ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI GOOGLE PLAY MENGGUNAKAN NAÏVE BAYES

Andriani Nurian

Abstract


In today's digital era, mobile applications are increasingly popular and their use is increasing, so it is important to understand user satisfaction and dissatisfaction in using these applications. One of the most popular mobile applications in Indonesia is the Dana application, which provides various financial services such as bill payments, money transfers, investments, and so on. Sentiment analysis of Dana application reviews on the Google Play Store was carried out using the Naive Bayes algorithm classification method. The purpose of this analysis is to understand user opinions and views on the Dana application, as well as provide input for developers in improving the quality of services and features provided. The results of the analysis show that the majority of users give positive reviews of the Dana application with a percentage of around 60%, while only around 12% have negative reviews, and around 28% have neutral reviews. From the results of this analysis, it can be concluded that the Dana application has received a positive response from users on the Google Play Store. However, there are still a small number of negative reviews which can be input for developers to improve the quality of services and features provided by the Dana application.

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References


N. Agustina, D. H. Citra, W. Purnama, C. Nisa, and A. R. Kurnia, “Implementasi Algoritma Naive Bayes untuk Analisis Sentimen Ulasan Shopee pada Google Play Store,” MALCOM Indones. J. Mach. Learn. Comput. Sci., vol. 2, no. 1, pp. 47–54, 2022, doi: 10.57152/malcom.v2i1.195.

S. Rahayu, Y. MZ, J. E. Bororing, and R. Hadiyat, “Implementasi Metode K-Nearest Neighbor (K-NN) untuk Analisis Sentimen Kepuasan Pengguna Aplikasi Teknologi Finansial FLIP,” Edumatic J. Pendidik. Inform., vol. 6, no. 1, pp. 98–106, 2022, doi: 10.29408/edumatic.v6i1.5433.

E. S. Basryah, A. Erfina, and C. Warman, “Analisis Sentimen Aplikasi Dompet Digital Di Era 4.0 Pada Masa Pendemi Covid-19 Di Play Store Menggunakan Algoritma Naive Bayes Classifier,” SISMATIK (Seminar Nas. Sist. Inf. dan Manaj. Inform. Univ., vol. 1, no. 1, pp. 189–196, 2021.

A. O. Permana et al., “Jurnal Computer Science and Information Technology ( CoSciTech ) Comparison of the K-Nearst Neighbor and Naïve Bayes Algorithms on the Sentiment Analysis Shopee Application,” vol. 4, no. 1, pp. 25–32, 2023.

Y. Harfian, “Klasifikasi sentimen aplikasi dompet digital DANA pada komentar di Instagram menggunakan metode Naive Bayes Classifier,” Tugas Akhir UIN, 2021.

A. Athallah Muhammad et al., “ANALISIS SENTIMEN PENGGUNA APLIKASI DANA BERDASARKAN ULASAN PADA GOOGLE PLAY MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Prodi S1 Informatika / Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jakarta,” pp. 194–204, 2022.

B. Filemon, V. C. Mawardi, and N. J. Perdana, “Penggunaan Metode Support Vector Machine Untuk Klasifikasi Sentimen E-Wallet,” J. Ilmu Komput. dan Sist. Inf., vol. 10, no. 1, 2022, doi: 10.24912/jiksi.v10i1.17824.

G. P. Kawani, “Implementasi Naive Bayes,” J. Informatics, Inf. Syst. Softw. Eng. Appl., vol. 1, no. 2, pp. 73–81, 2019, doi: 10.20895/inista.v1i2.73.

A. I. Tanggraeni and M. N. N. Sitokdana, “Analisis Sentimen Aplikasi E-Government pada Google Play Menggunakan Algoritma Naïve Bayes,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 9, no. 2, pp. 785–795, 2022, doi: 10.35957/jatisi.v9i2.1835.

P. Aditiya, U. Enri, and I. Maulana, “Analisis Sentimen Ulasan Pengguna Aplikasi Myim3 Pada Situs Google Play Menggunakan Support Vector Machine,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 4, p. 1020, 2022, doi: 10.30865/jurikom.v9i4.4673.

D. G. Nugroho, Y. H. Chrisnanto, and A. Wahana, “Analisis Sentimen Pada Jasa Ojek Online ... (Nugroho dkk.),” pp. 156–161, 2015.

A. K. Dewi, “Analisis Sentimen Ekspedisi Sicepat Dari Ulasan Google Play Mennggunakan Algoritma Naïve Bayes,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 9, no. 2, pp. 796–805, 2022, doi: 10.35957/jatisi.v9i2.1802.

M. Diki Hendriyanto, A. A. Ridha, and U. Enri, “Analisis Sentimen Ulasan Aplikasi Mola Pada Google Play Store Menggunakan Algoritma Support Vector Machine Sentiment Analysis of Mola Application Reviews on Google Play Store Using Support Vector Machine Algorithm,” J. Inf. Technol. Comput. Sci., vol. 5, no. 1, pp. 1–7, 2022.

N. D. Abrilia and S. Tri, “Pengaruh Persepsi Kemudahan Dan Fitur Layanan Terhadap Minat Menggunakan E-Wallet Pada Aplikasi Dana Di Surabaya,” J. Pendidik. Tata Niaga, vol. 8, no. 3, pp. 1006–1012, 2020.




DOI: http://dx.doi.org/10.23960/jitet.v11i3s1.3348

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