Pascal Aldwin Hernando, . (2021) ANALISIS SENTIMEN PENGARUH COVID-19 TERHADAP KEHIDUPAN BERMASYARAKAT PADA MEDIA SOSIAL TWITTER MENGGUNAKAN K-NEAREST NEIGHBOR. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Coronavirus Disease (COVID-19) is a pandemic that occurs due to the spread of the newly discovered coronavirus. COVID-19 is spread through saliva or objects that come out of the nose of an infected person coughing or sneezing. With the emergence of this pandemic, the whole world, including Indonesia, has experienced a setback in various fields of life. With this COVID-19, the government has imposed a lockdown in various areas which has caused everyone's activities to be limited from home. To reveal the situation during the lockdown, people use social media as an intermediary, one of which is Twitter. With so many uses of twitter, making data related to COVID-19 for sentiment analysis using the classification K-Nearest Neighbor. By referring to certain areas, namely Jakarta and Surabaya, data were collected for testing with KNN. The results of the test show that the Jakarta data get the best accuracy at 79.85% with a value of K = 9, while the Surabaya data get the best accuracy at 76.47% with a value of K = 11, 17, 19, 20.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No. Panggil : 1710511044] [Pembimbing 1 : Yuni Widiastiwi] [Pembimbing 2 : Mayanda Mega Santoni] [Ketua Penguji : Iin Ernawati] [Anggota Penguji : Nurul Chamidah] |
| Uncontrolled Keywords: | COVID-19, Twitter, sentiment analysis, K-Nearest Neighbor |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Pascal Aldwin Hernando |
| Date Deposited: | 21 Dec 2021 07:39 |
| Last Modified: | 21 Dec 2021 07:39 |
| URI: | http://repository.upnvj.ac.id/id/eprint/11722 |
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