Analisis Sentimen Persepsi Publik Mengenai PPKM Pada Twitter Berbasis SVM Menggunakan Python

Analisis Sentimen Persepsi Publik Mengenai PPKM Pada Twitter Berbasis SVM Menggunakan Python

• By Wati, Risa; Ernawati, Siti;
• Jurnal Nasional Terakreditasi
• 394
• 240-247

Covid-19 is an infectious disease through the mouth and nose of someone who is infected when talking, coughing, or sneezing and spread widely in the world so set as a pandemic. Many governments attempt made to suppress the spread of Covid-19, one of them is the application of PPKM to Java and Bali. The implementation of PPKM raises the pros and cons between the community, there are agreed and there is no agreed enactment of PPKM. Therefore, researchers conducted the research community sentiment towards the implementation of PPKM Java and Bali. People's comments are taken from social media, namely Twitter in the form of positive and negative comments, then the data is processed using a text editor Jupyter and the Python programming language and use the algorithm of SVM. This research has a purpose whether the algorithm of SVM can be a classifier is a good text for sentiment analysis implementation of PPKM, compare the Kernel in SVM between the Linear Kernel with the RBF Kernel, as well as assess whether the application of PPKM to Java and Bali proved successful in suppressing the number of the spread of the virus Covid19. The algorithm of SVM with the linear kernel proved to be the algorithm for classifying text on sentiment analysis implementation of PPKM Java and Bali with a value accuracy of 86%. As Seen from the results of the sentiment analysis application PPKM to Java and Bali proved to successfully reduce the number of Covid-19

• Katakunci PPKM, SVM Algorithm, Python
• URL http://ejournal.ust.ac.id/index.php/JTIUST/article/view/1465
• Penerbit LPPM Universitas Katolik Santo Thomas, Medan Sumatra Utara

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