Design and Build Expert System Application for Diagnosing Facial Skin Disease based on Android

Abstract

Today, skin health is the main focus for women and men who want healthy, well-groomed and clean facial skin. The use of chemicals and other external materials allows potential disease for facial skin health. Diseases caused on the face are quite diverse from small to medium scale. The problem that often occurs in the community is the lack of knowledge and limited sources of information about facial skin health causing people to tend to let the disease happen. Based on the problems that have been described previously, this expert system was created to help the public understand the symptoms of facial skin diseases experienced and solutions to overcome these diseases. In the development of this expert system using the forward chaining method as the inference engine and the certainty factor method to determine the diagnostic confidence value. In designing this expert system application the user can choose the symptoms of facial skin diseases, then the output produced is the level of confidence, the possibility of the disease experienced and an explanation of the solution for the initial treatment of the facial skin disease. From the test results based on the Black Box, the results obtained 100% functionality runs according to the list of system requirements. In the accuracy test, a very good accuracy value is obtained, which is 100% of the 10 existing sample data.

Expert System of Facial Skin Type Diagnosis and Skincare Recommendation Based on Certainty Factor

“…The Certainty Factor method is a method for solving the problem of uncertainty with decision-making techniques and stating the results of answers or diagnoses based on data and opinions from scientists or experts. According to David McAllister's definition, Certainty Factor is a method in the form of a matrix used in processing the proof of definite and uncertain facts in an expert system [2], [9], [10]. Certainty Factor was first introduced by Shortliffe Buchanan in the manufacture of MYCIN.…”

“…Healthy facial skin is skin that is free of complaints or minimal complaints. Complaints in question such as acne, black spots, dullness, spots, and others [3], [9].…”

“…Forward Chaining Method, Certainty Factor Method, Naïve Bayes Method, are several methods that can be used to diagnose facial skin types. Certainty Factor (CF) [9], [12], [13] has been implemented in this experiment. The CF method performs human-to-computer reasoning to solve problems like an expert to get the results of a belief value diagnosis.…”

About One Implementation of an Expert System on the Android Platform

“…The article [19] proposes a model of a mobile medical application for Android for diagnosing breast cancer and daily health forecasting. The user interface is implemented using Android/Java programming, and the disease diagnosis part is developed using disease symptom data and using direct reasoning chain.…”