Analisis Sentimen Mengenai Vaksin Sinovac di Media Sosial Twitter Menggunakan Metode Naïve bayes Classification

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Rima Tamara Aldisa
Azizah Azizah
Mohammad Aldinugroho Abdullah

Abstract

The Sinovac vaccine is an example of a type of inactivated vaccine. The government bought Sinovac, Novavax, AstraZeneca, and Pfizer vaccines. This vaccine is used to treat the Covid-19 pandemic. This vaccine is used to treat the Covid-19 pandemic. The role of the Indonesian people in expressing and stating the pros and cons often involves public services that are easily accessible by many people, namely social media, one of which is Twitter. This can be used as material to analyze who produces data in support of decisions. The technique that can be used is sentiment analysis. The method used in this study is the Naïve bayes Classification. The purpose of this study was to determine the value of sentiment analysis on the Sinovac vaccine using the Naive Bayes Classification method on Twitter social media using Indonesian. The result of this research is the final probability value based on the condition 0.000002765 for positive and 0.000000359 for negative. A response with a positive comment has a greater probability of a response with a negative comment.

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Author Biographies

Rima Tamara Aldisa, Universitas Nasional

Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

Azizah Azizah, Universitas Nasional

Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

Mohammad Aldinugroho Abdullah, Universitas Nasional

Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

References

Susilo, A., C. martin R., dkk. 2020. Coronavirus Disease 2019: Tinjauan Literatur Terbaru. Jurnal Ilmu Penyakit Dalam Indonesia, Vol. 7, No. 1.

Kementerian Kesehatan Republik Indonesia. 2021. Faktor Kunci Triple-helix Menuju Keberhasilan Vaksinasi Covid-19. Infodatin Pusat Data dan Informasi Kementerian Kesehatan Republik Indonesia, ISSn 2442-7659.

Nugroho, Agung. 2018. Analisis Sentimen pada Media Sosial Twitter Menggunakan Naive Bayes Classifier dengan Ekstraksi Fitur N-Gram. Jurnal Ilmu Komputer & Informatika (J-SAKTI), Jilid (2) No.2.

Astari, Ni Made A J., Dewa G H D., & Gede I. 2020. Analisis Sentimen Dokumen Twitter Terkait Dampak Virus Corona Menggunakan Metode Naive Bayes Classifier. Jurnal Sistem dan Informatika, Vol 15, No 1.

Ikasari, D., Yuliana F., & Widiastuti. 2020. Analisis Sentimen dan Klasifikasi Tweet Bahasa Indonesia Pada Angkutan Umum Mrt Jakarta Menggunakan Naive Bayes Classifier. Jurnal Ilmiah Informatika Komputer Jilid 25 No. 1.

Taufik, Andi. 2018. Perbandingan Algoritma Text Mining Untuk Klasifikasi Review Hotel. Jurnal Teknik Komputer AMIK BSI, Vol. IV No.2.

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