PENGARUH ACADEMIC SELF-EFFICACY TERHADAP AI DEPENDENCY PADA MAHASISWA

ADINDA NAJLA TUNGGADEWI, . (2026) PENGARUH ACADEMIC SELF-EFFICACY TERHADAP AI DEPENDENCY PADA MAHASISWA. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh academic self-efficacy terhadap AI dependency pada mahasiswa. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian eksplanatori dan desain non-eksperimental. Partisipan penelitian merupakan mahasiswa aktif jenjang D3, D4, S1, S2, dan S3 yang menggunakan generative artificial intelligence dalam aktivitas akademik. Teknik pengambilan sampel yang digunakan adalah convenience sampling. Data penelitian dikumpulkan menggunakan College Academic Self-Efficacy Scale (CASES) untuk mengukur academic self-efficacy dan Generative AI dependency Scale untuk mengukur AI dependency. Analisis data dilakukan menggunakan analisis regresi linear sederhana. Hasil penelitian menunjukkan bahwa academic self-efficacy berpengaruh negatif dan signifikan terhadap AI dependency pada mahasiswa (B = -0,038; p = 0,036). Nilai koefisien determinasi (R² = 0,008) menunjukkan bahwa academic self-efficacy memberikan kontribusi sebesar 0,8% terhadap AI dependency, sedangkan sebesar 99,2% dipengaruhi oleh faktor lain di luar penelitian. Dengan demikian, dapat disimpulkan bahwa semakin tinggi academic self-efficacy yang dimiliki mahasiswa, maka semakin rendah kecenderungan mereka untuk mengalami AI dependency dalam penggunaan generative artificial intelligence pada aktivitas akademik. Meskipun demikian, besarnya kontribusi yang diberikan tergolong kecil, sehingga diperlukan penelitian lebih lanjut untuk mengkaji faktor-faktor lain yang berperan dalam membentuk AI dependency pada mahasiswa. Kata kunci: academic self-efficacy, AI dependency, mahasiswa, generative artificial intelligence **** This study aimed to examine the influence of academic self-efficacy on AI dependency among university students. This study employed a quantitative approach using an explanatory and non-experimental research design. The participants were active diploma (D3 and D4), undergraduate (S1), master’s (S2), and doctoral (S3) students who utilized generative artificial intelligence in academic activities. A convenience sampling technique was employed to recruit the participants. Data were collected using the College Academic Self-Efficacy Scale (CASES) to measure academic self-efficacy and the Generative AI dependency Scale to measure AI dependency. The data were analyzed using simple linear regression analysis. The results indicated that academic self-efficacy had a negative and statistically significant influence on AI dependency among university students (B = -0.038; p = 0.036). The coefficient of determination (R² = 0.008) showed that academic self-efficacy accounted for 0.8% of the variance in AI dependency, while the remaining 99.2% was explained by other factors not examined in this study. These findings suggest that students with higher levels of academic self-efficacy tend to exhibit lower levels of AI dependency in the use of generative artificial intelligence for academic purposes. Nevertheless, the contribution of academic self- efficacy was relatively small, indicating the need for further research to investigate other factors associated with AI dependency among university students. Keywords: academic self-efficacy, AI dependency, university students, generative artificial intelligence

Item Type:	Thesis (Sarjana)
Additional Information:	1). Santi Yudhistira, M.Psi., Psikolog .; 2). Gita Irianda Rizkyani Medellu, S.Psi., M.Psi.
Subjects:	Filsafat, Psikologi & Agama > Psikologi, Ilmu Jiwa
Divisions:	FPPsi > S1 Psikologi
Depositing User:	ADINDA NAJLA TUNGGADEWI .
Date Deposited:	13 Aug 2026 01:49
Last Modified:	13 Aug 2026 01:49
URI:	http://repository.unj.ac.id/id/eprint/70618

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