Purchasing Behavior Based Consumer Segmentation on TikTok Shop in Indonesia Using K-Means

  • Wulan Novita Sari Universitas Budi Luhur
  • Arief Wibowo Universitas Budi Luhur

Abstract

This study aims to analyze consumer segmentation on TikTok Shop in Indonesia based on purchasing behavior. The rapid growth of social commerce, particularly through TikTok Shop, has changed consumer shopping patterns, creating challenges for businesses in understanding diverse consumer characteristics to design effective marketing strategies.

This study uses a quantitative approach with primary data collected through questionnaires distributed to TikTok Shop users in Indonesia. The variables used include Age (X1), Purchase Frequency (X2), and Type of Product Purchased (X3). The data was analyzed using the K-Means clustering method to classify consumers into homogeneous segments. The results of the study show that TikTok Shop consumers can be grouped into several different segments with different purchasing patterns, spending levels, and product preferences. These findings have practical implications for developing targeted and personalized marketing strategies

Author Biography

Wulan Novita Sari, Universitas Budi Luhur

Magister Manajemen Universitas Budi Luhur

References

Alfitra, A., & Meiyanti, R. (2025). Comparison Of K-Means And K-Medoids Methods In Clustering High Population Density Areas In Bireuen Regency. 9(July), 292–302.

Annuar, N. S. A. & S. N. S. (2023). The Adaptation Of Social Media Marketing Activities In S-Commerce: Tiktok Shop. 15(1), 176–183.

Budi, F. S. (2025). Segmentasi Konsumen Tiktok Shop Berdasarkan Perilaku Pembelian Impulsif Menggunakan K-Means Clustering Segmentation Of Tiktok Shop Consumers Based On Impulse Buying Behavior Using K-Means Clustering. 18(2), 1–9.

Databoks, A. (2025). E-Commerce Yang Sering Diakses Masyarakat Indonesia Pada 2025. Databoks. Https://Databoks.Katadata.Co.Id/Infografik/2025/08/19/E-Commerce-Yang-Sering-Diakses-Masyarakat-Indonesia-Pada-2025

Fahrozi, A. Al, Insani, F., Budianita, E., & Afrianty, I. (2023). Implementasi Algoritma K-Means Dalam Menentukan Clustering Pada Penilaian Kepuasan Pelanggan Di Badan Pelatihan Kesehatan Pekanbaru. 1, 474–492.

Handoko, K. (2025). K-Means Clustering Menggunakan Aplikasi Rapidminer (Efitra & I. K. Sari (Eds.)). Pt. Sonpedia Publishing Indonesia. Https://Www.Google.Co.Id/Books/Edition/K_Means_Clustering_Menggunakan_Aplikasi/Dqbjeqaaqbaj?Hl=Id&Gbpv=0

Kemendag, P. (2024). Perdagangan Digital ( E-Commerce ) Indonesia Periode 2023.

Khotimah, B. K., Agustina, F., Puspitarini, O. R., Cahyani, A. D. W. I., Kustiyahningsih, Y., & Anamisa, D. R. (2024). Hyperparameters And Centroid Improvements In The K-Medoids Method For Grouping Processed Beef Smes. 1–21.

Krisnanto, K. G. (2025). Pengaruh E-Wom Dan Kualitas Website Terhadap Keputusan Pembelian Dengan Kepercayaan Sebagai Variabel Intervening Pada E-Commerce Tokopedia. Indonesia Economic Journal, 1(2), 609–634.

Laradi, S., Alrawad, M., Lutfi, A., & Agag, G. (2024). Understanding Factors Affecting Social Commerce Purchase Behavior: A Longitudinal Perspective. Journal Of Retailing And Consumer Services, 78. Https://Doi.Org/Https://Doi.Org/10.1016/J.Jretconser.2024.103751

Marsa, A., & Ritonga, H. (2025). Analisis Clustering Gaji Karyawan Menggunakan K-Means Dan Elbow Method Rumah Sakit Xyz. 1652–1660. Https://Doi.Org/10.33364/Algoritma/V.22-2.2915

Martí, R., Martínez-Gavara, A., & Corber, T. (2021). Grasp And Tabu Search For The Generalized Dispersion Problem ☆. 173. Https://Doi.Org/10.1016/J.Eswa.2021.114703

Purwatiningsih, A., & Habibi, M. (2024). Optimalisasi Analisis Data Peserta Olimpiade Sains Nasional Indonesia Menggunakan Algoritma K-Means Clustering. 14(3), 786–793.

Rafika, A., Putri, H., & Wakhidah, N. (2025). Optimization Of K-Means Clusteting With Elbow Method For Identification Of Tb Prone In Central Java. 6(1), 730–736. Https://Doi.Org/10.30596/Jcositte.V6i1.21669

Rahman, F. D., Zulfa, M. I., & Taryana, A. (2024). Clustering Dan Klasifikasi Data Cuaca Kota Cilacap Menggunakan K-Means Dan Random Forest. 1(April), 90–97. Https://Doi.Org/10.61124/Sinta.V1i2.15

Rahman, F. K. (2025). Penerapan Algoritma K-Means Clustering Pada Kondisi Mesin Screw Press.

Saputro, W., Pahlevi, M. R., Wibowo, A., Komputer, M. I., Komputer, F. I., & Luhur, U. B. (2020). Analisis Algoritma K-Means Untuk Klasterisasi Tindak Pidana K-Means Algorithm Analysis For Corruption Criminal Clasterization In Indonesia ’ S Law. 3(3), 137–142. Https://Doi.Org/10.33387/Jiko

Sonianto, & Hartono. (2025). Penerapan Algoritma K-Means Untuk Mengidentifikasi Minat Dan Bakat Siswa Sekolah Dasar. 6, 1–9.

Wongoutong, C. (2024). The Impact Of Neglecting Feature Scaling In K-Means Clustering. Plos One. Https://Doi.Org/Https://Doi.Org/10.1371/Journal.Pone.0310839

Published
2026-01-30
How to Cite
Wulan Novita Sari, & Arief Wibowo. (2026). Purchasing Behavior Based Consumer Segmentation on TikTok Shop in Indonesia Using K-Means. SEGMEN Jurnal Manajemen Dan Bisnis, 22(1), 169 - 190. https://doi.org/10.37729/segmen.v22i1.7376