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All Journal Jurnal Komputer dan Teknologi (JUKOMTEK)
Nurkhafitri Sahra
universitas muhammadiyah kolaka utara
Computer Science & IT Library & Information Science

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ANALISIS SENTIMEN ULASAN SHOPEE DI PLAY STORE DENGAN NAIVE BAYES: Sentiment Analysis of Shopee Reviews on the Play Store Using Naive Bayes Muh Arfah Wahlil Pratama; Suriyadi Suriyadi; Nurjaya Nurjaya; Haldi Alfaisal; Melni Melni; Andi Nurwafia; Nurkhafitri Sahra; Asya Syara Marzan; Arman Rusdin; Dirgasari Dirgasari
Jurnal Komputer dan Teknologi Vol 5 No 2 (2026): JUKOMTEK JULI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i2.710

Abstract

This study evaluates user sentiments towards the Shopee application on the Google Play Store using a dataset of 1,000 crawled reviews. Preprocessing methods including cleaning, normalization, stopword filtering, and stemming were conducted, followed by feature weighting using TF-IDF. The classification model based on the Naive Bayes Classifier yielded an overall accuracy of 84.5%, with a precision of 85.2%, recall of 83.8%, and F1-score of 84.5%. The analysis suggests that shipping promotions are the main drivers of positive sentiment, while post-update app performance drops and payment errors trigger negative reviews.
Co-Authors Andi Nurwafia Arman Rusdin Asya Syara Marzan Dirgasari Dirgasari Haldi Alfaisal Melni Melni Muh Arfah Wahlil Pratama Nurjaya Nurjaya Suriyadi Suriyadi