Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Madani: Multidisciplinary Scientific Journal
Hamuddin, Humaera
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pengembangan Sistem Deteksi dan Pencegahan Deepfakes Pada Windows: Keamanan Distribusi Konten Alif, Muh.; Hamuddin, Humaera; Rahman, Rakhmadi
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 6 (2024): Madani, Vol 2, No. 6 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13119875

Abstract

Deepfakes detection and prevention systems are needed nowadays. The publication of content made from AI manipulation is a threat in the digital world. This system is used to minimize the distribution of content that can be used by certain individuals to bring down a person or group. The detection carried out focuses on machine learning as the main system. Blockchain as a system that performs storage and verification based on comparing the original content that has been loaded with content that is considered manipulated. It is transparent and has various advantages that provide security for data and users. With the appropriate dataset in machine learning, detection can be done as needed. Machine learning does not reject many datasets to train the model created to be smarter in detection. Deeepfakes pose a significant threat to information dissemination. It is necessary to do good and correct prevention and detection so that disinformation does not occur and also so that there is no hoax information.
Co-Authors Alif, Muh. Rakhmadi Rahman