Browsing by Author "Kumara, Roby"

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    ANALISIS SENTIMEN MASYARAKAT TERHADAP KEPUASAN BELAJAR DALAM JARINGAN (DARING) DI MASA NEW NORMAL MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER
    (perpustakaan UR, 2021-10) Kumara, Roby; Mahdiyah, Evfi
    Online learning is a method of studying over the internet. Noawadays in Indonesia began to implement the policy of online learning by utilizing learning management system application as a learni006Eg medium,as one of the efforts to prevent the widespread transmission of corona virus(Covid-19) in the world of education. This policy of online learning activities remotely began to be widely discussed not only through the real world but also on cyberspace, through social media such as twitter so that it became a trending topic to be discussed. The purpose of thisstudy is to find out the percentage of Pros and Contras on twitter’s users by using the one of the classification method, Naïve Bayes Classifier. The data used for this study are tweets that contains #belajardaring and #belajardarirumah from September to October 2020 period. When collecting data using twitterscraper that is loaded using pyhton. Then pre-processing the data that includes case folding, tokenizing, normalization, stopword removal, and stemming. The labeling process resulting two classes of data, positive and negative, with a total of 417 data. The results of this study foundthat 69% of people's perception is Contras and the other 31% is Pros, referring the online learning 2020 issues. Data that already has a class is then divided (Split) by 70% training data and 30% testing data to be used in the Naïve Bayes Classifier algorithm. The evaluation showed an accuracy score of 79.63%, a recallvalue of 88.49% and a precision value of 66.66% based on 417 tweets data,consisting 291 training data and 126 test data