Analisa Metode Perceptron Prediksi Penyediaan Buku Perpustakaan Sesuai Kebutuhan Mahasiswa (Studi Kasus di Universitas Islam Negeri Sumatera Utara Medan)

Abstract

As a public organization, libraries are required to provide services according the expectations of
the users, which can provide real-time information, timely and easily accessible in accordance with the
needs of the users of library services including students. The need for a library book that fits the needs of
students is important in order to help the learning process better and can help broaden students. With
Perceptron algorithm is one way to predict what books are much needed student. The data relating to the
provision of library books analyzed and categorized. Next will be processed using Artificial Neural Networks
which will provide an output that supplies information about the library books that fit the needs of students
in the future.