article
Open access
ANALISIS SENTIMEN TERHADAP APLIKASI LINKAJA MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER
Research footprint
At a glance
- Citations
- 0
- References
- 0
- Comments
- 0
Paper overview
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.
Record transparency
Publication details
- DOI
- 10.46880/jmika.vol8no1.pp44-50
- OpenAlex
- W4401709213
- Document type
- article
- Language
- EN
- Source
- METHOMIKA Jurnal Manajemen Informatika dan Komputerisasi Akuntansi
- Last metadata update
Comments
Log in to join the discussion.