Published: 2021-09-20
Implementasi Metode Penalaran CBR dalam Mengidentifikasi Gejala Awal Penyakit Jantung menggunakan Algoritma Sorensen Coeffient
DOI: 10.35870/jtik.v5i3.220
Abstract
Heart disease is a condition when the heart is experiencing a disorder. The forms of disturbance that are experienced are usually various. Usually there is a disturbance in the blood vessels of the heart, heart rate, heart cover, or congenital problems. The heart itself is a muscle consisting of four chambers. That is, the first two rooms are located at the top, the atrium (foyer) to the left and right. Then the other two rooms are at the bottom, namely the right and left ventricles. To provide information on how to diagnose the type of disease and how to control heart disease, an application of an expert system that can represent someone who is an expert in their field is needed to provide solutions to this disease problem using the Case-Based Reasoning method with the Sorensen Coeffient approach. The result of this research is the creation of an expert system for diagnosing heart disease using the Case-Based Reasoning method with the Sorensen Coeffient approach which is able to provide solutions to heart disease.
Keywords
CBR; Expert system; Heart Disease; Method Sorensen Coeffient
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 5 No. 3 (2021)
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Section: Computer & Communication Science
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Published: 2021-09-20
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License: CC BY 4.0
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Copyright: © 2021 Authors
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DOI: 10.35870/jtik.v5i3.220
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No author biographies available.
-
Mardiani, E., Rahmansyah, N., Kurniawan, H. and Sensuse, D.I., 2016. Kumpulan Latihan SQL. Elex Media Komputindo.
-
Kusumadewi, Sri., 2010. Artificial Intellegence. Yogyakarta: Graha Ilmu.
-
Mukhtar, M. and Munawir, M., 2018. Aplikasi Decision Support System (DSS) dengan Metode Fuzzy Multiple Attribute Decission Making (FMADM) Studi Kasus: AMIK Indonesia Dan STMIK Indonesia. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 2(1), pp.57-70.
-
Akbar, R., 2018. Perancangan Aplikasi Perangkingan Perguruan Tinggi Menggunakan Fuzzy Simple Additive Weighting (SAW)(Studi Kasus: 25 PT Wilayah Kopertis XIII Provinsi Aceh). Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 2(1), pp.1-10.
-
Arhami, Mohammad., 2012. Konsep Dasar Sistem Pakar. Yogyakarta: Andi.
-
Rhomadhona., 2017. Sistem Pakar Diagnosa Penyakit Jantung Menggunakan Metode CBR.
-
Shalahuddin, M., & Sukamto, R. A., 2014. Rekayasa Perangkat Lunak Terstruktur dan Berorientasi Objek (Vol. Cetakan Kedua). Bandung: Informatika.
-
Yunanri, Yuwono, dan Windarti., 2020. Systematic of Expert System Base on Software and Calculation Method
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