IMPLEMENTASI METODE NAIVE BAYES CLASSIFIER PADA KOMENTAR WARGA SEKOLAH MENGENAI PELAKSANAAN PEMBELAJARAN JARAK JAUH (PJJ) (STUDI KASUS: SDN 060969)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Siregar, Naomi Chatrina
Siregar, Riki Ruli
Sudirman, M. Yoga Distra
Siregar, Riki Ruli
Sudirman, M. Yoga Distra
Subject
Teknik Informatika
Datestamp
2022-09-26 03:09:43
Abstract :
Distance learning systems are learning systems that are widely implemented in different countries.One of them is Indonesia and has been applied at various levels of education ranging from the basic level to the top level.The learning is different from the regular learning system that is a face-to-face learning system that focuses on meeting.in its application this learning system reaped many comments such as the constraints of lack of understanding of the material submitted and so on.Of the many comments will certainly take a long time in managing the data.Therefore, there is a system that can manage these comments, the data used is comment data about the distance learning system.Then the data will be processed through the preprocessing text stage and classified using the Naïve Bayes Classifier method to select comments that fall into positive, negative, or neutral categories.
Distance learning systems are learning systems that are widely implemented in different countries.One of them is Indonesia and has been applied at various levels of education ranging from the basic level to the top level.The learning is different from the regular learning system that is a face-to-face learning system that focuses on meeting.in its application this learning system reaped many comments such as the constraints of lack of understanding of the material submitted and so on.Of the many comments will certainly take a long time in managing the data.Therefore, there is a system that can manage these comments, the data used is comment data about the distance learning system.Then the data will be processed through the preprocessing text stage and classified using the Naïve Bayes Classifier method to select comments that fall into positive, negative, or neutral categories.
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