Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS)
Journal: Matics (Vol.8, No. 2)Publication Date: 2016-09-25
Authors : Khadijah Fahmi Hayati Holle; Resti Ludviani; Laili Cahyani;
Page : 81-84
Keywords : ANFIS; Hearth Disease; Neuro Fuzzy; UCI data;
Abstract
The number of uncertain risk factor in heart disease makes experts difficult to diagnose its disease. Computer technology in the health field is mostly used. In this paper, we implement a system to diagnose heart disease. The used method is Adaptive neuro-fuzzy inference system which combine the advantage of fuzzy and neural network. The used data is UCI Cleveland data that have 13 attributes as inputs. Output system diagnosis compared with observational data for evaluation. System performance tested by calculating accuracy. Tests were also conducted on the variation of the learning rate, iteration, minimum error, and the use of membership functions. Accuracy obtained from test is 65,657% where using membership function Beta
Other Latest Articles
- KLASIFIKASI DAN IDENTIFIKASI JUMLAH KOLONI PADA CITRA BAKTERI DENGAN METODE K-NEAREST NEIGHBOR
- Penerapan Fitur Warna Untuk Identifikasi Plasmodium Falciparum pada Sediaan Apus Darah Menggunakan MK-Means dan Jaringan Backpropagation
- Implementasi Manajemen Bandwidth Dengan Disiplin Antrian Hierarchical Token Bucket (HTB) Pada Sistem Operasi Linux
- Identifikasi Pola Penggunaan Lahan pada Sektor Perikanan dan Peternakan Berbasis Sistem Informasi Geografis
Last modified: 2016-11-29 14:31:18