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All Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Brian Laurensz
Universitas Kristen Satya Wacana
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Analisis Sentimen Masyarakat terhadap Tindakan Vaksinasi dalam Upaya Mengatasi Pandemi Covid-19 Brian Laurensz; Eko Sediyono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 2: Mei 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1098.92 KB) | DOI: 10.22146/jnteti.v10i2.1421

Abstract

Coronavirus has become a global pandemic and has spread almost all over the world, including Indonesia. Many negative impacts resulted from the spread of COVID-19 in Indonesia, so the government made vaccination measures to reduce the rate of spread of COVID-19. Responses from the public to vaccination measures are quite diverse on social media Twitter. Some are supportive and some disagree. The purpose of this study is to find out how people's sentiment towards vaccination measures. The data used 845 tweets, using two keywords, "vaksinmerahputih" and "vaksinsinovac." The data is then divided into 253 training data and 592 testing data. The classification will use the SVM and Naïve Bayes methods. The classification result of the Naïve Bayes method received an average accuracy of 85.59%, while SMV of 84.41%. Sentiment results on Naïve Bayes method with keyword "vaksinsinovac" gets positive sentiment of 66% and negative sentiment of 34%, while "vaksinmerahputih" obtains 89% and 11% for positive and negative sentiment, respectively. SVM method with keyword "vaksinsinovac" gets 96% positive and 4% negative, while "vaksinmerahputih" obtains 98% positive and 2% negative. It can be concluded that the results of public sentiment towards vaccination measures received a positive response.
Co-Authors Eko Sediyono