SISTEM PAKAR DIAGNOSA PENYAKIT JANTUNG KORONER DENGAN METODE PROBABILISTIC FUZZY DECISION TREE

Jurnal Sains dan Informatika

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Title SISTEM PAKAR DIAGNOSA PENYAKIT JANTUNG KORONER DENGAN METODE PROBABILISTIC FUZZY DECISION TREE
 
Creator Aulia, Wizra; Akademi Manajemen Informatika dan Komputer (AMIK) "Boekittinggi"
 
Subject expert system, Probabilistic Fuzzy Decision Tree, PFID3 algorithm, coronary heart
 
Description Di Indonesia, penyakit jantung koroner menempati posisi pertama sebagai penyakit yang paling banyak mengakibatkan kematian. Jika gejala penyakit jantung koroner  dikenali sejak dini maka dapat dilakukan tindakan antisipasi. Diagnosa dilakukan berdasarkan 6 gejala penyakit jantung koroner yaitu sakit dada, tekanan darah tinggi, kolesterol, kadar gula darah, hasil EKG dan jumlah denjut jantung. Metode yang dipakai adalah Probabilistic Fuzzy Decision Tree (PFDT) dengan algoritma  Probabilistic Fuzzy  ID3. Hasil keakuratan sistem pakar diagnosa penyakit jantung koroner dengan metode PFDT mencapai 95%.In Indonesia, coronary heart disease the first position as the disease that most resulted in death. If symptoms of coronary heart disease are recognized early on, anticipatory action may be taken. Diagnosis is based on 6 symptoms of coronary heart disease  chest pain, high blood pressure, cholesterol, blood sugar, ECG results and heartbeat. The method used is Probabilistic Fuzzy Decision Tree (PFDT) with Probabilistic Fuzzy ID3 algorithm. The result of accuracy of expert system of diagnosis of coronary heart disease by PFDT method reached 95%.
 
Publisher Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah X
 
Contributor
 
Date 2018-11-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ejournal.kopertis10.or.id/index.php/sains/article/view/3258
10.22216/jsi.v4i2.3258
 
Source Jurnal Sains dan Informatika : Research of Science and Informatic; Vol 4, No 2 (2018): Sains dan Informatika; 106-117
Jurnal Sains dan Informatika; Vol 4, No 2 (2018): Sains dan Informatika; 106-117
2502-096X
2459-9549
 
Language eng
 
Relation http://ejournal.kopertis10.or.id/index.php/sains/article/view/3258/1231
 
Rights Copyright (c) 2018 Wizra Aulia
http://creativecommons.org/licenses/by-sa/4.0
 

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