relation: https://digilib.uin-suka.ac.id/id/eprint/59013/
title: IMPLEMENTASI SISTEM PAKAR DETEKSI RISIKO SERANGAN  JANTUNG MENGGUNAKAN METODE BAYESIAN NETWORK
creator: Dwi Larasati, NIM.: 19106050016
subject: Tehnik Informatika
description: A heart attack is a medical emergency that can be fatal if it is not treated  immediately at the nearest hospital. Therefore, to determine what percentage of a  person has a risk of having a heart attack, early detection using technology is  necessary. In order to prevent heart disease, which can result in death, it is  important to detect the risk early. Expert systems are one way to do this.  The expert system was developed using the Bayesian Network method in order  to determine what percentage of a person is at risk for a heart attack based on a  person's different factors. There are five factors, namely age, gender, smoking  habits, systolic blood pressure, and total cholesterol. The Bayesian Network method  combines principles from graph theory, probabilistic, computer science, and  statistics so that it can be applied in consulting calculations.  Testing was carried out using alpha and beta testing methods. The results of  beta testing are that the system is fully functional and 89.1% of users are satisfied  with using the system. While testing the accuracy of the system is done by  comparing the results of system consultation with a doctor's diagnosis using thirty  test data and obtaining an accuracy of 90%.
date: 2023-04-04
type: Thesis
type: NonPeerReviewed
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/59013/1/19106050016_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/59013/2/19106050016_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf
identifier:   Dwi Larasati, NIM.: 19106050016  (2023) IMPLEMENTASI SISTEM PAKAR DETEKSI RISIKO SERANGAN JANTUNG MENGGUNAKAN METODE BAYESIAN NETWORK.  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.