Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal UNIV.BI MENGABDI
Raniyah Ayu Lestari
Universitas PGRI Silampari, Lubuk Linggau
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Transportation Veterinary Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
PEMANFAATAN APLIKASI WEB SITE E-COMMERCE SEBAGAI MEDIA PROMOSI PADA TOKO MITRA MANDIRI KOMPUTER Dina Dalilah; Nopalia Nopalia; Raniyah Ayu Lestari
JURNAL UNIV.BI MENGABDI Vol 5 No 1 (2026): Jurnal UNIV.BI Mengabdi : Juni
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/mengabdi.v5i1.3433

Abstract

Kegiatan ini bertujuan untuk membantu Toko Mitra Computer dalam memanfaatkan teknologi informasi melalui pengembangan aplikasi website e-commerce sebagai media promosi dan penjualan produk secara online. Sebelumnya, proses promosi dan transaksi pada toko ini masih dilakukan secara konvensional, sehingga jangkauan pelanggan terbatas dan efisiensi operasional belum optimal.Hasil dari kegiatan ini adalah sebuah website e-commerce responsif yang berfungsi sebagai media promosi dan transaksi online. Aplikasi ini mempermudah pelanggan untuk melihat katalog produk, melakukan pemesanan, dan mendapatkan informasi promosi dengan cepat. Selain itu, pihak toko juga memperoleh kemudahan dalam mengelola data produk, pesanan, serta laporan penjualan.Melalui penerapan sistem ini, Toko Mitra Computer mengalami peningkatan efektivitas promosi dan jangkauan pelanggan, serta mampu bersaing di era digital. Aplikasi ini diharapkan menjadi langkah awal transformasi digital bagi mitra dan contoh bagi pelaku usaha kecil dan menengah lainnya dalam memanfaatkan teknologi e-commerce untuk mengembangkan bisnis.
Co-Authors Dina Dalilah Nopalia Nopalia