Abstract
Students of SMP Negeri 2 Lengayang have different interests in determining the books they are interested in, so that the library often has difficulty determining the books that are most entered by students, this is because they have not used the right system in determining the type and number of books, only based on the estimated number. Students and subjects only, as a result school students stock books of the books they want to borrow. Based on the above, a method is needed to predict and classify the amount of book stock in the future. The data used is a recap of monthly book lending, from 2018 to 2020 in the third month, with a total of 1653 transactions and 5 types of books processed, then the data is analyzed using the Backpropogation method. The results obtained are using a 5-3-1 pattern with a learning rate of 0.01, a goal of 0.01, the number of input units for the Weapon layer 5, the number of units in the hidden layer and the number of output layer units that are placed on 1 layer, and to carry out training using two phases namely feedforward and backpropagation phases. It is removed from this research that the backpropagation method can provide a classification prediction of the number of books that must be provided in the following year based on the number of data entered or the number of data entered.
Highlights
so that the library often has difficulty determining the books that are most entered by students
because they have not used the right system in determining the type and number of books
The data used is a recap of monthly book lending
Summary
Perpustakaan merupakan salah satu sarana pembelajaran yang sangat vital disebuah sekolah. Backpropagation menggunakan model pembelajaran penelitian ini adalah untuk mengetahui model arsitektur terbimbing yang dapat meminimalisir kesalahan pada sistem JST yang dipakai untuk memprediksi buku apa output yang dihasilkan oleh jaringan karena saja yang sering dipinjam murid dalam kurun waktu menggunakan multilayer konsep [5]. Analisa sistem yang dilakukan pada metode Fungsi petugas perpustakaan salah satunya adalah Backpropagation untuk memprediksi dan melayani peminjaman buku bagi pengunjungnya tetapi mengklasifikasi buku. Proses metode Backpropagation permasalahan sewaktu menentukan buku apa saja yang dilakukan dengan mendefinisikan nilai awal untuk paling sering dibutuhkan dan diminati oleh siswa belum seluruh variabel yang diperlukan seperti menentukan terprogram dengan benar dan terencana sehingga pihak jumlah lapisan tersembunyi, menentukan jenis aktivasi perpustakaan masih belum bisa dan mampu untuk terbaik, menginisialisasi bobot, menganalisa pelatihan, memprediksi dan mengklasifikasi buku jenis apa saja mengukur kinerja ANN, dan menganalisis linier regresi yang layak dan banyak diminati oleh siswa ditahun berganda [15]. Data dengan spesifikasi hadrware dan software pendukung. buku setelah normalisasi disajikan pada Tabel 2
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