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All Journal Jurnal Manajemen Bisnis Jurnal Kreatif Tadulako Online Physics Student Journal KONSELING RELIGI JURNAL VARIASI Profesi Pendidikan Dasar LIBRARIA ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Berkala Kedokteran Jurnal Historica Jurnal Ilmiah Peuradeun Dinamika Ilmu JURNAL PENDIDIKAN TAMBUSAI AGROTECH : JURNAL ILMIAH TEKNOLOGI PERTANIAN Scientific Contribution Oil and Gas Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Ilmiah Pendidikan Matematika Al Qalasadi Journal of K6 Education and Management Jurnal Ilmiah Kesehatan Masyarakat : Media Komunikasi Komunitas Kesehatan Masyarakat Jurnal Pendidikan dan Pengabdian (JP2V)
Azizah Azizah
Universitas Telkom
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Journal : Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

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Analisis Sentimen Mengenai Vaksin Sinovac di Media Sosial Twitter Menggunakan Metode Naïve bayes Classification Aldisa, Rima Tamara; Azizah, Azizah; Abdullah, Mohammad Aldinugroho
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6, No 3 (2022): July-September
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i3.479

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.
Co-Authors Abdullah, Mohammad Aldinugroho abdurrouf Abdurrouf Agung Biworo Aldisa, Rima Tamara Asnawati Asnawati Bunawas Bunawas Dyah Titin Laswati ERSHAD JUNUS AMIN, ERSHAD JUNUS Farida Mayar Haifaturrahmah, Haifaturrahmah Hidayatullah, Romi Masri, Andy Murniati AR, Murniati Nasir Usman Noviyanti Noviyanti, Noviyanti NurCandra, Fajaria Nurmiwati, Nurmiwati Nurul Umamah Puji Winarti Purwandhani, Siti Nur Ramadi Ramadi, Ramadi Sita Ratnaningsih Sri Maryani Sulistiyani, Endang Sumardi . Sunarjanto, Djoko supriyatno supriyatno surya, riza afita Utami, Erita