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Journal of Computer Science Advancements
Published by Yayasan Adra Karima Hubbi
ISSN : 30263379     EISSN : 3024899X     DOI : https://doi.org/10.70177/jsca
Core Subject : Science,
Computer Science & IT
Journal of Computer Science Advancements is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of science, engineering and information technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the Journal of Computer Science Advancements follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 112 Documents
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BIG DATA ANALYTICS FOR SUSTAINABLE GREEN SUPPLY CHAIN MANAGEMENT OPTIMIZATION MODELS Nizam, Zain; Rahman, Rashid; Hakim, Muhammad Arif Abdul
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.v4i2.3789

Abstract

The growing need for sustainable practices in global supply chains has driven the adoption of Big Data Analytics (BDA) to optimize performance and reduce environmental impact. Traditional supply chain management systems often fail to balance operational efficiency with sustainability goals, leading to increased waste and resource inefficiency. Big Data Analytics, by providing real-time insights, predictive models, and data-driven decision-making, offers a solution to this challenge. This research explores the application of BDA in the optimization of Sustainable Green Supply Chain Management (GSCM) models, focusing on how data-driven strategies can enhance both environmental and operational performance. The study employs a mixed-methods approach, combining case studies, performance metrics, and interviews with key industry stakeholders to assess the impact of BDA on supply chain efficiency, resource utilization, and waste reduction. The results show that BDA significantly improves key performance indicators, including a 20% increase in resource efficiency, a 25% reduction in waste, and a 15% decrease in operational costs. The study concludes that BDA is a crucial enabler for sustainable supply chains, providing organizations with the tools to optimize operations while minimizing their environmental footprint.
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.

Page 12 of 12 | Total Record : 112

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