SIGMA: Information Technology Journal
Vol 13 No 2 (2022): Juni 2022

Analisis Sentimen Terhadap Masyarakat Indonesia Di Masa PPKM Menggunakan Algoritma Naïve Bayes

Ahmad Turmudi Zy (Universitas Pelita Bangsa)
Aswan S Sunge (Universitas Pelita Bangsa)
Riani Riani (Universitas Pelita Bangsa)
Edy Widodo (Universitas Pelita Bangsa)



Article Info

Publish Date
28 Jul 2022

Abstract

Abstract Coronavirus is a group of viruses that can cause disease in animals or humans. Several types of coronavirus are known to cause respiratory tract infections in humans ranging from coughs and colds to more serious ones such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). One of the topics currently being discussed by the public, including on social media Twitter, is the government's policy regarding the Enforcement of Restrictions on Community Activities (PPKM). PPKM is a policy of the Government of Indonesia to deal with COVID-19 that has been made since early 2021. The implementation of PPKM raises pros and cons from the community. Based on the results of the SRMC survey reported through the saifulmunjani.com page, it was stated that nationally, 44% chose to strictly implement PPKM even though on the other hand income decreased, and 40% chose to stop PPKM with an increased risk of COVID-19 transmission. Based on the problems that occurred, it became the basis of this research which aims to find out how the public sentiment towards the implementation of PPKM policies in Indonesia through tweets and comments on the Twitter social media platform using sentiment analysis Keywords: PPKM, Naïve bayes, Covid19

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Journal Info

Abbrev

sigma

Publisher

Subject

Computer Science & IT

Description

SIGMA: Information Technology Journal merupakan jurnal ilmiah yang diterbitkan oleh Program Studi Teknik Informatika Universitas Pelita Bangsa sebagai salah satu wadah publikasi bagi dosen-dosen yang memiliki penelitian ilmiah di bidang Teknik Informatika, Ilmu Komputer, Sistim Informasi, Artificial ...