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DESAIN DAN IMPLEMENTASI SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT PARU DAN SALURAN PERNAFASAN MENGGUNAKAN METODE FUZZY RULE BASED

Novilia, Nadiya (2012) DESAIN DAN IMPLEMENTASI SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT PARU DAN SALURAN PERNAFASAN MENGGUNAKAN METODE FUZZY RULE BASED. Other thesis, University of Muhammadiyah Malang.

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Abstract

The lungs are one of the vital organs of a human life to breathe. If the human lung disorders, it will have fatal consequences for human life. So it should be the lung is the organ that needs to be maintained in daily health. Expert system is a method of artificial intelligence sciences to be made an application program and the diagnosis of lung diseases in the human respiratory tract are computerized and seek to replace and mimic the reasoning process of an expert or specialist in solving the problem specification that can be said to be a duplicate of an expert because science knowledge is stored in a database system. Expert System Diagnosis of Pulmonary and Respiratory Diseases In Humans use fuzzy methods in processing the data on the knowledge-based systems. Fuzzy method of partial knowledge of the truth. This is especially useful for systems that have made human-like intelligence. Fuzzy Set method is a generalization of crisp sets where the elements in a set has a value of the interval 0 to 1. Knowledge-based system used to store information from experts about the relationship between the symptoms with a disease according to the intensity and frequency. Applications created with the PHP programming language and MySQL database. Testing of this software is to include some of the symptoms then the extent to which the software is able to make conclusions containing the disease symptoms.

Item Type: Thesis (Other)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Halimatus Zahroh
Date Deposited: 12 Nov 2015 06:33
Last Modified: 12 Nov 2015 06:33
URI : http://eprints.umm.ac.id/id/eprint/19212

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