SENTIMENT ANALYSIS AGAINST THE DANA E-WALLET ON GOOGLE PLAY REVIEWS USING THE K-NEAREST NEIGHBOR ALGORITHM

  • Siti Masturoh (1*) Universitas Nusa Mandiri
  • Achmad Baroqah Pohan (2) Universitas Bina Sarana Informatika

    • (*) Corresponding Author
DOI: https://doi.org/10.33480/pilar.v17i1.2182

Keywords: E-wallet, DANA, K-Nearest Neighbor

Abstract

DANA e-Wallet or digital wallet application can be downloaded on the Android platform via Google Play, and google play itself provides a review column. The public will usually see reviews on Google Play before they download an application because the information obtained through these reviews is considered effective in providing information, problems regarding reviews or sentiment analysis of the application must be processed using text mining. Text mining in this study uses k-nearest neighbor by testing 3 classes based on star rating, the first class consists of 1-5 stars, the second class consists of (1 & 5 stars, 3rd class consists of labeling stars (1 & 2) negative label, 3 neutral labels, as well as 4 & 5 stars positive labels) and testing the value of k 1-10 so that the highest accuracy value is obtained with class 2 (1 star and 5 stars) and the best test at k 1 value is obtained the accuracy result of 86.64%

Downloads

Download data is not yet available.

References

Aaputra, S. A., Didi Rosiyadi, Windu Gata, & Syepry Maulana Husain. (2019). Sentiment Analysis Analisis Sentimen E-Wallet Pada Google Play Menggunakan Algoritma Naive Bayes Berbasis Particle Swarm Optimization. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 3(3), 377–382. https://doi.org/10.29207/resti.v3i3.1118

Adhine Salsabila, K. D., Ghiffarie, A., Baistama, R. P., Variadi, M. I., & Rhajendra, M. D. (2019). Analisis Sentimen Terhadap Produk The Body Shop Tea Tree Oil. Jurnal Teknologi Dan Manajemen Informatika, 5(2). https://doi.org/10.26905/jtmi.v5i2.3684

Aulia, S. (2020). Pola Perilaku Konsumen Digital Dalam Memanfaatkan Aplikasi Dompet Digital. Jurnal Komunikasi, 12(2), 311. https://doi.org/10.24912/jk.v12i2.9829

Buntoro, G. A. (2017). Analisis Sentimen Calon Gubernur DKI Jakarta 2017 Di Twitter. INTEGER: Journal of Information Technology, 2(1), 32–41. https://ejurnal.itats.ac.id/integer/article/view/95

Cahyani, A. D., & Mardiana, T. (2020). Sentiment Analysis of Digital Wallet Service Users Using Naïve Bayes Classifier and Particle Swarm Optimization. Jurnal Riset Informatika, 2(4), 241–250. https://doi.org/10.34288/jri.v2i4.160

Deviyanto, A., & Wahyudi, M. D. R. (2018). Penerapan Analisis Sentimen Pada Pengguna Twitter Menggunakan Metode K-Nearest Neighbor. JISKA (Jurnal Informatika Sunan Kalijaga), 3(1), 1. https://doi.org/10.14421/jiska.2018.31-01

Ernawati, S., & Wati, R. (2018). Penerapan Algoritma K-Nearest Neighbors Pada Analisis Sentimen Review Agen Travel. Jurnal Khatulistiwa Informatika, VI(1), 64–69.

Giovani, A. P., Ardiansyah, A., Haryanti, T., Kurniawati, L., & Gata, W. (2020). Analisis Sentimen Aplikasi Ruang Guru Di Twitter Menggunakan Algoritma Klasifikasi. Jurnal Teknoinfo, 14(2), 115. https://doi.org/10.33365/jti.v14i2.679

Gunawan, F., Fauzi, M. A., & Adikara, P. P. (2017). Analisis Sentimen Pada Ulasan Aplikasi Mobile Menggunakan Naive Bayes dan Normalisasi Kata Berbasis Levenshtein Distance (Studi Kasus Aplikasi BCA Mobile). Systemic: Information System and Informatics Journal, 3(2), 1–6. https://doi.org/10.29080/systemic.v3i2.234

Inggiharti, N. (2020). Pengaruh Electronic Wallet Terhadap Kegiatan Keuangan Indonesia (Perbandingan Aplikasi Electronic Wallet Milik Perusahaan Financial Technology terhadap Aplikasi Electronic Wallet Milik BUMN). University Of Bengkulu Law Journal, 5(1), 74–88.

