINTENANCE Ryan Teo; Ava Lee; Sofia Lim
Journal of Computer Science Advancements Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i6.3322

Abstract

The rapid expansion of global software infrastructure has created a critical bottleneck, as human developers struggle to manage escalating technical debt and complex repository maintenance. This research explores the transformative shift toward “Autonomous Repository Management” (ARM), where AI agents transition from passive assistants to independent maintainers. The primary objective is to evaluate the efficacy of agentic architectures in performing end-to-end maintenance tasks across diverse software ecosystems. Employing a longitudinal experimental design, this study utilized a purposive sample of 50 open-source repositories, applying a custom “RepoHealth-Bench” framework to measure performance. Findings indicate that AI agents reduced technical debt by 31.5% in legacy systems and achieved a 96.5% patch success rate in standardized libraries, significantly outperforming human-centric benchmarks in speed and security remediation. Inferential analysis reveals a strong correlation between repository documentation quality and agent reliability, suggesting a “compounding health” effect through iterative machine-led refactoring. The study concludes that the “Coding Revolution” effectively reverses software entropy, shifting the developer's role from manual execution to high-level orchestration. These results provide a foundational blueprint for integrating autonomous digital workforces into the modern software development lifecycle, marking the end of the manual maintenance era.
Co-Authors Abul Walid Aries Purwanto Arum Putri Rahayu Ava Lee Ava Lee Chen Mei Dodi Setiawan Riatmaja Erni Nurhayani Erniyati Caronge Ethan Tan Ethan Tan Eva Janssen Fathurrahman Fatimah Fahurian Gregorius Henu Basworo Ishak Bagea Izzul Ashlah James Njoroge Kaito Tanaka khoiriyah khoiriyah Lucas Wong Lucas Wong Makhrus Ali Marcus Tan Mariama Bah Mega Ilhamiwati Megan Koh Muh Irfan Mukhlishin Mulyaningsih Muntasir, Muntasir Pande Ayu Naya Kasih Rachel Chan Rahma Nurzianti Rania Al-Mohammed Sofia Lim Sofia Linm Sun Wei Taufik Setyaudin Triyugo Winarko