HAMIDI, MUHAMMAD LABIB FAKHRIJAL (2021) SISTEM DIAGNOSIS PENYAKIT DIABETES MELLITUS MENGGUNAKAN ALGORITMA BACKPROPAGATION (STUDI KASUS: PUSKESMAS MLATI 1). Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
A DISEASE DIAGNOSE SYSTEM OF DIABETES MELLITUS USING THE BACKPROPAGATION ALGORITHM (Studi Kasus: Puskesmas Mlati 1) MUHAMMAD LABIB FAKHRIJAL HAMIDI Department of Informatics, Faculty of Science & Technology University of Technology Yogyakarta North Ringroad St., Jombor Sleman Yogyakarta E-Mail: syariffakhr@gmail.com ABSTRACT Research on the relationship between natural phenomena is the basis of the aims of science and plays an essential role in decision-making in everyday life. An example is to detect diabetes mellitus. Pattern recognition technology with artificial neural networks (ANN) can be utilized in this problem by creating an early detection system for whether or not a patient has diabetes mellitus. Diabetes mellitus is a chronic disease caused by the failure of the pancreas to produce adequate amounts of the hormone insulin, which causes an increase in glucose levels in the blood. Diabetes mellitus is a non-communicable disease and is a significant public health problem. In general, diabetes patients are divided into two types: type one diabetes, which usually appears at a young age or children, and type two diabetes, which occurs in adulthood. There is no wet or dry type of diabetes in the medical context. Wounds that do not heal and tend to cause limb amputation are complications due to uncontrolled blood sugar levels and blood vessel complications. The disease can occur in both type 1 diabetes mellitus and type 2 diabetes mellitus. Therefore, a diabetes mellitus diagnosis system was created using the backpropagation algorithm that uses the Matlab application. It is hoped that people who seek treatment can be diagnosed with this system effectively and efficiently to facilitate the doctor's work on duty at Mlati 1 Puskesmas. Keywords: System, Backpropagation, Disease, Diabetes Mellitus
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 29 Oct 2021 03:23 |
| Last Modified: | 29 Oct 2021 03:23 |
| URI: | http://eprints.uty.ac.id/id/eprint/8639 |
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