Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS)

Holle, Khadijah Fahmi Hayati, Ludviani, Resti and Cahyani, Laili (2016) Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS). Matics : Jurnal Ilmu Komputer dan Teknologi Informasi, 8 (2). pp. 44-47. ISSN 1978-161X(p); 2477-2550(e)

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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.

Item Type:	Journal Article
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080102 Artificial Life 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080108 Neural, Evolutionary and Fuzzy Computation 08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080301 Bioinformatics Software
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Khadijah Fahmi Hayati Holle
Date Deposited:	09 Jan 2017 16:10

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