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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Online Mahasiswa (JOM) Bidang Pertanian Jurnal Ushuluddin Jurnal An-Nur Jurnal Ilmiah Mahasiswa Fakultas Ilmu Sosial & Ilmu Politik JURTEKSI JOURNAL OF INFORMATICS AND COMPUTER SCIENCE AVERROUS: Jurnal Kedokteran dan Kesehatan Malikussaleh JIEP: Jurnal Ilmu Ekonomi dan Pembangunan EL-MAQALAH: Journal of Arabic Language Teaching and Linguistics Jurnal Ilmiah Wahana Pendidikan International Journal of Educational Review, Law And Social Sciences (IJERLAS) Jurnal Penelitian Geografi (JPG) PEKBIS Abdimas Indonesian Journal International Journal of Information Technology and Computer Science Applications (IJITCSA) OKTAL : Jurnal Ilmu Komputer dan Sains Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis Siyasah Wa Qanuniyah: Jurnal Ilmiah Ma'had Aly Raudhatul Ma'arif Tabayyun : Journal of Islamic Studies Jurnal Pendidikan Penggerak JIEP: Jurnal Ilmu Ekonomi dan Pembangunan
Muhammad Yasir
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : International Journal of Information Technology and Computer Science Applications (IJITCSA)

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Sentiment Analysis of the Use of Digital Banking Service Applications On Google Play Store Reviews Using Naïve Bayes Method Amalia Nur Soliha; Tb Ai Munandar; Muhammad Yasir
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 3 (2023): September - December 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v1i3.40

Abstract

The development of the financial system is characterized by the emergence of digital banking service applications that are widely circulated and can be accessed for free. With so many applications, users often feel confused in choosing which applications are safe to use. Before downloading an application on the Google Play Store, users will usually look at ratings and reviews first. However, the title of the best application cannot be pinned if only seen from the rating and number of downloads. This research was conducted to analyze sentiment on user reviews of digital banking service applications on the Google Play Store using the NBC (Naïve Bayes Classifier) method. Research using the NBC algorithm produced an accuracy value of 81% on the classification of Allo Bank reviews and 78% on the classification of Line Bank reviews
Co-Authors Adi Muhajirin Alwi Setiawati Amalia Nur Soliha Andy Achmad Hendharsetiawan Aries Saifudin Azwir Azwir Balqis Vifania Darwin H. Pangaribuan Dwipa Handayani Erlida Ariani Fani Tahria Fried Sinlae Gusnardi Gusnardi Hamdani M,Syam Handro Kurnia Sitorus Hapzi Ali Khantaqwa Amri Mahdiyana Mahdiyana Maulidatun Rahmi Muammar Khadafi Muhamad Zein Akbar Muhammad Saleh Muhammad Saleh Nabila Mahrani Noviana Zara Novisha Kurnia Utami Nurul Fadillah Rakhmawati, Fibri Rora Rizky Wandini Siregar, Zufri Hasrudy Siti Nurhalizah Suarman Suarman Sudarmi Sudarmi Tb Ai Munandar Usiono Usiono Zulhelmi Zulkarnain Zulkarnain Zulkhairi