APLIKASI PENGENALAN KELAINAN JANTUNG DENGAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION VARIASI PERUBAHAN BOBOT BERKELOMPOK; HEART DEFECT RECOGNITION APPLICATION WITH BACKPROPAGATION ATRIFICAL NEURAL NETWORK METHODE COLLECTIVE WEIGHT SHIFTING VARIATION

Ikhwan, Hamdi, Panggih Basuki

2015 | Skripsi | FMIPA

In this research has been implemented an application “Heart Defect Recognition Application with Backpropagation Atrifical Neural Network Methode Collective Weight Shifting Variation”. This system implementing ANN ability to recognize spectrum of heart sound defect. This system was designed with ANN dan GUI MATLAB’s fiture. The type of heart defect to recognize are Aortic regurgitation, Mitral stenosis, and Pulmonary Stenosis. This system, was started with selecting the heart sound, then labeling it as database to identification the heart sound. The saved database will be trained with Backpropagation ANN. The result was used for identification heart sound defect sample. And then make the application with using GUI. From the result, can be known that the system can recognized heart defect with accuracy are Aortic Regurgitation 80%, Mitral Stenosis 90%, and Pulmonary Stenosis 90%.

Kata Kunci : Heart; Sound; Atrifical Neural Network