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International Journal Science and Technology (IJST)
Published by Asosiasi Dosen Muda Indonesia
ISSN : 28287223     EISSN : 28287045     DOI : https://doi.org/10.56127/ijst.v1i2
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
International Journal Science and Technology (IJST) is a scientific journal that presents original articles about research knowledge and information or the latest research and development applications in the field of technology. The scope of the IJST Journal covers the fields of Informatics, Mechanical Engineering, Electrical Engineering, Information Systems and Industrial Engineering. This journal is a means of publication and a place to share research and development work in the field of technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 93 Documents
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Adversarial AI in Social Engineering Attacks: Large- Scale Detection and Automated Counter measures Anil Kumar Pakina; Deepak Kejriwal; Tejaskumar Dattatray Pujari
International Journal Science and Technology Vol. 4 No. 1 (2025): March: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v4i1.1964

Abstract

Social engineering attacks using AI-generated deepfake information leverage rare cybersecurity threat hunting. Conventional phishing detection and fraud prevention systems are failing to catch detection errors due to AI-generated social engineering in email, voice, and video content. To mitigate the increased risk of AI-driven social engineering attacks, a new multi-modal AI defense framework, incorporating Transfer Learning through pre-trained language models, deep fake sound analysis, and behavior-analysis systems capable of pinpointing AI generated social engineering attack, is presented. Benefiting from the utilization of state-of-the-art deepfake voice recognition systems and behavior anomaly detector system (BADS) base for cash withdrawals, the discoverers show that the defense mechanism achieves unprecedented detection accuracy with the least incidence of false positives. This brings about the necessity for fraud prevention augmenting AI measures and provision of automated protection mitigating adversarial social engineering within the enterprise security and financial transaction systems.
Ensuring Responsible AI: The Role of Supervised Fine-Tuning (SFT) in Upholding Integrity and Privacy Regulations Tejaskumar Pujari; Anshul Goel; Ashwin Sharma
International Journal Science and Technology Vol. 3 No. 3 (2024): November: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v3i3.1968

Abstract

AI is increasingly used in high-stakes fields such as healthcare, finance, education, and public governance, requiring systems that uphold fairness, accountability, transparency, and privacy. This paper highlights the critical role of Supervised Fine-Tuning (SFT) in aligning large AI models with ethical principles and regulatory frameworks like the GDPR and EU AI Act. The interdisciplinary approach combines regulatory analysis, technical research, and case studies. It proposes integrating privacy-preserving techniques—differential privacy, secure multiparty computation, and federated learning—with SFT during deployment. The research also advocates incorporating Human-in-the-Loop (HITL) and Explainable AI (XAI) to ensure ongoing oversight and interpretability. SFT is positioned not only as a technical method but as a core enabler of responsible AI governance and public trust.
Augmented Reality in E-Commerce: A Conceptual Exploration of Product Uncertainty and Customer Engagement Hari Setiabudi Husni; Michelle Alicia Lynch; William Leo Walangitan; Aaron Kennedy
International Journal Science and Technology Vol. 4 No. 1 (2025): March: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v4i2.2077

Abstract

The growth of e-commerce has redefined consumer expectations, yet it continues to grapple with key limitations such as product uncertainty and insufficient customer engagement. Augmented Reality (AR) has emerged as a promising technological innovation, offering immersive product visualization that enhances consumer interaction and confidence in online shopping. This study provides a conceptual exploration of AR’s role in mitigating product-related uncertainty while simultaneously promoting deeper customer engagement within e-commerce platforms. Employing a systematic literature-based approach, the study synthesizes findings from peer-reviewed research across marketing, human-computer interaction, and information systems. The analysis identifies how AR reduces different dimensions of uncertainty—such as appearance, fit, and functional ambiguity—and outlines the psychological mechanisms, including trust formation and perceived interactivity, that mediate user responses. Furthermore, the study highlights the conditions under which AR fosters cognitive and emotional engagement, with implications for interface design and strategic technology adoption. This conceptual synthesis offers both theoretical insights and practical guidelines for e-commerce platforms considering AR integration. It also proposes a research agenda to empirically validate the conceptual model and expand understanding of AR’s long-term impact on consumer behavior.

Page 10 of 10 | Total Record : 93

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