Published: 2024-04-01

Analisis Sentimen Ulasan Aplikasi Smart Campus Unisbank di Google Playstore Menggunakan Algoritma Naive Bayes

DOI: 10.35870/jtik.v8i2.1882

Dwi Rahma Firmansyah, Endang Lestariningsih
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Abstract

This study explores sentiment analysis on SmartCampus Unisbank application reviews on Google Play Store using the Naive Bayes classification method. Through Python programming language and web scraping techniques employing the google-play-scraper library, review data was automatically obtained and organized in CSV format. Text preprocessing techniques such as case folding, stopwords removal, tokenization, and stemming were applied to ensure accurate analysis. The data was divided into training and testing sets, and TF-IDF (Term Frequency-Inverse Document Frequency) was used for feature extraction. A Naive Bayes model was constructed and evaluated, achieving an accuracy of 84.6%. While the model demonstrated proficiency in identifying negative sentiments with 100% precision, it requires refinement for recognizing positive sentiments. These findings provide valuable insights for SmartCampus Unisbank developers to understand user perspectives and improve application quality

Keywords

Naive Bayes ; Python ; Smartcampus ; Preprocessing ; TF-IDF

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Firmansyah, D. R., & Lestariningsih, E. (2024). Analisis Sentimen Ulasan Aplikasi Smart Campus Unisbank di Google Playstore Menggunakan Algoritma Naive Bayes. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 8(2), 498-507. https://doi.org/10.35870/jtik.v8i2.1882
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 8 No. 2 (2024)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2024

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Author Biographies
Dwi Rahma Firmansyah
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Stikubank, Kota Semarang, Provinsi Jawa Tengah, Indonesia

Endang Lestariningsih
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Stikubank, Kota Semarang, Provinsi Jawa Tengah, Indonesia

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