The Analysis of Digital Provider Sentiment Of ‘by.u’ On Google Play Which Uses The Support Vector Machine (SVM) Method

The Analysis of Digital Provider Sentiment Of ‘by.u’ On Google Play Which Uses The Support Vector Machine (SVM) Method

• By Ardiansyah, Angga; Aji, Sopian; Pratmanto, Dany; Kuryanti, Sandra Jamu; Putra, Octa Pratama; Adiwihardja, Cep;
• Jurnal Internasional Bereputasi
• 466

Abstract. The development of technology in the industrial revolution 4.0 is very rapid in various sectors in trade, communication and other sectors; both nationally and internationally. One of the fields, it is the telecommunications sector. Becoming one of the digital based providers of ‘by.u’ from Telkomsel which is the first digital operator in Indonesia. The algorithm testing uses Support Vector Machine (SVM) from 300 user review data applications. The ‘by.u’ review consists of 150 negative reviews; which refers to dislike or bad expressions. Next, 150 positive reviews; which refers the constructive suggestion or support the text in using Indonesian. The resulting model gets the results of testing accuracy by using Support Vector Machine with accuracy value shows that: 87.24  

• Katakunci
• URL http://
• Penerbit ,

REFERENSI

[1] tek.id, \5 keunggulan by.U, operator digital pertama di Indonesia," Mar. 03, 2020. https://www.tek.id/tek/5-keunggulan-by-u-operator-digital-pertama-di-indonesia-b1ZHS9gMN (accessed Jun. 29, 2020).

[2] A. Hadi, \Cara Membeli dan Aktivasi Kartu by.U - Tirto.ID," Feb. 09, 2020. https://tirto.id/cara-membelidan-aktivasi-kartu-byu-exS8 (accessed Jun. 29, 2020).

[3] A. Tripathy, A. Agrawal, and S. K. Rath, \Classification of Sentimental Reviews Using Machine Learning Techniques," in Procedia Comput. Sci, 2015, vol. 57, pp. 821{829.

[4] I. Ronny Julianto, Evi Dianti Bintari, \Analisis Sentimen Layanan Provider Telepon Seluler pada Twitter menggunakan Metode Na¨ıve Bayesian Classification," J. Big Data Anal. Artif. Intell., vol. 3, no. 1, 2017.

[5] Warjiyono, S. Aji, Fandhilah, N. Hidayatun, H. Faqih, and Liesnaningsih, \The Sentiment Analysis of Fintech Users Using Support Vector Machine and Particle Swarm Optimization Method," in 2019 7th International Conference on Cyber and IT Service Management, CITSM 2019, Nov. 2019, doi:10.1109/CITSM47753.2019.8965348.

[6] K. Schouten and F. Frasincar, \Survey on Aspect-Level Sentiment Analysis," IEEE Trans. Knowl. Data Eng., vol. 28, no. 3, pp. 813{830, Mar. 2016, doi: 10.1109/TKDE.2015.2485209.

[7] A. S. H. Basari, B. Hussin, I. G. P. Ananta, and J. Zeniarja, \Opinion mining of movie review using hybrid