Syarif, Admi
(2020)
Implementation of fuzzy-profile matching in determining
drug suitability for hypertensive patients.
iops.
Abstract
Abstract. Treatments of patients with hypertension can be done in two ways, namely
modifying lifestyle and antihypertensive drugs. Generally giving hypertensive drugs depends
on age, history of illness, smoking habits, obesity and on diseases such as diabetes, kidney
failure, heart failure and ischemic heart disease. Inappropriate use of antihypertensive drugs
often causes complaints such as fever, diarrhea, diabetes, mouth breathing, nerve disorders,
radiation to the neck and head area. In providing hypertensive drugs that are appropriate to the
patient's condition, doctor and medical personnels are required to have high pharmacological
knowledge. Not all hospitals have pharmacology experts, therefore this study was conducted to
develop a model that can be used as a drug suitability model based on the patient's condition.
The method used in this study is Weight Matching Using Fuzzy Logic. Based on the results of
comparisons with expert 1 and expert 2, the results of the average system testing are obtained
with a value of 100% precision, recall 96.6% and accuracy 96.5%. Tests show that the
application with a fuzzy logic approach can increase the efficiency of 9.5% compared to the
interpolation weighting method.
Keywords: fuzzy logic, drug suitability, hypertensive patients, weight matching.
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Implementation of fuzzy-profile matching in determining
drug suitability for hypertensive patients. (deposited 05 Jun 2020 09:50)
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