Open AccessAplikasi Fuzzy Logic dalam Diagnosa Penyakit Diabetes Mellitus pada PUSKESMAS di Jakarta Timur
Author(s) -
Za’imatun Niswati,
Aulia Paramita,
Fanisya Alva Mustika
Publication year - 2016
Publication title -
jurnal nasional teknologi dan sistem informasi (teknosi) universitas andalas
Language(s) - English
Resource type - Journals
eISSN - 2476-8812
pISSN - 2460-3465
DOI - 10.25077/teknosi.v2i3.2016.21-30
Subject(s) - medicine , fuzzy inference system , diabetes mellitus , fuzzy logic , body mass index , pediatrics , computer science , artificial intelligence , adaptive neuro fuzzy inference system , fuzzy control system , endocrinology
— Patients with diabetes mellitus increased from year to year. This is due to delays in diagnosis of the disease and also because of unhealthy lifestyles. This study aims to create an application of decision support systems in the field of health, namely the diagnosis of the disease Diabetes Mellitus with Fuzzy Inference System (FIS) Mamdani, so that a layman can perform early diagnosis and immediate treatment. Decision Support System Techniques developed to improve the effectiveness of decision-makers. Samples are six puskesmas in East Jakarta. This application uses five variables as inputs consisting of glucose 2 hours after a meal, Diastolic blood pressure, body mass index, family history of diabetes, total pregnancies and one variable as output. The data obtained be processed using fuzzy logic approach to programming Matlab and made Graphical User Interface (GUI). Result is an expert system for diagnosis of Diabetes Mellitus .The trial results by midwives and nurses puskesmas is 100% of these applications in accordance with the doctor”s diagnosis. It is to help improve the quality of service in the Puskesmas in East Jakarta, thus satisfying the users and puskesmas be able to compete both nationally and internationally.