THE CORRELATION BETWEEN CONSUMPTION OF BRAIN ROT CONTENT AND STUDENTS’ LEARNING CONCENTRATION
DOI:
https://doi.org/10.26418/jurnalkpk.v9i3.105986Keywords:
Brain Rot, Learning Concentration, Social Media.Abstract
Brain rot refers to the habitual consumption of short, fast, and repetitive digital content that prioritizes entertainment over meaningful cognitive engagement. This pattern is widely found on platforms such as TikTok, YouTube Shorts, and Instagram Reels, particularly among vocational high school students. This study examines the relationship between brain rot content consumption and learning concentration at SMKN 1 Belimbing. Using a quantitative correlational design, data were collected from 150 students through validated questionnaires. Statistical analysis using the Pearson Product-Moment test showed a moderate and significant correlation between brain rot consumption and decreased learning concentration (r = 0.464, p < 0.01). The coefficient of determination (R² = 0.215) indicates that 21.5% of the variation in learning concentration is explained by students’ consumption of brain rot content. These findings demonstrate that excessive exposure to short-form entertainment content plays a meaningful role in reducing students’ ability to sustain focus. The study contributes to the growing understanding of digital behavior’s cognitive impact in vocational education and highlights the importance of digital literacy and regulated social media use. Future research should consider additional variables such as motivation, mental health, and family support to provide a more comprehensive explanation of factors influencing learning concentration.References
Alimuddin, N., & Latepo, I. (2021). A Study of University Students’ Communication Behavior in Social Media from Theory of Uses and Gratification. Journal of Humanities and Social Sciences Studies, 3(11), 122–132. https://doi.org/10.32996/jhsss.2021.1.4.11
Al-Leimon, O., Pan, W., Jaber, A. R., Rahman, A. A.-L. A., & Dardas, M. A. L. A. (2025). Reels to Remembrance: Attention Partially Mediates the Relationship Between Short-Form Video Addiction and Memory Function Among Youth. Healthcare (Switzerland), 13(3), 1–13. https://doi.org/10.3390/healthcare13030252
Broadbent, D. E., Cooper, P. F., FitzGerald, P., & Parkes, K. R. (1982). The cognitive failures questionnaire (CFQ) and its correlates. British Journal of Clinical Psychology, 21(1), 1–16. https://doi.org/10.1111/j.2044-8260.1982.tb01421.x
Brown, K. W., & Ryan, R. M. (2003). The Benefits of Being Present: Mindfulness and Its Role in Psychological Well-Being. Journal of Personality and Social Psychology, 84(4), 822–848. https://doi.org/10.1037/0022-3514.84.4.822
Central Statistics Agency. (2023). Persentase Penduduk Usia 5 Tahun Ke Atas Yang Pernah Mengakses Internet Dalam 3 Bulan Terakhir Menurut Media. https://www.bps.go.id/
Chiossi, F., Haliburton, L., Ou, C., Butz, A. M., & Schmidt, A. (2023). Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory. In Conference on Human Factors in Computing Systems, 1(1). Association for Computing Machinery. https://doi.org/10.1145/3544548.3580778
Haliti-Sylaj, T., & Sadiku, A. (2024). Impact of Short Reels on Attention Span and Academic Performance of Undergraduate Students. Eurasian Journal of Applied Linguistics, 10(3), 60–68. https://doi.org/10.32601/ejal.10306
Hamed, B. K., Ghanem, S. N., Alqarni, W. A., & Maayah, A. K. (2025). The Impact of Short-Form Videos on Some Cognitive Abilities among Saudi International School Students. International Journal of Academic Research in Progressive Education and Development, 14(1), 1181–1189. https://doi.org/10.6007/ijarped/v14-i1/24752
Harjono, Farhanah, A. A., Susilaningsih, E., & Sumarti, S. S. (2024). Exploring Work Readiness Key Factors Among Industrial Chemistry Students in Vocational High Schools. 10(1), 35–47. https://doi.org/10.33394/jk.v10i1.10564
Perez, E., Manca, S., Fernández-Pascual, R., & Mc Guckin, C. (2023). A systematic review of social media as a teaching and learning tool in higher education: A theoretical grounding perspective. Education and Information Technologies, 28(9), 11921–11950. https://doi.org/10.1007/s10639-023-11647-2
Pylväs, L., Nokelainen, P., & Rintala, H. (2022). Vocational Students’ Perceptions of Self-Regulated Learning in Work-Based VET. Vocations and Learning, 15(2), 241–259. https://doi.org/10.1007/s12186-022-09286-8
Reni, S., Asbari, M., & Ramadhan, M. B. (2024). Literaksi : Jurnal Manajemen Pendidikan Attention Economy : Smartphone dan Media Sosial Candu Manusia Modern, 2(1), 97–102. https://doi.org/10.70508/literaksi.v2i01.402
Rizki, M. Y., Rukhmana, T., Ikhlas, A., Bakti, I., Libriantono, B., & Revinzky, M. A. (2025). Pengaruh Media Sosial Terhadap konsentrasi dan Prestasi Akademik Siswa. 6, 167–186.
Santoso, I., & Rekarti, E. (2023). A Framework for Investigating Low Attention Processing of Advertising. KnE Social Sciences, 2023, 46–52. https://doi.org/10.18502/kss.v8i12.13650
Shahzad, W., Hanif, R., & Haroon, R. (2024). The Impact of Social Media Addiction on Self-Esteem, Attention Span, Sleep Quality and Phubbing Behavior. Pakistan Journal of Humanities and Social Sciences, 12(2), 2147–2155. https://doi.org/10.52131/pjhss.2024.v12i2.2362
Sriram, K. (2021). To What Extent Does Social Media Usage Impact the Ability to Delay Gratification and Attention Span of Teenagers in Mumbai?, 4(6), 167–186. https://doi.org/10.37745/bjmas.2022.0363
Sugiyono. (2010). Statistik Untuk Penelitian. CV Alfabeta.
Sujarweni, V. W. (2010). SPSS Untuk Penelitian. Pustaka Baru.
Sumaryati, I. U., Sirodj, D. A. N., & Gadama, M. (2024). Adaptasi Indonesia Bergen Social Media Addiction Scale. Journal Psikogenesis, 12(1), 10–18. https://doi.org/10.24854/jps.v12i1.3994
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, 12, 1–10. https://doi.org/10.3389/fpsyg.2023.1298361
Yan, T., Su, C., Xue, W., Hu, Y., & Zhou, H. (2024). Mobile phone short video use negatively impacts attention functions: an EEG study. Frontiers in Human Neuroscience , 18, 1–12. https://doi.org/10.3389/fnhum.2024.1383913
Yousef, A. M. F., Alshamy, A., Tlili, A., & Metwally, A. H. S. (2025). Demystifying the New Dilemma of Brain Rot in the Digital Era: A Review. Brain Sciences, 15(3). https://doi.org/10.3390/brainsci15030283
Yumaida, T. (2025). Pengaruh Penggunaan Media Sosial Terhadap Konsentrasi Belajar Mahasiswa Manajemen Universitas Teuku Umar. Indonesia Economic Jurnal, 1(2), 635–664. https://doi.org/10.63822/jd810w61
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Melyana Dewi

This work is licensed under a Creative Commons Attribution 4.0 International License.
An author who publishes in Jurnal Kajian Pembelajaran dan Keilmuan agrees to the following terms:
- Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-ShareAlike 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal
- Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgment of its initial publication in this journal.
- Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).