| dc.contributor.advisor | Hardhienata, Medria Kusuma Dewi | |
| dc.contributor.advisor | Herdiyeni, Yeni | |
| dc.contributor.author | Elhan, Amin | |
| dc.date.accessioned | 2022-11-23T06:57:32Z | |
| dc.date.available | 2022-11-23T06:57:32Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/115326 | |
| dc.description.abstract | Pandemi Covid-19 mendorong banyak pihak agar mampu beradaptasi
dengan kondisi terkini. Salah satu program yang diluncurkan pemerintah agar
dapat mengatasi penyebaran Covid-19 adalah dengan menjalankan progam
vaksinasi. Agar dapat mengetahui animo masyarakat terkait program vaksinasi
Covid-19 yang diluncurkan, perlu dilakukan analisis topik. Tujuan penelitian ini
adalah mengetahui topik-topik terkait vaksin Covid-19 yang dibicarakan
masyarakat di Twitter dan melakukan analisis sentimen pengguna Twitter
terhadap vaksinasi corona. Untuk mendapatkan topik-topik pembicaraan terkait
vaksin Covid-19 digunakan metode Latent Dirichlet Allocation (LDA). Metode
penelitian yang dilakukan meliputi praproses data, pelabelan sentimen, penentuan
jumlah, pemodelan topik, dan analisis topik. Hasil dari penelitian yang yang
dilakukan adalah berupa topik-topik terkait vaksinasi Covid-19 yang sedang
diperbincangkan di media Twitter di Indonesia. Tiga topik besar yang dibicarakan
yaitu mengenai vaksinasi gratis oleh pemerintah Indonesia, sebab akibat
mengikuti vaksinasi, dan varian vaksinasi. | id |
| dc.description.abstract | The Covid-19 pandemic has pushed many stakeholders to be able to adapt
to the current conditions. One of the programs launched by the government to
overcome the spread of Covid-19 is to run a vaccination program. To know the
public's interest regarding the Covid-19 vaccination program that was launched,
it is necessary to conduct a topic analysis. The purpose of this study was to find
out the topics related to the Covid-19 vaccine that were discussed by the public on
Twitter and to analyze the sentiments of Twitter users towards corona vaccination.
To get topics of discussion related to the Covid-19 vaccine, Latent Dirichlet
Allocation (LDA) method is used, while the Random Forest algorithm is used to
carry out sentiment analysis. The research methods include data preprocessing,
sentiment labeling, number determination, topic modeling, and topic analysis. The
results of the research carried out are in the form of topics related to Covid-19
vaccination which are being discussed on Twitter media in Indonesia. The three
major topics discussed were about free vaccination by the Indonesian government,
the causes and effects of following vaccination, and vaccination variants. | id |
| dc.language.iso | id | id |
| dc.publisher | IPB University | id |
| dc.title | Analisis Topik Pengguna Twitter terhadap Vaksinasi Covid-19 di Indonesia Menggunakan Latent Dirichlet Allocation | id |
| dc.title.alternative | Topic Analysis of Twitter User About Covid-19 Vaccination in Indonesia Using Latent Dirichlet Allocation | id |
| dc.type | Undergraduate Thesis | id |
| dc.subject.keyword | topic analysis | id |
| dc.subject.keyword | Covid-19 | id |
| dc.subject.keyword | vaccination | id |
| dc.subject.keyword | LDA | id |
| dc.subject.keyword | Twitter | id |
