TikTok User Sentiments: Uncovering Perceptions of Cash on Delivery Method in E-Commerce

Authors

  • Ahmad Tibrizi Soni Wicaksono Universitas Negeri Malang
  • Sudarmiatin Sudarmiatin Universitas Negeri Malang
  • Heri Pratikto Universitas Negeri Malang

DOI:

https://doi.org/10.55927/eajmr.v5i5.126

Keywords:

Public Sentiment, Social Media Analysis, Perception, COD, E-Commerce, NLP

Abstract

This study aims to reveal public sentiment regarding the use of the Cash on Delivery (COD) payment system on e-commerce platforms. The study employs a Natural Language Processing (NLP) approach by utilizing Word Cloud analysis and Sentiment Score analysis based on 1,023 comments from 12 TikTok contents discussing COD. The results of the study show a dominance of negative sentiment, covering 86.37%. Meanwhile, positive sentiment only reaches 13.63%. The public perceives that COD cannot facilitate transactions between sellers and buyers effectively and instead creates various problems. This study has implications for providing insights to e-commerce platforms to strengthen the COD protocol system by taking negative sentiment into account. The limitations of this study include the scope of social media users being limited to TikTok, it is hoped that future research can accommodate the perceptions of all social media users regarding the COD system phenomenon on E-Commerce platforms.

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Published

2026-05-29

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