Penentuan Beasiswa PPA dan BBM Menggunakan Backpropagation Neural Network

Abstract

In terms of scholarships there are several requirements that must be owned by the participants who applied for the scholarship. These requirements will be assessed and adapted to the institution's rules that students who obtain a scholarship right on target. There are several stages and the process through which students who want to get the scholarship. The provision of appropriate and targeted scholarships can help students in education to be taken, therefore, in the scholarship requires a system that can support the decision for selecting scholarship. For this study, the technique used is pattern matching (pattern matching) algorithm Backpropagation neural network with a hidden layer that serves as a binder encoder are able to remember a pattern