Penerapan Metode Naïve Bayes untuk Prediksi Minat Baca Berdasarkan Usia

Abstract

Reading is one of the activities favored by all circles of society, and a place that can be visited for reading activities is the library. One of them is the Pajajaran Sports Hall Library, based on the data obtained from more than 100 visitors who come to visit the Pajajaran Sports Hall Library each year. However, visitors who borrow do not necessarily have a high reading interest. In this study, an application was made that can predict library visitors who have a high reading interest. In order to predict future reading interest using the method Naive Bayes. It uses variables obtained from borrowing data and carried out preprocessing and obtained several variables used to make predictions, namely name, book category, number of late days, age group, and level of reading interest. This is done to predict the reading interest of visitors to the Pajajaran GOR Library, who have a high level of reading interest and a low level of reading interest. So that the librarian can find out the level of reading interest of the visitors, and the collection of books in the Pajajaran GOR Library can be increased based on the preferred book category of all ages. The accuracy test has also been carried out using the formula confusion matrix with an accuracy value of 80%, which means that the application that has been made is suitable for use.

Keywords

Naive Bayes Method; Library; Prediction; Reading Interest.

References

Armstrong, J.S.. “Relative Accuracy of Judgemental and Extrapolative Methods in Forecasting Annual Earnings”. Journal ofForecasting No.02 (1983): 437-447.

Budi Santosa. (2007). Data Mining Teknik Pemanfaatan Data Untuk Keperluan Bisnis. Yogyakarta

Departemen Pendidikan Nasional, Perpustakaan Nasional Republik Indonesia. (2007). Pemetaan Minat Baca Masyarakat. Di Tiga Provinsi: Sulawesi Selatan, Riau dan Kalimantan Selatan

Eko Prasetyo. (2014). Data Mining Konsep dan Aplikasi Menggunakan Matlab. Yogyakarta

Ghaniy, Rajib, and Kepin Sihotang. "Penerapan Metode Naïve Bayes Classifier untuk Penentuan Topik Tugas Akhir." Teknois, vol. 9, no. 1, 16 May. 2019, pp. 63-72, doi:10.36350/jbs.v9i1.7.

Jogiyanto, Hartono, 2005. Analisis & Desain Sistem Informasi Pendekatan Terstruktur Teori dan Praktek Aplikasi Bisnis, Yogyakarta: Andi Offset

Karthika, S., & Sairam, N. (2015). A Naïve Bayesian Classifier for Educational Qualification. Indian Journal of Science and Technology, 8(16), 1–5. http://doi.org/10.17485/ijst/2015/v8i16/62055

Larasati Milburga, et.all. 1986. “Membina Perpustakaan Sekolah”Yogyakarta:Kanisius, hlm. 17

Larose, Daniel T, Larose, Chantal D. (2014). Discovering Knowledge Ind Data: An Introduction To Data Mining – Second Edition, John Willey & Sons. Inc., Hoboken, New Jersey

Tan, P.N., Steinbach, M.,Kumar,V.(2006).Introduction to Data mining. Boston:Pearson Education

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