Jeti, Apolonia (2023) Prediksi Jumlah Minat Baca Mahasiswa Fakultas Teknologi Informasi Di Perpustakaan Unmer Malang Menggunakan Metode Naïve Bayes. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

The purpose of this study was to predict students' reading interest by looking at the level of accuracy in the orange application using the naïve Bayes method based on variables such as the number of visitors, book collections, book returns and late returns of books. Data collection was carried out through a questionnaire with a sample of 100 data. By displaying the results of the confusion matrix, the accuracy values for each are different, namely: The first is an accuracy of 72% second accuracy 67%, third accuracy 58%, all four accuracy 70% in these predictions the accuracy is included in the category classification height. With the prediction of the Naïve Bayes method to find out students' reading interest by looking at the previous data, the data is classified based on features, so after classifying it will produce high accuracy. So the reading interest level of Information technology Faculty students at the Unmer Malang Library is very good.

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