Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Sistem Informasi dan Informatika (SIMIKA)
Deli
International University of Batam
Computer Science & IT Control & Systems Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
MACHINE LEARNING-BASED ASSESSMENT OF SKINCARE PRODUCT VALUE FOR MONEY USING CUSTOMER REVIEWS Suwarno; Deli; Devina Benhans
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 9 No. 2 (2026): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v9i2.4620

Abstract

Skincare products play an important role in personal care and consumer satisfaction. However, the wide variety of products and price ranges often makes it difficult for consumers to assess whether a product offers good Value for Money. This study proposes a machine learning approach to evaluate the Value for Money of skincare products using customer reviews from the Sephora platform. Review texts were preprocessed using Natural Language Processing (NLP) techniques, including lowercasing, tokenization, stopword removal, and lemmatization. Text features were extracted with TF-IDF and combined with product price, helpfulness score, and sentiment score. Support Vector Machine (SVM) and Logistic Regression were compared for classification, while SMOTE was applied to address class imbalance. Both models achieved similar performance, with an accuracy of 0.76, a macro-average F1-score of 0.70, and a weighted-average F1-score of 0.78. The results indicate that combining customer reviews with product-related features can effectively assess Value for Money and support consumers in making better purchasing decisions.
Co-Authors Devina Benhans Suwarno