Implementasi Sistem Pakar Deteksi Dini Resiko Penyakit Jantung Koroner Menggunakan Metode Backward Chaining dan Certainty Factor pada Android
Abstract
Lifestyle in the modern era today can have a harmful impact on ourlives, one of which is coronary heart disease. Coronary heart
disease is the chronic and acute heart's inability to pump
oxygenated blood due to a lack of blood supply in the heart's muscle
cells.
This research, using the backward chaining method, serves to trace
the facts and combine them with hypotheses that can strengthen
those facts. Certainty factor is the method used to measure the
certainty of the facts that have been made and provide results in the
form of scoring to determine the level of accuracy of the facts that
have been given by experts.
This research will produce an expert-system application that is
useful for early detection of coronary heart disease. Output will be
in the form of grouped results, which is the results of a person's
potential risk of coronary heart disease, along with a percentagebased risk potential of developing said disease. It is hoped that the
creation of this system will make it easier for a person to detect the
disease based on daily habits, so it can later be used as the initial
diagnosis whether or not a person has said disease.
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