Identifikasi Penyakit Diabetes Millitus Menggunakan Jaringan Syaraf Tiruan Dengan Metode Perambatan-Balik (Backpropagation)
Abstract: Diabetes
Melitus (DM) is dangerous disease that affect many of the various layer of work
society. This disease is not easy to accurately recognized by the general
society. So we need to develop a system that can identify accurately. System is
built using neural networks with backpropagation methods and the function
activation sigmoid. Neural network architecture using 8 input layer, 2 output
layer and 5 hidden layer. The results show that this methods succesfully
clasifies data diabetics and non diabetics with near 100% accuracy rate.
Penulis: Sriyanto, Sutedi
Kode Jurnal: jptinformatikadd100302