Kesumastuti, T. M. (2020). The Process of Adoption Interest in Using Digital Wallet in Central Jakarta ( Case Study on Go-Pay Users ). International Journal of Multicultural and Multireligious Understanding, 7(2), 277–286.

Kristiyanti, D. A., Putri, D. A., Indrayuni, E., Nurhadi, A., & Umam, A. H. (2020). E-Wallet Sentiment Analysis Using Naïve Bayes and Support Vector Machine Algorithm. Journal of Physics: Conference Series, 1641(1). https://doi.org/10.1088/1742-6596/1641/1/012079

Kusnawan, A., Diana, S., Andy, A., & Tjong, S. (2019). Pengaruh Diskon pada Aplikasi e-Wallet terhadap Pertumbuhan Minat Pembelian Impulsif Konsumen Milenial di Wilayah Tangerang. Sains Manajemen, 5(2), 137–160. https://doi.org/10.30656/sm.v5i2.1861

Mahendrajaya, R., Buntoro, G. A., & Setyawan, M. B. (2019). Analisis Sentimen Pengguna Gopay Menggunakan Metode Lexicon Based Dan Support Vector Machine. Komputek, 3(2), 52. https://doi.org/10.24269/jkt.v3i2.270

Masturoh, S., & Pohan, A. B. (2021). Analisis Sentimen Terhadap E-Wallet DANA Pada Ulasan Google Play Menggunakan Algoritma K-Nearest Neighbor (KNN).

Pristiyanti, R. I., Fauzi, M. A., & Muflikhah, L. (2018). Sentiment Analysis Peringkasan Review Film Menggunakan Metode Information Gain dan K-Nearest Neighbor. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya, 2(3), 1179–1186.

Puspita, Y. C. (2019). Analisis Kesesuaian Teknologi Penggunaan Digital Payment Pada Aplikasi Ovo. Jurnal Manajemen Informatika, 09(02), 121–128.

Putra, M. W. A., Susanti, Erlin, & Herwin. (2020). Analisis Sentimen Dompet Elektronik Pada Twitter Menggunakan Metode Naïve Bayes Classifier. IT Journal Research and Development, 5(1), 72–86. https://doi.org/10.25299/itjrd.2020.vol5(1).5159

Saidah, S., & Mayary, J. (2020). Analisis Sentimen Pengguna Twitter Terhadap Dompet Elektronik Dengan Metode Lexicon Based Dan K – Nearest Neighbor. Jurnal Ilmiah Informatika Komputer, 25(1), 1–17. https://doi.org/10.35760/ik.2020.v25i1.2411

Salam, A., Zeniarja, J., & Khasanah, R. S. U. (2018). Analisis Sentimen Data Komentar Sosial Media Facebook Dengan K-Nearest Neighbor (Studi Kasus Pada Akun Jasa Ekspedisi Barang J&T Ekpress Indonesia). Prosiding SINTAK, 480–486.

Published
2021-03-02
How to Cite
Masturoh, S., & Pohan, A. (2021). SENTIMENT ANALYSIS AGAINST THE DANA E-WALLET ON GOOGLE PLAY REVIEWS USING THE K-NEAREST NEIGHBOR ALGORITHM. Jurnal Pilar Nusa Mandiri, 17(1), 53-58. https://doi.org/10.33480/pilar.v17i1.2182
Article Metrics

Abstract viewed = 1518 times
PDF downloaded = 1380 times
Issue
Vol 17 No 1 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Period for March 2021
Section
Articles

Copyright (c) 2021 Siti Masturoh, Achmad Baroqah Pohan

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

An author who publishes in the Pilar Nusa Mandiri: Journal of Computing and Information System agrees to the following terms:

  1. Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-NonCommercial 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
  2. Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.
  3. Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).
    Read more about the Creative Commons Attribution-NonCommercial 4.0 Licence here: https://creativecommons.org/licenses/by-nc/4.0/.

Most read articles by the same author(s)