Pendekatan Teori Himpunan untuk Pemetaan Segmentasi Minat Pengguna pada Algoritma For You Page (FYP) TikTok
DOI:
https://doi.org/10.23969/jp.v11i03.57748Keywords:
Set Theory, Interest Segmentation, TikTok Algorithm, For You Page (FYP), Literature ReviewAbstract
The massive growth of the TikTok platform is driven by the sophistication of its For You Page (FYP) algorithm, which performs real-time, interest-based content personalization. This phenomenon creates complexity in audience segmentation due to the high overlap of preferences among users. This study aims to formulate a logical-mathematical framework using Set Theory as a formal instrument to identify, map, and analyze the relationships between TikTok user interest segments through a literature review method. The modeling results show that the concepts of universal set, subset, and basic operations such as intersection, union, difference, complement, and cardinality can be effectively transformed into a precise audience segmentation model. The intersection operation identifies niche audiences, the union operation maps the accumulation of broad market reach, and the difference operation functions as an exclusion-list filtering mechanism. This study contributes theoretically through an interdisciplinary synthesis between discrete mathematics and social communication science, and practically as a strategic guide for digital marketers and content creators optimizing message-distribution targeting on social media.
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Aeni, S. Q., Mutmainah, Tzanisa, K., & Sulistyani, A. (2025). Penguatan kemampuan kuantitatif dalam komunikasi dakwah: Urgensi matematika dalam kurikulum Prodi KPI. Trigonometri: Jurnal Matematika dan Ilmu Pengetahuan Alam, 7(2).
Boeker, M., & Urman, A. (2022). An empirical investigation of personalization factors on TikTok. Proceedings of the ACM Web Conference 2022 (WWW ’22), 2298–2309. https://doi.org/10.1145/3485447.3512102
Hruschka, H. (1986). Market definition and segmentation using fuzzy clustering methods. International Journal of Research in Marketing, 3(2), 117–134. https://doi.org/10.1016/0167-8116(86)90015-7
Itsnaini, W., Tzanisa, K., Madania, I., Rihhadatul ‘Aisy, R., Yazid, M. A., & Sulistyani, A. (2025). Peran literasi digital di era Artificial Intelligence terhadap kualitas pembelajaran mahasiswa: Studi pustaka. Pendas: Jurnal Ilmiah Pendidikan Dasar, 10(4), 324–339.
Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in social media research: Past, present and future. Information Systems Frontiers, 20(3), 531–558. https://doi.org/10.1007/s10796-017-9810-y
Klug, D., Qin, Y., Evans, M., & Kaufman, G. (2021). Trick and please: A mixed-method study on user assumptions about the TikTok algorithm. Proceedings of the 13th ACM Web Science Conference 2021 (WebSci ’21), 84–92. https://doi.org/10.1145/3447535.3462512
Munir, R. (2020). Matematika Diskrit (Edisi Revisi Ketujuh). Bandung: Informatika.
Rihhadatul ‘Aisy, R., Al Hafidh, M. N., Awaliyah, Y., & Sulistyani, A. (2025). Respon mahasiswa Komunikasi dan Penyiaran Islam terhadap pengintegrasian matematika dalam pembelajaran: Studi literatur multi-kampus. Trigonometri: Jurnal Matematika dan Ilmu Pengetahuan Alam, 7(2).
Rosen, K. H. (2019). Discrete Mathematics and Its Applications (8th ed.). New York: McGraw-Hill Education.
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