Fuzzy logic implementation for diagnosis of Diabetes Mellitus disease at Puskesmas in East Jakarta

This study aims to implement the application of decision support system in the health sector that is Diabetes Mellitus disease diagnosis with Fuzzy Logic method, so that the layman can do diagnosis early and can immediately do the treatment. Decision Support System Techniques are developed to improve the effectiveness of decision makers. The sample in this research is 6 Puskesmas in East Jakarta. This application uses five variables as inputs consisting of plasma glucose concentration 2 hours, diastolic blood pressure, body mass index, diabetes pedigree function, pregnant and one variable as output. The data obtained is processed using fuzzy logic approach with matlab programming and created Graphical User Interface (GUI). Furthermore, the implementation is done in Puskesmas Kecamatan Pasar Rebo and Puskesmas Kecamatan Kramat Jati, Testing includes validation testing, questionnaire testing and application testing and then determined the accuracy value. The test results indicate that the diabetic disease diagnosis system built meets the expected basic criteria for the feasibility of system services in general and in line with the expectations of the Puskesmas management. This application has a value of 96% accuracy so that it can help improve the quality of services in Puskesmas and can satisfy users.