PENGARUH INTENSITAS PENGGUNAAN TIKTOK TERHADAP KONSENTRASI BELAJAR MAHASISWA
DOI:
https://doi.org/10.62671/suliwa.v3i3.353Keywords:
TikTok, usage intensity, learning concentration, university students, short-form videoAbstract
Intensive TikTok use is often assumed to undermine students' ability to concentrate, yet inferential evidence from Indonesia remains limited. This study describes TikTok usage intensity and learning concentration among university students and examines the former's statistical effect on the latter. An online cross-sectional survey (13–14 October 2026) analysed 66 TikTok-using university students from 75 responses. Usage intensity (four indicators, six items; α = 0.80) and learning concentration (four indicators; five of six items scored after one item was dropped for a negative corrected item–total correlation; α = 0.69) were scored on a 1–5 scale; both were moderate (M = 3.08, SD = 0.70; M = 3.38, SD = 0.62). Simple linear regression showed a significant negative effect of usage intensity on learning concentration (B = −0.50, 95% CI [−0.68, −0.32], β = −0.57, p < .001, R² = 0.32); bootstrap and Spearman estimates agreed. However, the association weakened when only concentration items not mentioning TikTok were used (r = −0.33, R² = 0.11) and centred on losing concentration and TikTok-related distraction rather than general focus or comprehension. Given the cross-sectional design, self-reported measures, and non-probability sample, the findings indicate a statistical association, not causation. Managing TikTok use during study time is a sensible intervention target; future studies should use validated measures and longitudinal designs.
References
Alfatih, M. F., Nashwandra, N. B., Nugraha, N. I., Banyubasa, A., Simangunsong, G. A., Barus, I. R. G., & Fami, A. (2024). The influence of TikTok short-form videos on attention span and study habits of students in College of Vocational Studies IPB University. EduTech: Jurnal Teknologi Pendidikan, 23(2), 202–212. https://doi.org/10.17509/e.v23i2.69229
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Dimyati, & Mudjiono. (2013). Belajar dan pembelajaran. Rineka Cipta.
Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook "friends": Social capital and college students' use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168.
Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25 (9th ed.). Badan Penerbit Universitas Diponegoro.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Junco, R., & Cotten, S. R. (2012). No A 4 U: The relationship between multitasking and academic performance. Computers & Education, 59(2), 505–514.
Kahneman, D. (1973). Attention and effort. Prentice-Hall.
Leroy, S. (2009). Why is it so hard to do my work? The challenge of attention residue when switching between work tasks. Organizational Behavior and Human Decision Processes, 109(2), 168–181.
Liu, Y., Ni, X., & Niu, G. (2021). Perceived stress and short-form video application addiction: A moderated mediation model. Frontiers in Psychology, 12, Article 747656.
Mark, G., Gudith, D., & Klocke, U. (2008). The cost of interrupted work: More speed and stress. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 107–110). ACM.
Montag, C., Yang, H., & Elhai, J. D. (2021). On the psychology of TikTok use: A first glimpse from empirical findings. Frontiers in Public Health, 9, Article 641673.
Ophir, E., Nass, C., & Wagner, A. D. (2009). Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences, 106(37), 15583–15587.
Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105–114.
Qin, Y., Omar, B., & Musetti, A. (2022). The addiction behavior of short-form video app TikTok: The information quality and system quality perspective. Frontiers in Psychology, 13, Article 932805.
Slameto. (2010). Belajar dan faktor-faktor yang mempengaruhinya. Rineka Cipta.
Steel, P. (2007). The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133(1), 65–94.
Sugiyono. (2019). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.
Ward, A. F., Duke, K., Gneezy, A., & Bos, M. W. (2017). Brain drain: The mere presence of one's own smartphone reduces available cognitive capacity. Journal of the Association for Consumer Research, 2(2), 140–154.
We Are Social. (2025, November). Digital 2026: Top digital and social media trends in Indonesia. https://wearesocial.com/id/blog/2025/11/digital-2026-top-digital-and-social-media-trends-in-indonesia/
Xie, J., Xu, X., Zhang, Y., Tan, Y., Wu, D., Shi, M., & Huang, H. (2023). The effect of short-form video addiction on undergraduates' academic procrastination: A moderated mediation model. Frontiers in Psychology, 14, Article 1298361.
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