Bulletin of Network Engineer and Informatics (BUFNETS)
Vol. 4 No. 2 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) October 2026

Analysis of Consumer Sentiment Tendency Towards Skintific Products on E-Commerce Tokopedia Using the VADER Method

Ridwan Yusuf (Universitas Dharma Wacana)
Re Intan Maharani (Universitas Dharma Wacana)



Article Info

Publish Date
15 Oct 2026

Abstract

The development of e-commerce has made consumer reviews a valuable source of information for producers. This study analyzes consumer sentiment toward Skintific products on Tokopedia using the VADER method. Data were collected through web scraping and produced 2,144 reviews that were processed through data cleaning, text conversion, stopword removal, stemming, and translation into English. The Sentiment Intensity Analyzer from VADER classified the reviews into positive, neutral, and negative sentiments. The results show a dominance of positive sentiment at 91.7%, followed by neutral at 6.9%, and negative at 1.4%. Data visualization reveals aspects valued by consumers, such as packaging, price, and delivery speed. This study confirms the effectiveness of the VADER method in sentiment analysis of consumer reviews and provides insights for producers in improving marketing strategies and product quality.

Copyrights © 2026






Journal Info

Abbrev

bufnets

Publisher

Subject

Computer Science & IT

Description

The Journal invites original articles and is not simultaneously submitted to another journal or conference. Scopes: Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Computer Graphics, Virtual Reality, ...