Scientific Journal of Information System

The Evolution of AI-Powered Knowledge Management Systems: A Systematic Literature Review and Future Research Agenda

Fajar Muttaqi — 2026-11-01

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.

Controlling Access to YouTube, WhatsApp, and Facebook in Corporate Networks Using FortiGate

Fahmi Rizky Nugraha — 2026-11-01

This journal discusses the design, implementation, and best practices for using FortiGate to restrict access to popular content services such as YouTube, WhatsApp, and Facebook within a corporate environment. The focus is on FortiOS features including Application Control, Web Filter (FortiGuard), SSL/SSH Inspection (Deep Inspection), Internet Service Database (ISDB), and NGFW policies. Configuration steps (GUI & CLI), sample rules, testing methodology, and operational considerations are also provided.

Application of Student-Centered Learning in User Experience to Improve Students' Interface Design Skills

Nurul Badriah — 2026-11-03

User Experience (UX) learning requires students to understand users, organize information, and create interfaces that are easy to use. However, instructor-dominated demonstrations may make learners dependent on examples, and Student-Centered Learning (SCL) in short UX courses is still rarely evaluated with measured interface design outcomes. This study examined the application of SCL to improve interface design skills in a UX course. A onegroup pretest-posttest design was used with 11 participants at a private training center. Learning activities included problem selection, user-needs discussion, sketching, peer feedback, prototyping, testing, and presentation. Interface design skills were measured using a rubric covering layout, visual consistency, interaction flow, and user-centered design justification. The mean score increased from 59.00 (SD = 3.32) to 72.36 (SD = 5.92), t(10) = 11.50, p < .001, with a large effect size (dz = 3.47) and a moderate normalized gain (0.33). Questionnaire means ranged from 3.82 to 4.27 on a five-point scale, with feedback rated highest and independent learning lowest. The findings suggest that SCL can support the development of interface design skills, but the one-group design and small sample (n = 11) limit causal and general claims.