jeti
Vol 2 No 2 (2021): September 2021

Sistem Pakar Diagnosa Hipertensi Dengan Algoritma Naive Bayes

Azhar (Unknown)



Article Info

Publish Date
30 Sep 2021

Abstract

Many factors that affect public health such as smoking, rarely exercise, consume foods that contain lots of salt and so forth. So human blood becomes abnormal and can cause death. This high blood disease is suffered in pregnant women and adults over 30 years. This disease should be frequently consulted by a doctor to be able to cope with sudden blood ascending from normal blood. So people who suffer from this disease should be more often in checking high blood presure based on the above problems then built a system of expert diagnosis of hypertensive disease that can diagnose early to overcome the disease. Expert system method used is naive bayes. This system is built to overcome certainty and uncertain on the intensity of different symptoms - different on each disease, so users can know the type of disease suffered by the user and treatment to overcome the disease. Based on the calculation, obtained the percentage of disease success in the expert system that is equal to 84.61% and the unsuccessful of 15.38% of the 13 data that have been tested on the expert system.

Copyrights © 2021






Journal Info

Abbrev

jet

Publisher

Subject

Computer Science & IT

Description

Diterbitkan oleh LPPM (Lembaga Penelitian dan Pengabdian Kepada Masyarakat) Universitas Islam Kebangsaan Indonesia (UNIKI) Bireuen- Aceh, bekerja sama dengan Fakultas Komputer dan Multimedia (FKOM) UNIKI. Terbit dua kali dalam setahun (Maret dan September). Terbit perdana pada 23 Maret 2020, dengan ...