JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi
Vol. 6 No. 1 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi

ANALISIS SENTIMEN INSTAGRAM VAKSINASI MASA PANDEMI COVID-19 MENGGUNAKAN METODE NAÏVE BAYES

Dwi Winarti (Universitas PGRI Yogyakarta)
Fanny Aura Salsabila (Universitas PGRI Yogyakarta)
Fadia Ayu Cahyani (Universitas PGRI Yogyakarta)
Nurirwan Saputra (Unknown)
Meilany Nonsi Tentua (Universitas PGRI Yogyakarta)
Ahmad Riyadi (Universitas PGRI Yogyakarta)



Article Info

Publish Date
08 Feb 2023

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%.

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Journal Info

Abbrev

JUTSI

Publisher

Subject

Computer Science & IT Other

Description

Jurnal Sistem dan Teknologi Informasi Komunikasi ini berisikan artikel dari hasil penelitian dengan mengambil topik seputar sistem dan teknologi informasi Komunikasi dan akan diterbitkan satu kali dalam satu tahun dan berbentuk elektronik (ONLINE) dan CETAK (PRINT). Jurnal ini dibawah asuhan program ...