KOMBINASI METODE DEMPSTER SHAFER DAN DECISION TREE UNTUK DIAGNOSA PENYAKIT YANG DISEBABKAN OLEH BAKTERI SALMONELLA PADA MANUSIA

YANSA, DENNY MARANTHA LA and Primartha, Rifkie and Arsalan, Osvari (2018) KOMBINASI METODE DEMPSTER SHAFER DAN DECISION TREE UNTUK DIAGNOSA PENYAKIT YANG DISEBABKAN OLEH BAKTERI SALMONELLA PADA MANUSIA. Undergraduate thesis, Sriwijaya University.

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Abstract

Infection from salmonella bacteria can show the characteristics of more than one disease types, so it is necessary to meet the doctor to find out the disease accurately. But sometimes the patient does not see a doctor because of time or cost constraints. Dempster-shafer is a method used to combine symptoms chosen by the user where each symptom has a density probability value to calculate the probability of an illness. The percentage of diagnosis accuracy value from Dempster-Shafer is 88%,while the Decision Tree method show diagnosis accuracy with only 10%. However, when these two methods were combined, the percentage of disease diagnosis accuracy was 88%. So it can be concluded that the DempsterShafer method is suitable to be combined with the Decision Tree method.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Dempster-Shafer, Decision Tree, Expert System, Combination, Salmonella Diseases.
Subjects:	R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	30 Sep 2019 02:46
Last Modified:	30 Sep 2019 02:46
URI:	http://repository.unsri.ac.id/id/eprint/9540

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