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All Journal Media Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Ketahanan Nasional Journal of Information Systems Engineering and Business Intelligence Syntax Literate : Jurnal Ilmiah Indonesia Indonesian Journal of Statistics and Its Applications Zeta - Math Journal J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika JCRS (Journal of Community Research and Service) Contemporary Mathematics and Applications (ConMathA)
Nur Chamidah
Departement Of Mathematics, Faculty Of Science And Technology, Airlangga University
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Social Sciences Other

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Journal : Syntax Literate : Jurnal Ilmiah Indonesia

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Sentiment Analysis of User Reviews Based On Naïve Bayes Classifier Algorithm with Hyperparameter Optimization: A Case Study On Application "Kredit Pintar" Salsabylla Nada Apsariny; Sediono Sediono; Nur Chamidah; Elly Ana; Ardi Kurniawan
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : CV. Ridwan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.598 KB) | DOI: 10.36418/syntax-literate.v7i1.6012

Abstract

The development of information and communication technology makes it easy for people to take advantage of their sophistication in various sectors, especially industry and the economy. However, due to the Covid-19 pandemic in Indonesia, it has an impact on the socio-economic community. To meet their needs, most people use online loan platforms because they feel they have easy requirements. One of the most trusted online loan platforms and protected by the OJK is "Kredit Pintar", which is the number one platform that is most widely used by the public to borrow money in 2021. From the facts, the purpose of this research is to find out the reviews of the community of online loan application users “Kredit Pintar” through sentiment analysis based on text data in the form of public comments taken from the Google Play Store site application of “Kredit Pintar”. The data used are 1374 reviews with positive and negative class classifications. This research was conducted by using an analytical text mining method using the Naïve Bayes Classifier algorithm and applying Hyperparameter Optimization by comparing two models of GaussianNB and MultinomialNB functions by Phyton programming. The results of the classification of training and testing data show that based on performance evaluation, the best model uses the MultinomialNB function with an accuracy of 97.08% for training data and 90.54% for testing data.
Co-Authors A Meylin Achmad Yazid Busthomi Rohim Aditya Syarifudin Akbar Agnes Happy Julianto Ana, Elly Ananda Dwi Andini Sa’idah Anies Yulinda W Anisa Laila Azhar Ardi Kurniawan Ardi Kurniawan Baktiar Aris Belindha Ayu Ardhani Budi Lestari Budi Lestari D Lestari Dhyana Venosia Diah Puspita Ningrum Dita Amelia Eko Tjahjono Elly Ana Fiyadika Amalia Nurizah Azzen I Nyoman Budiantara Kinanti Hanugera Gusti Lilik Hidayati Melati Tegarina Mochamad Rasyid Aditya Putra N. A. Aprilianti Nabila Syahfitri Rahmatika Nadia Murbarani Pressylia Aluisina Putri Widyangga Reiza Sahawaly Salsabylla Nada Apsariny Sediono Sediono Suliyanto Toha Saifudin Trias Novia L. Yasmin Kamila Yolanda Swastika Yolanda Swastika Yonani