SciRepID - Implementasi Data Mining untuk Mengetahui Minat Baca Peserta Didik Menggunakan Naives Bayes pada Perpustakaan SMP Negeri 2 Palembang

📅 02 December 2024
DOI: 10.62951/router.v2i4.302

Implementasi Data Mining untuk Mengetahui Minat Baca Peserta Didik Menggunakan Naives Bayes pada Perpustakaan SMP Negeri 2 Palembang

Router : Jurnal Teknik Informatika dan Terapan
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)

📄 Abstract

Students reading interest is a crucial factor in enhancing the quality of education. However, the lack of structured data makes it challenging to identify specific patterns of reading interest. This study aims to implement a data mining method using the Naive Bayes algorithm to analyze students' reading interest at SMP Negeri 2 Palembang's library. The data used includes book borrowing history, types of books, and library visit frequency over one semester. The analysis results indicate that the Naive Bayes method achieves an accuracy rate of 80% in classifying reading interest based on predetermined categories. These findings are expected to assist the school in designing more effective literacy programs.
 

🔖 Keywords

#Data mining; Reading Interest; Naive Bayes; Library; Education

ℹ️ Informasi Publikasi

Tanggal Publikasi
02 December 2024
Volume / Nomor / Tahun
Volume 2, Nomor 4, Tahun 2024

📝 HOW TO CITE

Tiara Siti Nadira; Tata Sutabri, "Implementasi Data Mining untuk Mengetahui Minat Baca Peserta Didik Menggunakan Naives Bayes pada Perpustakaan SMP Negeri 2 Palembang," Router : Jurnal Teknik Informatika dan Terapan, vol. 2, no. 4, Dec. 2024.

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