ANALISIS SENTIMEN PENGGUNA DOMPET DIGITAL MENGGUNAKAN ALGORITMA MULTIVARIAT BERNOULLI (STUDI KASUS: OVO DAN GOPAY)

  • Nurmida Nainggolan Universitas Prima Indonesia
  • Benedictus Sarumaha Universitas Prima Indonesia
  • Jon Rico Lumbanbatu Universitas Prima Indonesia
  • Siti Aisyah Universitas Prima Indonesia

Abstract

This research aims to analyze user sentiment towards two leading digital wallets in Indonesia, OVO and GoPay, using the Multivariate Bernoulli algorithm, a member of the Naive Bayes family effective in text classification. Data was collected from 1,070 user reviews through questionnaires distributed on social media and discussion forums, resulting in 915 sentiment data points after data cleaning. The preprocessing process included cleansing, case folding, tokenizing, normalization, filtering, and stemming to prepare the data for sentiment analysis. The study employed the K-Fold Cross Validation technique with 5 folds to test the model and obtain average accuracy, precision, and recall. The results showed that the Multivariate Bernoulli model performed well with an average accuracy of 86.20% for OVO and 83.15% for GoPay, with very high recall values indicating the model's ability to detect positive sentiment. The confusion matrix from each fold demonstrated consistent ability to identify positive cases. This study's findings are expected to provide recommendations for the development of OVO and GoPay digital wallet services based on user sentiment analysis.

