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All Journal JUSIM (Jurnal Sistem Informasi Musirawas)
Dina Dalilah
Universitas PGRI Silampari, Lubuk Linggau
Computer Science & IT Decision Sciences, Operations Research & Management

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SISTEM CERDAS BERBASIS WEB UNTUK KLASIFIKASI GAMBAR AI MULTIKELAS MENGGUNAKAN FUSI FITUR CNN-VIT DAN BLS Nopalia Nopalia; Raniyah Ayu Lestari; Dina Dalilah
JUSIM (Jurnal Sistem Informasi Musirawas) Vol. 11 No. 2 (2026): JUSIM : Jurnal Sistem Informasi Musi Rawas Juni
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusim.v11i2.3420

Abstract

The rapid advancement of Generative Artificial Intelligence (AI) technology poses significant challenges in digital forensics, particularly in distinguishing authentic images from synthetic ones. The limitations of current binary detection methods drive the need for a more comprehensive identification system. This study aims to develop an intelligent web-based system for multiclass AI image detection. The proposed approach utilizes a hybrid model integrating a Convolutional Neural Network (EfficientNet-B0) for local spatial feature extraction and a Vision Transformer (ViT-Base) to capture global visual context. Features from both architectures are combined through a feature fusion mechanism and efficiently classified using a Broad Learning System (BLS) to distinguish six categories: real/AI humans, real/AI animals, and real/AI objects. Evaluation conducted on 900 validation images demonstrates that the hybrid model achieves an overall accuracy of 96.56%, with an average precision, recall, and F1-score of 97%. The system is deployed as an interactive web application utilizing a Streamlit interface and a FastAPI backend. Functional testing proves that the platform can process inferences stably and responsively in real-time. In conclusion, the integration of CNN-ViT and BLS offers superior accuracy alongside optimal computational efficiency for practical digital image authentication.
Co-Authors Nopalia Nopalia Raniyah Ayu Lestari