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

Authors

  • Sarinawati Sarinawati Universitas Labuhanbatu, Indonesia
  • Gomal Juni Yanris Universitas Labuhanbatu, Indonesia
  • Rahma Muti’ah Universitas Labuhanbatu, Indonesia

DOI:

10.33395/sinkron.v7i2.11425

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.

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How to Cite

Sarinawati, S., Yanris, G. J. ., & Muti’ah, R. . (2022). Design and Build Expert System Application for Diagnosing Facial Skin Disease based on Android. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 6(2), 737-745. https://doi.org/10.33395/sinkron.v7i2.11425

Issue

Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022

Section

Articles

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Copyright (c) 2022 Sarinawati Sarinawati, Gomal Juni Yanris, Rahma Muti’ah

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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