Sistem Pakar Deteksi Awal Penyakit Demam Menggunakan Metode Naive Bayes.

MAGA, Nourbeth Andry Yusuf (2019) Sistem Pakar Deteksi Awal Penyakit Demam Menggunakan Metode Naive Bayes. Diploma thesis, Universitas katolik Widya mandira.

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Abstract

Fever is one type of health that disrupts the productivity of everyone and can even cause death and still a health problem in the city of Kupang. Fever can caused by many factors including flu or infection. However, there are several types of fever that can be fatal if not treated properly. Most typea of fever occur due to viral infection, some of which can cause death. There are 8 tupes of fever that should be watched out for, namely Dengue Hemorrghagic Fever, Typhoid or Tipes, Malaria, Viral Syndrome, Chicken Guinea (Chikugunya), Meningitis, Urinary Tract Infection and HIV. Some of these types of fever have symptoms that are similar and difficult to distinguish so errors offten occur when diagnosing. The problem that occur in the study can be solved by an expert system that can help to diagnose the type of fever. This expert system use the Naïve Bayes method with the PHP programming language and MySQL database. This expert system can provide information about the diagnosis of the type of fever, its treatment, and the right and the fast alternative solutions by locking at the symptoms that arise without having to consult with an expert.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Expert System, Types of Fever, Naïve Bayes, PHP, MySQ.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RZ Other systems of medicine
Divisions: Fakultas Teknik > Program Studi Ilmu Komputer
Depositing User: Florentina B. Wenggu
Date Deposited: 08 Nov 2019 05:21
Last Modified: 08 Nov 2019 05:21
URI: http://repository.unwira.ac.id/id/eprint/841

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