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All Journal Bulletin of Network Engineer and Informatics (BUFNETS)
Re Intan Maharani
Universitas Dharma Wacana
Computer Science & IT

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Analysis of Consumer Sentiment Tendency Towards Skintific Products on E-Commerce Tokopedia Using the VADER Method Ridwan Yusuf; Re Intan Maharani
Bulletin of Network Engineer and Informatics Vol. 4 No. 2 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) October 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/vh3rkf82

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.
Co-Authors Ridwan Yusuf