JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Vol 5, No 1 (2017): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI

SISTEM PENUNJANG KEPUTUSAN DIAGNOSA PENYAKIT STROKE DENGAN METODE NAIVE BAYES

Rendy Ramadhiansa (Unknown)



Article Info

Publish Date
25 Aug 2017

Abstract

The purpose of this research is to create an application that is used by the community for diagnosing a stroke on himself by knowing the symptoms experienced and input it into the application. The method used is Naive Bayes method which is calculated based on the probability of the data obtained previously. The data obtained is used into useful information such as systolic blood pressure, blood pressure diastolic, Paralysis door body (tetraparesis, monoparesis, paraparesis and hemiparesis), mouth oblique, loss of speech, loss of taste next to the body, decreased awareness, impaired function of the noble and headaches. The final result of this application is expected to help the general public to make the diagnosis of stroke in order to follow up more quickly if the application diagnose the possibility of having a stroke with an accuracy of 96.58%.

Copyrights © 2017






Journal Info

Abbrev

jiksi

Publisher

Subject

Computer Science & IT Mathematics Other

Description

Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar) Jakarta sebagai media publikasi karya ilmiah mahasiswa program studi Teknik Informatika dan Sistem Informasi FTI Untar. Karya-karya ilmiah yang dihasilkan berupa hasil ...