Article Per Year (5 Year)
p-Index From 2020 - 2025
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All Journal J-Intech (Journal of Information and Technology)
Aryanda, Muhammad
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science

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Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop Aryanda, Muhammad; Arfyanti, Ita; Yulindawati, Yulindawati
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.1893

Abstract

This study applies the K-Nearest Neighbor (K-NN) algorithm to classify customer sentiments from online reviews about Ngeboel Vapestore, a local MSME in the vape industry. A total of 175 reviews from Google Review and Instagram were processed using standard NLP techniques and TF-IDF for feature extraction. The best K-NN model (k=3) achieved 85.4% accuracy. Although Logistic Regression achieved higher accuracy (92.6%), it failed to detect negative sentiment. The findings highlight the potential and limitations of K-NN for sentiment analysis in underexplored MSME contexts like vape retail. The study recommends further model improvements and broader MSME applications.
Co-Authors Ita Arfyanti Yulindawati, Yulindawati