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Vol. 4 No. 3 (2023) • Articles
Open Access

PENERAPAN ALGORITMA TF-IDF DAN NAÏVE BAYES UNTUK ANALISIS SENTIMEN BERBASIS ASPEK ULASAN APLIKASI FLIP PADA GOOGLE PLAY STORE

Sheva Aditya Helmayanti
Universitas Telkom
Faqih Hamami
Universitas Telkom
Riska Yanu Fa’rifah
Universitas Telkom
Published: September 10, 2023 Pages: 1822-1834
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Abstract

The development of the internet has changed people's lifestyle with the existence of FinTech. One of the popular FinTech innovations is the Flip digital wallet application. In this study, aspect-based sentiment analysis was carried out on Flip user reviews using the naive bayes algorithm. The test results show high accuracy, with an average accuracy of 0.84. The naive bayes algorithm is effective in classifying user reviews based on aspects of speed, security, and cost, with accuracies of 0.80, 0.87, and 0.84, respectively. This research provides important insights for service providers to improve service performance and innovation. The labelling data generated the most sentiment 0 (no sentiment), followed by sentiment 1 (positive) and 2 (negative). Negative sentiments have a high frequency on speed and security aspects, while positive sentiments have a high frequency on cost aspects. Thus, improvements are needed to the security system and speed of the Flip application to increase user satisfaction in these aspects. The naive bayes algorithm can be a useful tool in processing review data on e-wallet applications and similar services.

Keywords:
Fintech E-Wallet ABSA Naïve Bayes Reviews
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Author Biographies
Sheva Aditya Helmayanti Universitas Telkom

Program Studi Sistem Informasi, Universitas Telkom, Kota Bandung, Provinsi Jawa Barat, Indonesia

Faqih Hamami Universitas Telkom

Program Studi Sistem Informasi, Universitas Telkom, Kota Bandung, Provinsi Jawa Barat, Indonesia

Riska Yanu Fa’rifah Universitas Telkom

Program Studi Sistem Informasi, Universitas Telkom, Kota Bandung, Provinsi Jawa Barat, Indonesia

How to Cite
Helmayanti, S. A., Hamami, F., & Fa’rifah, R. Y. (2023). PENERAPAN ALGORITMA TF-IDF DAN NAÏVE BAYES UNTUK ANALISIS SENTIMEN BERBASIS ASPEK ULASAN APLIKASI FLIP PADA GOOGLE PLAY STORE. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 4(3), 1822-1834. https://doi.org/10.35870/jimik.v4i3.415
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