Scientific Journal of Informatics
Vol 5, No 1 (2018): May 2018

Implementation of Decision Tree and Dempster Shafer on Expert System for Lung Disease Diagnosis

Alfatah, Abdul Muis (Unknown)
Arifudin, Riza (Unknown)
Muslim, Much Aziz (Unknown)



Article Info

Publish Date
21 May 2018

Abstract

The expert system is a computer system that contains set of rules to solve problems like an expert. The lungs are one of the vulnerable respiratory organs. The purpose of this research is to implement decision tree and dempster shafer method on lung disease diagnosis and measure the accuracy of the system. The symptom was searched using forward chaining decision tree and the diagnosis was calculated using dempster shafer method. Dempster Shafer method calculates the possibility of a lung disease based on the density of probability value that possessed by each symptom. This research used 65 data obtained from medical record of Puskesmas Tegowanu Grobogan Regency. General symptoms and types of disease are used as a variable. Based on the results of the study, it can be concluded that the results of the diagnosis using dempster shafer method has an 83.08% accuracy.

Copyrights © 2018






Journal Info

Abbrev

SJI

Publisher

Subject

Computer Science & IT

Description

Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and ...