Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop

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 extr...

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Main Authors: Muhammad Aryanda, Ita Arfyanti, Yulindawati Yulindawati
Format: Article
Language:English
Published: LPPM STIKI Malang 2025-06-01
Series:J-Intech (Journal of Information and Technology)
Subjects:
Online Access:https://jurnal.stiki.ac.id/J-INTECH/article/view/1893
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author Muhammad Aryanda
Ita Arfyanti
Yulindawati Yulindawati
author_facet Muhammad Aryanda
Ita Arfyanti
Yulindawati Yulindawati
author_sort Muhammad Aryanda
collection DOAJ
description 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.
format Article
id doaj-art-2e272295606d4d338e97ed49597463ea
institution OA Journals
issn 2303-1425
2580-720X
language English
publishDate 2025-06-01
publisher LPPM STIKI Malang
record_format Article
series J-Intech (Journal of Information and Technology)
spelling doaj-art-2e272295606d4d338e97ed49597463ea2025-08-20T02:35:21ZengLPPM STIKI MalangJ-Intech (Journal of Information and Technology)2303-14252580-720X2025-06-01130110.32664/j-intech.v13i01.1893Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore ShopMuhammad Aryanda0Ita Arfyanti1Yulindawati Yulindawati2STMIK Widya Cipta Dharma, IndonesiaSTMIK Widya Cipta Dharma, IndonesiaSTMIK Widya Cipta Dharma, Indonesia 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. https://jurnal.stiki.ac.id/J-INTECH/article/view/1893Customer ReviewsK-Nearest Neighbor (K-NN)MSMENatural Language Processing (NLP)Sentiment AnalysisTF-IDF
spellingShingle Muhammad Aryanda
Ita Arfyanti
Yulindawati Yulindawati
Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop
J-Intech (Journal of Information and Technology)
Customer Reviews
K-Nearest Neighbor (K-NN)
MSME
Natural Language Processing (NLP)
Sentiment Analysis
TF-IDF
title Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop
title_full Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop
title_fullStr Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop
title_full_unstemmed Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop
title_short Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop
title_sort application of k nearest neighbor algoritma for customer review sentiment analysis at ngeboel vapestore shop
topic Customer Reviews
K-Nearest Neighbor (K-NN)
MSME
Natural Language Processing (NLP)
Sentiment Analysis
TF-IDF
url https://jurnal.stiki.ac.id/J-INTECH/article/view/1893
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