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All Journal JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi
Fanny Aura Salsabila
Universitas PGRI Yogyakarta
Computer Science & IT Other

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ANALISIS SENTIMEN INSTAGRAM VAKSINASI MASA PANDEMI COVID-19 MENGGUNAKAN METODE NAÏVE BAYES Dwi Winarti; Fanny Aura Salsabila; Fadia Ayu Cahyani; Nurirwan Saputra; Meilany Nonsi Tentua; Ahmad Riyadi
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 6 No. 1 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v6i1.787

Abstract

The Covid-19 pandemic that has spread throughout the world. The government has also minimized the spread of the virus by implementing Large-Scale Social Restrictions (PSBB), implementing a lockdown, banning going home during Eid al-Fitr and so on. The government has also utilized social media as information and services for the community. The government also does not remain silent when there are many negative impacts on society, so the government takes vaccination action. The public's response to the vaccination program is quite interesting and varied on Instagram, both positive and negative. So this study aims to analyze sentiment towards the Covid-19 pandemic vaccination program using the Naïve Bayes method. Based on the results of sentiment analysis testing, the Instagram user with Quadgram tokenization obtained an accuracy value of 75.9124%.
Co-Authors Ahmad Riyadi Dwi Winarti Fadia Ayu Cahyani Nurirwan Saputra Tentua, Meilany Nonsi