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All Journal Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi (JIKOMTI)
Dea Pebriyana Nurazizah
Sekolah Tinggi Teknologi Cipasung
Computer Science & IT

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Klasterisasi Sentimen pada Ulasan Aplikasi LINE Bank menggunakan Algoritma K-Means Clustering Raina Radiatussiva; Dea Pebriyana Nurazizah; Biaz Prasastha Dwisukma
JIKOMTI : Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi Vol. 3 No. 1 (2026): JIKOMTI: MEI 2026
Publisher : Universitas Sains Indonesia Publishing

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Abstract

Financial digital banking applications have become an integral part of daily life. One of the digital banking applications widely used by the public is LINE Bank. This study aims to analyze user sentiment based on reviews of the LINE Bank application available on the Google Play Store platform. The data were collected using a web scraping technique from user reviews on Google Play Store. The analysis method employed in this study is K-Means Clustering with Term Frequency–Inverse Document Frequency (TF-IDF) as the weighting method. The clustering process is expected to group user reviews based on sentiment tendencies and identify dominant issues experienced by users. The results of this study can be used as evaluation material for application developers to improve service quality and enhance user satisfaction.
Co-Authors Biaz Prasastha Dwisukma Raina Radiatussiva