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All Journal Journal of Computers for Society
Rizqia Lestika Atmi
Politeknik Negeri Ketapang
Computer Science & IT Engineering Library & Information Science Mathematics

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A Text Mining Implementation Based on Twitter Data to Analyse Information Regarding Corona Virus in Indonesia Enda Esyudha Pratama; Rizqia Lestika Atmi
Journal of Computers for Society Vol 1, No 1 (2020): JCS: June 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jcs.v1i1.25502

Abstract

CORONA virus outbreak (COVID-19) began to infect almost all countries in early 2020 including Indonesia. Since its distribution, various information has been spread in the community from various sources, one of them is social media. Various terms also appear on social media related to the corona virus. This study analyzes related terms that emerge from social media-based. The data used was sourced from Twitter in the past month where the data processed was text data. The method used is text mining. Text Mining is a method used to extract important information from a group of texts. From the results of the research conducted, there are several terms or information that tend to appear frequently on social media, namely “PSBB”, “new normal”, “karantina”, and “juru bicara Dr. Reisa”.
Co-Authors Enda Esyudha Pratama