PROKRASTINASI AKADEMIK SEBAGAI PREDIKTOR PERILAKU MENYONTEK PADA MAHASISWA PENGGUNA TEKNOLOGI ARTIFICIAL INTELLIGENCE

Fathia Azzahra (Universitas Gunadarma, Jakarta)
Nurul Huda (Universitas Gunadarma, Jakarta)
Dina Kusuma Astuti (Universitas Gunadarma, Jakarta)

Journal Ilmiah Rinjani : Media Informasi Ilmiah Universitas Gunung Rinjani
Vol. 14 No. 1 (2026): Journal Ilmiah Rinjani: Media Informasi Ilmiah Universitas Gunung Rinjani

The increasing use of artificial intelligence (AI) in higher education raises concerns regarding academic integrity, particularly cheating behavior. This study aimed to examine the contribution of academic procrastination to cheating behavior among university students who use AI for academic tasks. This quantitative study employed purposive sampling and involved 146 students aged 18–25 years who had actively used AI technology within the last month. The instruments used were the modified Cheating Behaviors Scale and Academic Procrastination Scale. Data were analyzed using simple linear regression. The results indicated that academic procrastination significantly contributed to cheating behavior (F = 65.002; p < 0.01), with an R² value of 0.311. This finding suggests that academic procrastination accounts for 31.1% of the variance in cheating behavior, while 68.9% is influenced by other variables not examined in this study. The results highlight that cheating behavior in the context of AI use is influenced not only by technological factors but also by students’ psychological characteristics. Therefore, strengthening self-regulation, time management skills, and ethical education regarding AI usage is essential to maintain academic integrity.