Implementasi Naive Bayes Untuk Klasifikasi Nilai Siswa Pada Presensi Perpustakaan Pesantren Darul Mursyid
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Hasibuan, Fadhilah Putri
Yosrita, Efy
Putra, Eka
Yosrita, Efy
Putra, Eka
Subject
Teknik Informatika
Datestamp
2022-09-26 07:09:11
Abstract :
The implementation of the Naive Bayes method has been widely used in education. This is supported by classification techniques that make it easier for method users to classify user data. In this study, a classification system was designed using the Naive Bayes method. This system is designed to classify the presence value of the Darul Mursyid Islamic boarding school library which previously was still done manually, where the presence value is one of the assessments in student report cards by semester. Data processing in this study utilizes the Naive Bayes method with 4 indicators. The 4 indicators are the number of student attendance to the library, gender, the number of books borrowed, and the time for returning the books. With this application, it provides the efficiency of the work activities of library employees in recapitulating data and calculating the presence value as well to be able to produce more accurate information
The implementation of the Naive Bayes method has been widely used in education. This is supported by classification techniques that make it easier for method users to classify user data. In this study, a classification system was designed using the Naive Bayes method. This system is designed to classify the presence value of the Darul Mursyid Islamic boarding school library which previously was still done manually, where the presence value is one of the assessments in student report cards by semester. Data processing in this study utilizes the Naive Bayes method with 4 indicators. The 4 indicators are the number of student attendance to the library, gender, the number of books borrowed, and the time for returning the books. With this application, it provides the efficiency of the work activities of library employees in recapitulating data and calculating the presence value as well to be able to produce more accurate information
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