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SIGMA-AI: Multimedia Engineering Technology Digital Gallery Platform with Artificial Intelligence Tyas, Sari Setyaning; Pinem, Sanjaya; Setyasmara, Nofiandri; Kuswoyo, Deni; Mawardi, Cholid
Jurnal Ilmiah Universitas Batanghari Jambi Vol 26, No 1 (2026): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v26i1.6387

Abstract

The rapid expansion of digital creativity in higher education has increased the need for structured, secure, and intelligent platforms capable of managing large volumes of multimedia-based student work. SIGMA-AI was developed to address this challenge by integrating artificial intelligence into a digital gallery system specifically designed for the Multimedia Engineering Technology study program. Using the Rapid Application Development (RAD) methodology, the platform was built through iterative cycles of requirement analysis, system design, implementation, and testing. Key features include AI-driven auto-tagging, intelligent work recommendations, role-based validation, and an academic analytics dashboard. White-box testing demonstrates that the system’s core processes login, artwork upload, and profile updatesoperate reliably across different scenarios. Comparative analysis shows that SIGMA-AI outperforms mainstream portfolio platforms such as Behance, Dribbble, and cloud repositories by offering structured academic workflows, automated metadata generation, and pedagogical insights unavailable in conventional systems. The findings indicate that SIGMA-AI is not only technically feasible but also strategically valuable for strengthening digital archiving, enhancing learning analytics, and supporting AI literacy in creative education environments.
A Role‑Based Document Verification and Authorization System with QR Code Integration for Campus Administrative Processes Pinem, Sanjaya; El Rezen Purba, Doni; Yakob, Freddy
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 5 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i5.2293

Abstract

Document authentication has become a critical necessity for various institutions to prevent forgery, such as data manipulation or page substitution. While QR code technology is widely used, many current implementations rely on static links lacking robust validation mechanisms, making them susceptible to exploitation. This study aims to develop a QR code-based document verification system with a centralized validation architecture that is practical and efficient for small-to-medium-sized institutions. The research methodology employs the Software Development Life Cycle (SDLC) Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance. The system is designed with a multi-role workflow (Admin, Lecturer, and Guest) where the QR code serves solely as a reference identity, while the actual validation occurs within a centralized database to minimize spoofing risks. Results from Black Box Testing confirm that the system effectively manages the document lifecycle, from initial upload to electronic signature (TTE) application and real-time public verification via unique URLs. This implementation demonstrates that centralized hash validation is a sufficient security measure to mitigate document forgery risks without requiring high-complexity infrastructure.