EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi
Vol 12, No 2 (2022): December

Analisis Sentimen Vaksinasi Booster Covid-19 pada Platform Twitter Menggunakan Metode Naïve Bayes

Dessy Tri Anggraeni (Universitas Gunadarma)



Article Info

Publish Date
31 Dec 2022

Abstract

Since the end of 2019, the Covid-19 virus hit the whole world, including in Indonesia. One of the efforts to deal with the Covid-19 virus is vaccination. In Indonesia, the government requires people to vaccinate 3 times, that are  First Vaccination, Second Vaccination, and Booster Vaccination. The public's response to the booster vaccine are varies. This study aims to reveal public sentiment towards booster vaccine activities. The research was conducted by collecting tweet data from the Twitter platform. The research was conducted by collecting data tweets from Twitter. The method used is the Naïve Bayes Classifier because the method is simple, the process is fast, and it has a fairly high level of confidence. In this method, public sentiment is divided into three, that are positive, neutral, and negative. The results showed that most people responded positively to this booster vaccine activity with a value of 56.8%, neutral as much as 39.9%, and negative as much as 3.3% with an accuracy rate of 86%.

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Journal Info

Abbrev

expert

Publisher

Subject

Computer Science & IT

Description

EXPERT: Jurnal Manajemen Sistem Informasi dan Teknolologi menyajikan artikel/naskah dalam bidang teknologi informasi khususnya dalam Fokus pada 5 kelompok keilmuan di bidang sistem informasi yaitu: Sistem Informasi, Rekayasa Perangkat Lunak (RPL), Jaringan, Multimedia, Security, Teknologi Web dan ...