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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Journals of Ners Community JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Simki Economic Arcitech: Journal of Computer Science and Artificial Intelligence Journal of Artificial Intelligence and Digital Business Journal of Informatics, Electrical and Electronics Engineering
Rosyid, Harun Al
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Neuroscience Nursing Social Sciences Transportation

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Journal : Journal of Informatics, Electrical and Electronics Engineering

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Analisis Pengaruh Stimultan Penggunaan TikTok dan Instagram terhadap Prestasi Akademik Mahasiswa Zulatifa, Nelani Shafatia; Ridla, Abdilbar Ainur; Pratiwi, Galuh Rastika; Listyaningsih, Divita Aulia; Octavia, Amallia Putri; Hamidah, Atika Rosidah; Rosyid, Harun Al
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 2 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i2.2872

Abstract

This study aims to analyze the relationship between the use of TikTok (X1) and Instagram (X2) on the academic achievement of Digital Business Undergraduate Program students of the 2022 intake, which is assessed by the average score. The study approach uses a quantitative approach with a questionnaire by 186 participants. The research instrument has been proven valid because all items meet the requirements of Corrected Item-Total Correlation > 0.30, and is reliable with Cronbach's Alpha values X1 = 0.81; X2 = 0.86; and Y = 0.87, respectively. The findings of the analysis indicate that the two independent variables do not contribute significantly to the dependent variable. The Pearson correlation results show r = –0.045 (p = 0.568) on X1 and r = 0.048 (p = 0.548) on X2, which reflects a very weak and statistically insignificant relationship. Partial regression testing using the t-test also confirmed this, with the regression coefficient of X1 being -0.0398 (t = -0.516; p = 0.606) and X2 being -0.0001 (t = -0.001; p = 0.999). Simultaneously, the F-test also indicated that the model was not significant (p > 0.05). The low R-squared value confirmed that X1 and X2 played only a small role in explaining the variation in student GPA. The regression model also met classical assumptions, including freedom from multicollinearity (VIF X1 = 1.18; VIF X2 = 1.17), no heteroscedasticity (p = 0.7829), and a linear relationship, although there were indications of mild autocorrelation (DW = 1.731). These findings confirm that the intensity of TikTok and Instagram use is not the main predictor of academic achievement, so further research is recommended to include other variables such as learning motivation, time management, academic support, quality of the learning environment, self-regulation, and the purpose and type of content consumption to build a more comprehensive academic achievement prediction model.
Co-Authors Ardiansyah, Moch. Anang Faiza, Dafina Nur Febrianti, Miranda Dwi Haddad, Suci Wahyuni Hamidah, Atika Rosidah Kamilah, Faniah Iftitakhul Kurniawan, Rendi Eko Listyaningsih, Divita Aulia Novitasari, Fadila Octavia, Amallia Putri Palupi, Nasyiwa Ega Pratiwi, Galuh Rastika Qorina, Alfa Rahayuningrum, Lina Madyastuti Rahmadhani, Siti Aulia Rahmadini, Anindhita Rahmawati, Cahya Dwi Rahmawati, Eliya Ridla, Abdilbar Ainur Rochman, Muhammad Zaini Rosyid, Mohammad Abdul Rusanti, Lia Dwi Wicaksono, Raka Tegar Zulatifa, Nelani Shafatia