Kajian Bakat Anak Melalui Pola Tulisan Tangan dengan Algoritma Convolutional Neural Network

Abstract

Another obstacle faced is that it is difficult to find a suitable child psychologist for consultation, and also related to the costs incurred which is not small. Thus, research were conducted by detecting the talents of children aged 14-15 years using CNN. With the hope that the age range of children already has the art of writing permanently. The results of this analysis show that there are six main talents and 75 talent traits. Based on the inference used to identify children's talents according to USOE America standards. This system can provide information in the form of talents and interests of children based on the characteristics they have and the right way of learning for the child. So that parents can maximize the talent possessed by the child.