Skripsi

PERBANDINGAN METODE DEMPSTER SHAFER DAN DECISION TREE UNTUK DIAGNOSA VIRUS INFLUENZA PADA MANUSIA

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Penilaian

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Influenza is a disease caused by the influenza virus that can easily attack anyone. In this study compared the Dempster Shafer and Decision Tree methods for the diagnosis of influenza disease in humans. The Decision Tree method establishes rules for diagnosing influenza in humans as a support in making decisions about the disease suffered. Uncertainty calculations are needed in expert systems so that system diagnostic results can be as accurate as an expert. One method for performing uncertainty calculations is to use the Dempster Shafer method. So the purpose of this study is to find a comparison of the Dempster Shafer and Decision Tree methods for the diagnosis of influenza which is obtained through experts totaling 17 symptoms and 3 types of diseases. This study used 61 test data obtained from the practice of Dr. Nyayu Aisyah. From the test results, the Dempster Shafer method obtained an accuracy percentage of 65% while the Decision Tree method obtained an accuracy percentage of 91%. It can be concluded that the Decision Tree method is better than the Dempster Shafer method in diagnosing influenza.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307002402	T112883	T1128832023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T1128832023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xvi, 116 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

001.420 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Metode
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

FIRA

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