Sistem Pakar Penyakit Kulit Pada Manusia Menggunakan Metode Case Base Reasoning (CBR) Dengan Algoritma Sorensen Coefficient

Abstract

The problem that often occurs community in health world is availability experts who have certain knowledge, such as skin specialists, who are not easily obtained have limited time, are constrained lack funds for people who want seek treatment or meet with experts. Therefore necessary build system that can help patients and doctors able ease their work. System is expert system, expert system is system that is able imitate the reasoning of expert into computer so that can solve problems is usually done by experts. This study uses the case base reasoning method for reasoning method and uses the Sorensen coefficient algorithm find the value of the proximity of new cases old cases of skin diseases caused by fungi, bacteria, viruses, parasites, allergies and burns with 130 cases which divided into 104 cases training data and 26 cases test data. Based on the test results, this system has the highest accuracy rate of 100% and the lowest is 83.33%.