AI-DRIVEN PERSONALIZATION PADA CUSTOMER ENGAGEMENT: STUDI PADA SOCIAL COMMERCE TIKTOK DI PONOROGO
NAHWA, ELDA (2026) AI-DRIVEN PERSONALIZATION PADA CUSTOMER ENGAGEMENT: STUDI PADA SOCIAL COMMERCE TIKTOK DI PONOROGO. S1 thesis, Universitas Muhammadiyah Ponorogo.
SURAT PERSETUJUAN UNGGAH KARYA ILMIAH.pdf
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Abstract
This study aims to determine the influence of AI-driven personalization, comprising content personalization, product recommendation personalization, and interaction personalization, on customer engagement among TikTok users, specifically Gen Z in Ponorogo. The study is motivated by the increasing use of artificial intelligence technology in digital marketing strategies that focus on personalizing the user experience. A quantitative approach with a questionnaire survey was employed. Data were collected by distributing questionnaires to 150 respondents who are Gen Z users of the TikTok platform in Ponorogo. The data analysis technique used was multiple linear regression via the SPSS software. The results indicate that content personalization, product recommendation personalization, and interaction personalization each have a positive and significant partial effect on customer engagement. Among the variables, content personalization has the most dominant influence compared with the others. Based on these results, it can be concluded that AI-driven personalization on TikTok plays a crucial role in enhancing customer engagement, especially through content personalization that aligns with users’ preferences.
| Dosen Pembimbing: | FERY, SETIAWAN and DIANA, PRAMUDYA | 0720128904, 0709048305 |
|---|---|
| Item Type: | Thesis (S1) |
| Uncontrolled Keywords: | AI-driven personalization, content personalization, product recommendation personalization, interaction personalization, customer engagement |
| Subjects: | H Social Sciences > HF Commerce |
| Divisions: | Faculty of Economic > Department of Management |
| Depositing User: | Elda Nahwa Firdausy |
| Date Deposited: | 27 Jul 2026 02:03 |
| Last Modified: | 27 Jul 2026 02:03 |
| URI: | https://eprints.umpo.ac.id/id/eprint/19597 |
