Abstract
Intelligence is the ability to process certain types of information derived from human biological and psychological factors. This study aims to implement a Backpropagation artificial neural network for prediction of early childhood intelligence and how to calculate system accuracy on children's intelligence using the backpropagation artificial neural network method. The Backpropagation Neural Network method is one of the best methods in dealing with the problem of recognizing complex patterns. Backpropagation Neural Networks have advantages because the learning is done repeatedly so that it can create a system that is resistant to damage and consistently works well. The application of the Backpropagation Neural Network method is able to predict the intelligence of early childhood. The results of the calculation of the Backpropagation Artificial Neural Network method from 42 children's intelligence data being tested, with 27 training data and 15 test data, the results obtained 100% accuracy percentage results.
Highlights
Children are very noble creatures that God has created So parents should treat their children as special as possible
[1] In Indonesia, according to the Central Bureau of Statistics, children under five in 2005 amounted to 20.87 million people, but only about 60 percent of those who can be served with good education such as Playgroups, Playgrounds and others managed by the government and the general public
From 10 learning rate experiments to find the average accuracy, the accuracy results obtained are 100% as the excellent classification category, and the implementation of the backpropagation method of artificial neural networks can be carried out on early childhood intelligence data
Summary
Children are very noble creatures that God has created So parents should treat their children as special as possible. [1] In Indonesia, according to the Central Bureau of Statistics, children under five in 2005 amounted to 20.87 million people, but only about 60 percent of those who can be served with good education such as Playgroups, Playgrounds and others managed by the government and the general public. This means that there are still around 40% or around 8.35 million children under five who have not been touched by education. Neural Networks is a powerful data model that is able to capture and represent complex Input-Output relationships, because of its ability to solve several problems, it is relatively easy to use, robust to input data, speed for execution, and initialize complex systems. [3]
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