Implementasi Algoritma Support Vector Learning Terhadap Analisis Sentimen Penggunaan Aplikasi Tiktok Shop Seller Center

Authors

  • Sarina Sarina Universitas Sulawesi
  • Adam M Tanniewa Universitas Sulawesi

Keywords:

E-commerce, SVM, Tiktok Shop

Abstract

E-commerce is experiencing rapid growth in Indonesia, followed by the increasing popularity of the Tiktok Shop application. This research aims to conduct sentiment analysis on user reviews of the Tiktok Shop Seller Center application on the Google Play Store using the Support Vector Learning (SVM) method and Text Mining techniques. This research collects review data in Indonesian from May to July 2023. This data includes ratings, comment content and review dates. The sentiment analysis results allow grouping reviews into positive or negative, and SVM with various kernels (Linear, RBF, Polynomial, and Sigmoid) is used to classify the sentiment. This research has the potential to provide important insights into users' views of the Tiktok Shop Seller Center and contribute to the development of sentiment analysis in the context of e-commerce in Indonesia.

References

DBS. (2020). E-commerce Indonesia menempati urutan pertama di AsiaTenggara. https://www.dbs.com/newsroom/Indonesias_ecommerce_ranks_f irst_in_Southeast_Asia

Google, Temasek, Bain, & Company. (2022). E-conomy SEA 2022.

Iskandar, J. W., & Nataliani, Y. (2021). Perbandingan naive bayes, SVM, dan KNN untuk analisis sentimen gadget berbasis aspek. 5(158), 1120–1126.

Tinaliah, & Elizabeth, T. (2022). Analisis sentimen ulasan aplikasi primaku menggunakan metode Support Vector Learning. Jurnal Teknik Informatika Dan Sistem Informasi, 9(4), 3436–3442.

Hendriyanto, M. D., Ridha, A. A., & Enri, U. (2022). Analisis sentimen ulasan aplikasi mola pada Google Play Store menggunakan algoritma Support Vector Learning. Journal of Information Technology and Computer Science (INTECOMS), 5, 1–7.

Hasna, S. K. (2021). Analisis Sentimen Data Ulasan Menggunakan Algoritma Support Vector Learning (Studi Kasus: Aplikasi Ilflix). 17522136.

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Published

2023-10-17

How to Cite

Sarina, S., & Adam M Tanniewa. (2023). Implementasi Algoritma Support Vector Learning Terhadap Analisis Sentimen Penggunaan Aplikasi Tiktok Shop Seller Center. Prosiding SISFOTEK, 7(1), 165 - 170. Retrieved from http://seminar.iaii.or.id/index.php/SISFOTEK/article/view/404

Issue

Section

3. Data dan Diseminasi Informasi
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