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

doi:10.64626/jukomtek.v5i2.710

Penulis

Muh Arfah Wahlil Pratama universitas muhammadiyah kolaka utara
Suriyadi Suriyadi Universitas Muhammadiyah Kolaka Utara
Nurjaya Nurjaya Universitas Muhammadiyah Kolaka Utara
Haldi Alfaisal universitas muhammadiyah kolaka utara
Melni Melni universitas muhammadiyah kolaka utara
Andi Nurwafia universitas muhammadiyah kolaka utara
Nurkhafitri Sahra universitas muhammadiyah kolaka utara
Asya Syara Marzan universitas muhammadiyah kolaka utara
Arman Rusdin universitas muhammadiyah kolaka utara
Dirgasari Dirgasari universitas muhammadiyah kolaka utara

DOI:

https://doi.org/10.64626/jukomtek.v5i2.710

Kata Kunci:

Sentiment Analysis, NLP, Naive Bayes Classifier, Shopee, Play Store

Abstrak

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.

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