TY  - THES
N1  - Pembimbing: Maria Ulfah Siregar, S.Kom., M.IT., Ph.D
ID  - digilib59013
UR  - https://digilib.uin-suka.ac.id/id/eprint/59013/
A1  - Dwi Larasati, NIM.: 19106050016
Y1  - 2023/04/04/
N2  - 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%.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Kecerdasan Buatan
KW  -  Penanganan Dini
KW  -  Sistem Kardiovaskular
KW  -  Konsultasi
M1  - skripsi
TI  - IMPLEMENTASI SISTEM PAKAR DETEKSI RISIKO SERANGAN
JANTUNG MENGGUNAKAN METODE BAYESIAN NETWORK
AV  - restricted
EP  - 109
ER  -