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Artificial Intelligence Deepfake Againts Cybercrime Threaths

Faqih, Azhar and Sulaimah, Sulaimah and Khaerudin, Imawan and Abdul Jalil, Hermawan (2025) Artificial Intelligence Deepfake Againts Cybercrime Threaths. Indonesian Journal of Advance Research (IJAR), 4 (8). pp. 1815-1828. ISSN 2986-0768

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Jurnal Published Faqih Azhar (120100134) & Sulaimah (120100150).pdf
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Abstract

This research aims to determine the practice of artificial intelligence in deepfake applications against cybercrime threats. Current technological developments have given rise to communication media using artificial intelligence technology in deepfake applications. The deepfake application can change a person’s visual and audio using a deep learning system and is widely used by the public and business actors. However, this technology often leads to cybercrime such as fraud and identity theft. This study uses a descriptive qualitative method with data collection through literature review and analysis descriptively. The findings answer problems related to fraud and identity theft, focusing on the East Java Governor case, and emphasize the need for preventive measures by the public and government to avoid misuse of deepfake applications.

Item Type: Article
Subjects: H Political and Social Sciences > H Social Sciences (General)
Divisions: Fakultas Ilmu Sosial dan Ilmu Politik > Ilmu Komunikasi
Depositing User: Sulaimah Sulaimah
Date Deposited: 11 May 2026 08:59
Last Modified: 11 May 2026 08:59
URI: https://eprints.ugj.ac.id/id/eprint/3321

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