Afrina Layanti Pasaribu
Jambi University

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Analisis Literasi Digital dan Trust Gen Z terhadap Niat Membagikan Deepfake berdasarkan Model TPB Afrina Layanti Pasaribu; Rizqa Raaiqa Bintana; Hasanatul Iftitah
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol. 15 No. 3 (2026): Juni 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i3.3687

Abstract

Abstract This study aimed to analyze the factors influencing Generation Z’s intention to share deepfake content on social media. The problem addressed was the increasing spread of deepfake content that may cause negative impacts. This study used a quantitative approach with a survey method through questionnaires distributed to 106 respondents in Jambi Province. Data were analyzed using Structural Equation Modeling based on Partial Least Squares. The results showed that Subjective Norm and Perceived Behavioral Control significantly influenced intention, while Attitude, digital literacy, and trust did not have a significant effect. These findings indicated that user behavior was more influenced by social factors and system ease of use rather than individual factors. This study contributed to understanding user behavior and provided implications for the development of more responsible digital systems. Keywords: Deepfake; Theory of Planned Behavior; Generation Z; Digital Literacy; Trust   Abstrak Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi niat generasi Z dalam membagikan konten deepfake di media sosial. Permasalahan yang diangkat adalah meningkatnya penyebaran konten deepfake yang berpotensi menimbulkan dampak negatif. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei melalui kuesioner kepada 106 responden di Provinsi Jambi. Analisis data dilakukan menggunakan Structural Equation Modeling berbasis Partial Least Squares. Hasil penelitian menunjukkan bahwa Subjective Norm dan Perceived Behavioral Control berpengaruh signifikan terhadap intention, sedangkan Attitude, Literasi Digital, dan Truts tidak berpengaruh signifikan. Temuan ini menunjukkan bahwa perilaku pengguna lebih dipengaruhi oleh faktor sosial dan kemudahan sistem dibandingkan faktor individu. Penelitian ini memberikan kontribusi dalam memahami perilaku pengguna serta implikasi bagi pengembangan sistem digital yang lebih bertanggung jawab.