References

[1] E. Damanik and I. M. Siregar, “PENGEMBANGAN SISTEM CUSTOMER RELATIONSHIP MANAGEMENT BERBASIS WEB PADA PT. TERUS MEGA TARA JAKARTA,” J. Tek. Inf. dan Komput., vol. 4, no. 1, pp. 60–69, 2021, doi: 10.37600/tekinkom.v4i1.278.
[2] V. M. M. Siregar et al., “Decision support system for selection of food aid recipients using SAW method,” AIP Conf. Proc., vol. 2453, no. July, 2022, doi: 10.1063/5.0094385.
[3] V. M. M. Siregar and M. A. Hanafiah, “Perancangan Aplikasi Augmented Reality Untuk Edukasi Penerapan Konsep Green Economy Dalam Pengembangan Desa Wisata Sebagai Upaya Mewujudkan Pembangunan Berwawasan Lingkungan,” J. TEKINKOM, vol. 6, no. 2, pp. 339–348, 2023, doi: 10.37600/tekinkom.v6i2.950.
[4] V. M. M. Siregar and E. D. Siringo-Ringo, “Decision Support System to Determine Scholarship Recipients using Analytical Hierarchy Process Method,” COSTA J. (Computer Sci. Technol. Appl. Journal), vol. 1, no. 1, pp. 39–49, 2023, doi: 10.35335/idss.v4i2.67.
[5] V. M. M. Siregar and E. D. Siringo-Ringo, “Decision Support System to Determine Scholarship Recipients Using the Electre Method,” COSTA J. (Computer Sci. Technol. Appl. Journal), vol. 1, no. 2, pp. 39–49, 2023.
[6] V. M. M. Siregar, K. Sinaga, E. Sirait, A. S. Manalu, and M. Yunus, “Classification of Customer Satisfaction Through Machine Learning : An Artificial Neural Network Approach,” IOTA, vol. 3, no. 3, pp. 273–282, 2023, doi: 10.31763/iota.v3i3.643.
[7] N. A. Sinaga et al., “Decision support system with MOORA method in selection of the best teachers,” AIP Conf. Proc., vol. 2453, no. July, 2022, doi: 10.1063/5.0094437.
[8] N. R. Shantika, A. L. Ardiatama, Oktania Purwaningrum, Y. Y. Putra, and A. O. Syafira, “Analisis Adopsi Inovasi Teknologi Informasi Dompet Digital DANA Menggunakan Innovation-Diffusion Theory (IDT),” J. Inf. Syst. Artif. Intell., vol. 2, no. 2, pp. 1–8, 2022.
[9] D. Henriawan, D. Puspasari, and U. S. April, “Pengaruh Dompet Digital dan Variasi Produk Terhadap Keputusan Pembelian di Shopee,” Koaliansi Coop. J., vol. 3, no. 1, pp. 71–86, 2023.
[10] M. Raffi, A. Suharso, and I. Maulana, “Analisis Sentimen Ulasan Aplikasi Binar Pada Google Play Store Menggunakan Algoritma Naïve Bayes Sentiment Analysis of Binar Application Reviews on Google Play Store Using Naïve Bayes Algorithm,” J. Inf. Technol. Comput. Sci., vol. 6, no. 1, pp. 1–7, 2023.
[11] J. Fadhilah, C. A. A. Layyinna, R. Khatami, and F. Fitroh, “Pemanfaatan Teknologi Digital Wallet Sebagai Solusi Alternatif Pembayaran Modern: Literature Review,” J. Comput. Sci. Eng., vol. 2, no. 2, pp. 89–97, 2021, doi: 10.36596/jcse.v2i2.219.
[12] Salsabila Putri Ramadhanti, Agung Dharmawan Buchdadi, and Muhammad Fawaiq, “Determinan Adopsi Dompet Digital: Perceived Ease Of Use, Trust, dan Perceived Usefulness,” J. Bisnis, Manajemen, dan Keuang., vol. 4, no. 1, pp. 75–85, 2023, doi: 10.21009/jbmk.0401.06.
[13] A. Prakosa and A. Sumantika, “Analisis TAM Pada Pengguna Dompet Digital di Daerah Istimewa Yogyakarta,” J. Manaj., vol. 10, no. 2, pp. 137–146, 2015.
[14] C. Inaya, R. J. Ismiarti, and F. A. Nofirda, “Analisis Dampak Penggunaan Dompet Digital pada Generasi Milenial: Studi Komparasi Gopay dan Ovo/Dana,” J. Pendidik. Tambusai, vol. 7, no. 3, pp. 3159–3164, 2024.
[15] M. Ridwan, “Analisis Model Bisnis Layanan Uang Elektronik Gopay Dalam Ekosistem Gojek Dan Sebagai Layanan Keuangan Di Indonesia,” J. Ilm. Mhs. FEB, 2021.
[16] A. McCallum and K. Nigam, “A Comparison of Event Models for Naive Bayes Text Classification,” AAAI/ICML-98 Work. Learn. Text Categ., pp. 41–48, 1998, doi: 10.1.1.46.1529.
[17] G. Singh, B. Kumar, L. Gaur, and A. Tyagi, “Comparison between Multinomial and Bernoulli Naïve Bayes for Text Classification,” 2019 Int. Conf. Autom. Comput. Technol. Manag. ICACTM 2019, no. April, pp. 593–596, 2019, doi: 10.1109/ICACTM.2019.8776800.
[18] M. N. Humam, “Perbandingan Kinerja CNN dan Naïve Bayes pada Analisis Sentimen Performa Manchester United di Twitter,” J. Inf. Eng. Educ. Technol., vol. 7, no. 2, pp. 83–91, 2023, doi: 10.26740/jieet.v7n2.p83-91.
[19] L. J. Ningri, M. Hamidi, and F. Adrianto, “Sentiment Analysis Against Digital Payment ‘GoPay’, ‘OVO’, ‘DANA’, and ‘ShopeePay’ Using Naïve Bayes Classifier Algorithm,” Indones. J. Econ. Manag., vol. 3, no. 2, pp. 322–336, 2023, doi: 10.35313/ijem.v3i2.4765.
[20] M. W. A. Putra, Susanti, Erlin, and Herwin, “Analisis Sentimen Dompet Elektronik Pada Twitter Menggunakan Metode Naïve Bayes Classifier,” IT J. Res. Dev., vol. 5, no. 1, pp. 72–86, 2020, doi: 10.25299/itjrd.2020.vol5(1).5159.
Published
2024-06-30
How to Cite
NAINGGOLAN, Nurmida et al. ANALISIS SENTIMEN PENGGUNA DOMPET DIGITAL MENGGUNAKAN ALGORITMA MULTIVARIAT BERNOULLI (STUDI KASUS: OVO DAN GOPAY). Jurnal Tekinkom (Teknik Informasi dan Komputer), [S.l.], v. 7, n. 1, p. 345-351, june 2024. ISSN 2621-3079. Available at: <https://jurnal.murnisadar.ac.id/index.php/Tekinkom/article/view/1223>. Date accessed: 21 july 2024. doi: https://doi.org/10.37600/tekinkom.v7i1.1223.
Section
Articles