Rancang Bangun Sistem Pakar Untuk Mendiagnosis Penyakit Anak Menggunakan Metode Naive Bayes

NAY, Maria Elisabeth (2014) Rancang Bangun Sistem Pakar Untuk Mendiagnosis Penyakit Anak Menggunakan Metode Naive Bayes. Undergraduate thesis, Universitas Katolik Widya Mandira.

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Abstract

Health is very valuable to human life. Every human being can experience health disorders. Especially with a baby aged 0 year to children aged 5 years is a period of exploration. This is the golden period of development. Infants and children will pass through the stages of their growth and development. At this stage children tend to experience a variety of diseases that can interfere with daily activities so that parents also sometimes have difficulty in the healing process. To overcome these problems it is necessary to develop an expert system for diagnosing the disease in order to help the children of parents in diagnosing illness sianak according to the symptoms caused. System development methods used in developing expert systems is the childhood diseases that ESDLC method consists of several phases: assessment, knowledge acquisition phase, the design phase, the testing phase, the documentation phase and maintenance phase. Software used in the development of this expert system is php, mysql, dreamrever 8, xampp. And methods used in the development of expert systems is the child of disease Naive Bayes method. The results of the development of expert systems is the childhood diseases facilitate the parents in the child's early diagnosis of the disease appropriately.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Expert System, Children's Diseases, Naive Bayes
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: Fakultas Teknik > Program Studi Ilmu Komputer
Depositing User: S.Fil Lake Primus Sani
Date Deposited: 20 Mar 2023 01:10
Last Modified: 20 Mar 2023 01:10
URI: http://repository.unwira.ac.id/id/eprint/12392

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