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ANALISIS SENTIMEN TERHADAP APLIKASI LINKAJA MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

  • METHOMIKA Jurnal Manajemen Informatika dan Komputerisasi Akuntansi
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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.

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DOI
10.46880/jmika.vol8no1.pp44-50
OpenAlex
W4401709213
Document type
article
Language
EN
Source
METHOMIKA Jurnal Manajemen Informatika dan Komputerisasi Akuntansi
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