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Integrating Semantic Web and AI in Informatics Education to Enhance Digital Information Evaluation Skills Kurniawan, Sena; Sarah, Yuni Siti
Journal of Sustainable Innovation Engineering Vol. 1 No. 2 (2025): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/sustainable.v1i2.11

Abstract

The ability to critically evaluate digital information is a vital skill for students in an era of information overload and misinformation. This study aims to examine the effectiveness of integrating Semantic Web and Artificial Intelligence (AI) technologies in Informatics learning to enhance high school students' information evaluation skills. A quasi-experimental method was employed using a pretest-posttest control group design with two 11th-grade classes (30 students each). The intervention utilized Google Knowledge Graph and ChatGPT, with evaluations conducted via practical tests, digital literacy rubrics, and student perception questionnaires. Results revealed a statistically significant improvement in the experimental group’s evaluation scores (p < 0.01), particularly in accuracy and analytical depth. Students responded positively to semantic tools, although some reported difficulties understanding complex AI-generated content. The study concludes that Semantic Web and AI integration can serve as an effective pedagogical strategy in Informatics learning, provided there is adequate infrastructure and active teacher support as facilitators.
Efisiensi Sistem Pembayaran Cashless: Dampak Penggunaan QRIS terhadap Akuntabilitas Keuangan pada Bisnis Kuliner Skala Kecil Kurniawan, Sena; Sarah, Yuni Siti
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i3.5334

Abstract

This study examines how the efficiency of the QRIS cashless payment system affects the financial accountability of small-scale culinary businesses. This study employed a quantitative approach with an explanatory survey method. Data collection utilized purposive sampling, involving 115 active culinary MSMEs. The measurement instrument adopted the Technology Acceptance Model (TAM) framework. Furthermore, the data were analyzed using Structural Equation Modeling - Partial Least Square (SEM-PLS) via SmartPLS 4.0 software. The findings show that the efficiency of the QRIS system, characterized by perceived ease of use, usefulness in accelerating transactions, and digital footprint security, has a positive and significant effect on financial accountability. The structural model demonstrates a predictive relevance of 64.2%. Specifically, QRIS implementation effectively nudges micro-entrepreneurs to separate funds, simplifies daily cash reconciliation, and automates basic financial reporting. The study implies that QRIS transcends its primary function as a payment gateway, acting as a vital catalyst in mitigating the “mingling of funds” habit and addressing the “missing middle” financing gap for micro-enterprises. This research suggests that financial service providers should incorporate automated financial statements in merchant apps to enhance MSMEs' creditworthiness.