Aplikasi Diagnosa TBC Menggunakan Metode Naive Bayes

Marwati, Linda and , Yusuf Sulistyo Nugroho., S.T., M.Eng. (2016) Aplikasi Diagnosa TBC Menggunakan Metode Naive Bayes. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

The rapidgrowth of information technology led people are to utilize this technology. Many information technologies such as application systems are used for helping people to do their work becomes easier and practical. In the world of health, tuberculosis (TB) is known as an infectious disease caused by the bacteria of the Mycobacterium group which is Mycobacterium tuberculosis. The disease can be transmitted, thus requiring health services quickly and to cure tuberculosis appropriately. Given these problems, we application that can be used to diagnose TB disease earlier. Therefore the treatment of this disease can be done immediately because of its. Multiple risk factors and symptoms causing tuberculosis. This study is done to help the community to be more active to check in on the factors and symptoms of TB disease. Naïve Bayes is used to predict is whether a person has the disease or not, used variables that include risk factors for tuberculosis and caused symptoms such as smoke, humidity, state house, diabetes, hiv, cough, shortness of breath, chest pain, bloody sputum, fever , decreased appetite, weight loss, and sweating at night. The result of this study is an application system that can help people to diagnose TB earlier, which can serve as guidelines for further examination at the hospital.

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	aplikasi, data mining, naïve bayes, tuberculosis, prediksi
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Depositing User:	LINDA MARWATI
Date Deposited:	03 Aug 2016 03:20
Last Modified:	03 Aug 2016 03:20
URI:	http://eprints.ums.ac.id/id/eprint/44772

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