Topic Modeling for Twitter Users Regarding the "Ruanggguru" Application

Bagus Wicaksono Arianto; Gangga Anuraga

doi:10.19184/jid.v21i2.17112

Bagus Wicaksono Arianto Department of Statistics, Faculty of Mathematics and Natural Sciences, PGRI Adi Buana Surabaya
Gangga Anuraga Department of Statistics, Faculty of Mathematics and Natural Sciences, PGRI Adi Buana Surabaya

DOI: https://doi.org/10.19184/jid.v21i2.17112

Abstract

PT Ruang Raya Indonesia ("Ruangguru") is the largest and most comprehensive technology company in Indonesia that focuses on education-based services. In 2019 there were 15 million Ruangguru users and 300.00 teachers who had joined and were present in 32 provinces in Indonesia. It prepared a number of expansion strategies to become a company valued at more than US $ 1 billion in the next year or two. The purpose of this research is to classify the opinions of Ruangguru users about the services provided so that it can be an evaluation material in improving their services using the latent direchlet allocation method. The data used comes from a collection of tweets of Twitter users in Indonesia using the Twitter API. The Twitter account used in this study is @ruangguru. The results of the analysis showed that the public perception of Twitter users by using latent dirichlet allocation was formed into 28 topics.
Keywords: latent dirichlet allocation, ruangguru, twitter.

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