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p-Index From 2021 - 2026
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This Author published in this journals
All Journal The Scientific Journal of Information Systems
Nurul Badriah
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science

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THE ROLE OF GREEN IT ON ENHANCING ENERGY EFFICIENCY IN ORGANIZATIONS Fajar Muttaqi; Nurul Badriah; Moh. Alfaujianto; Asep Surahmat
Scientific Journal of Information System Vol. 3 No. 1 (2025): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v3i1.169

Abstract

Green IT is a cutting-edge information technology strategy designed to lessen the negative environmental effects of using IT infrastructure and devices. This study uses a qualitative methodology to investigate how Green IT is being adopted in different enterprises, emphasizing its advantages, difficulties, and practical implementation techniques. Document analysis and literature reviews from a range of sources pertaining to the adoption of green IT were used to gather data. According to the research, companies who use green IT see improvements in operational sustainability, lower carbon emissions, and increased energy efficiency. However, there are a number of significant obstacles to its adoption, including high upfront expenditures, ignorance, and reluctance to adopt new technologies. This report also emphasizes how crucial laws and rules are to encouraging the use of green IT. The study's conclusion highlights how putting Green IT into practice helps build a more sustainable and ecologically friendly technology ecosystem. As a result, companies must create all-encompassing plans for implementing Green IT, which should include purchasing energy-efficient equipment and increasing organizational understanding. This study helps policymakers, practitioners, and scholars better understand and support the future adoption of green IT.
The Evolution of AI-Powered Knowledge Management Systems: A Systematic Literature Review and Future Research Agenda Fajar Muttaqi; Nurul Badriah; Toto Hermanto
Scientific Journal of Information System Vol. 4 No. 2 (2026): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v4i2.392

Abstract

Knowledge Management Systems (KMS) have evolved from rigid databases into intelligent repositories driven by Artificial Intelligence (AI). However, a systematic synthesis tracing this evolution up to Generative AI remains fragmented. Addressing this critical research gap, this Systematic Literature Review (SLR) investigates the technological evolution of AI-powered KMS, maps AI applications across the Knowledge Management Lifecycle, identifies deployment challenges, and proposes a future research agenda. Following PRISMA 2020 guidelines, a total of 105 peer-reviewed articles published between 2018 and 2026 were retrieved from Scopus, IEEE Xplore, and Web of Science for qualitative and quantitative synthesis. The review identifies three evolutionary eras, culminating in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Quantitative analysis reveals that AI integration is heavily concentrated in knowledge retrieval (representing 45% of analyzed studies) and creation. However, critical deployment barriers persist, particularly model hallucinations, enterprise data privacy, high computational costs, and user adoption resistance. This study distinguishes itself from previous reviews by providing a structured taxonomy of AI paradigms in KMS, offering strategic blueprints for enterprise deployment, and outlining future research trajectories focusing on Graph-RAG, multi- modal agents, edge-deployed local models, and AI governance frameworks.
Co-Authors Fajar Muttaqi Fajar Muttaqi Moh. Alfaujianto Surahmat, Asep Toto Hermanto