Decision Support System for Diagnosing Diabetes Mellitus through a Fuzzy Inference System (FIS) Approach with the Tsukamoto Method
| Main Author: | Tolang, Upic Resta Fauziah |
|---|---|
| Format: | Naskah Publikasi NonPeerReviewed Book |
| Bahasa: | ind |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.uad.ac.id/14308/1/IJSP%20UPIC%20FIX%20%28inggris%29.doc http://eprints.uad.ac.id/14308/ |
Daftar Isi:
- The number of people with diabetes mellitus has increased every year. This is due to the delay in diagnosing the disease. And Indonesia ranks 10th in the number of diabetics in the world. Patients with the disease usually do not realize that they suffer from diabetes mellitus. In this study, a support system for decision making for diabetes mellitus was made using the Tsukamoto method. The supporting variables for diagnosing the disease are used in the formation of fuzzy sets. Fuzzy sets that are processed by the Tsukamoto method so as to produce a decision. The application that has been designed has been tested by involving a medical record of diagnosis from a doctor, the results of the decision produced from the method are the same as the doctor's diagnosis listed in the medical record. In general, this web-based application can be used as a tool in enforcing the diagnosis of diabetes mellitus. The results of the SPK calculation are not different from the results of blood glucose examination by doctors, this is indicated by the SPK validity test using two hundred and twelve types of sample data and produce a DSS validity level of 96%.