ANALISIS SENTIMEN TERHADAP APLIKASI LINKAJA MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

Authors

  • Marheni Sitepu Universitas Methodist Indonesia
  • Margaretha Yohanna Universitas Methodist Indonesia
  • Samuel Van Basten H. Manurung Universitas Methodist Indonesia

DOI:

https://doi.org/10.46880/jmika.Vol8No1.pp44-50

Keywords:

Naïve Bayes Classifier, Sentiment Analysis, LinkAja

Abstract

Electronic money is increasing, causing more and more service innovations to emerge. People carry out online transactions using electronic technology, or Fintech. The fintechs widely used today are e-wallets or digital wallets such as Dana, Ovo, LinkAja, etc. In this research, LinkAja as a fintech application will be analyzed using 100 review data samples and summarized into two classes: positive and negative. This research was carried out using the Naïve Bayes Classifier classification method. Sentiment analysis of reviews on the LinkAja application obtained results of 75% accuracy, 83% Precision, 75% Recall, and 73% F1_score.

Downloads

Published

2024-04-30

Issue

Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi

Section

METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi

License

Copyright (c) 2024 Marheni Sitepu, Margaretha Yohanna, Samuel Van Basten H. Manurung

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.