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All Journal JISKa (Jurnal Informatika Sunan Kalijaga)
Asep Hendra
Universitas Adhirajasa Reswara Sanjaya
Computer Science & IT Electrical & Electronics Engineering Library & Information Science

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Analisis Sentimen Review Halodoc Menggunakan Nai ̈ve Bayes Classifier Asep Hendra; Fitriyani Fitriyani
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 2 (2021): Mei 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.13 KB) | DOI: 10.14421/jiska.2021.6.2.78-89

Abstract

Healthcare service has the role to help and serve people to access medical services, i.e. providing medicines, medical consultation, or health control. Healthcare service has been transforming to a digital platform. Halodoc is one of the digital platforms that people can use for free or paid, user can also give reviews of Halodoc’s performance and services on Google Play Store to give feedback that Halodoc can use to evaluate and improve the app. The Google Play Store review is increasing every day. Therefore an analysis for the review with sentiment analysis for Halodoc’s review is needed, first phase of sentiment analysis for the review is preprocessing which has tokenization, transform to lower cases, filter stopword, dan filter token (by length) processes. The data is divided into two positive and negative classes with cross-validation and a k-fold validation value of 10, using Naïve Bayes Classifier algorithm with 81,68% accuracy and AUC 0.756, categorized as fair classification.
Co-Authors Fitriyani Fitriyani