ANALISIS ALGORITMA BACKPROPAGATION DAN NAIVE BAYES DALAM IDENTIFIKASI JENIS KELAMIN MANUSIA BERDASARKAN FOTO PANORAMIK GIGI

Abstract

This study conducted a comparison of backpropagation and naïve bayes
algorithms in human sex identification using panoramic teeth. In the process of
identification forensic teams use DNA, because the value of accuracy is very high.
But it takes a long time. So the researchers created a system for identification of
human sex in order to assist the forensic team in the process of identification of
natural disaster victims in bulk, because human teeth are resistant to temperature
10000C. The system built in this study compares 2 algorithms, and uses the image
of human panoramic teeth. The purpose of this study, namely to find the accuracy
of backpropagation and naïve bayes algorithm in the process of identification of
human gender using the image of panoramic teeth. Its benefits make the human sex
identification system in order to assist the forensic team. Results from the
comparison of two algorithms, namely: backpropagation can identify human
gender with an accuracy of ± 85%. While the naïve bayes algorithm in identifying
human gender accuracy ± 81%. The conclusion of this research, the
backpropagation algorithm has higher accuracy value than naïve bayes algorithm
in gender identification.