Penerapan Artificial Intelligence Untuk Klasifikasi Penyakit Kulit Dengan Metode Convolutional Neural Network Berbasis Web

Dimas Aryanto Wijaya (Universitas Nasional, Jakarta)
Agung Triayudi (Universitas Nasional, Jakarta)
Arie Gunawan (Universitas Nasional, Jakarta)

Journal of Computer System and Informatics (JoSYC)
Vol 4 No 3 (2023): May 2023

Skin is one of the human organs that functions to regulate body temperature in humans, as well as to protect all organs in the human body. There are many factors that affect skin health conditions that cause skin diseases. A system was developed to help people detect skin diseases. This system is Artificial Intelligence with Convolutional Neural Network method so that it will produce a very significant image. The network will be trained to find angles, edges, shapes, and also features. The results of system performance in this study using adam optimizer with a learning rate of 0.0001 get the highest value of data accuracy reaching a value of 97%. So that the identification of skin diseases is quite good.