Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal SISFOTENIKA
Fajar Y Zebua
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PEMODELAN DETEKSI PENYAKIT SIROSIS HATI DENGAN MENGGUNAKAN JARINGAN SYARAF TIRUAN Fajar Y Zebua; Sri Hasta Mulyani; Marselina Endah H.
SISFOTENIKA Vol 2, No 2 (2012): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.456 KB) | DOI: 10.30700/jst.v2i2.71

Abstract

Abstract : Liver (liver) is the largest organ in the human body. In the hearts of many important processes occur in human life. Unfortunately, although the liver is essential for life, the liver is also susceptible to disease. Cirrhosis of the liver is one type of heart disease. Cirrhosis of the liver is a common chronic liver disease, caused by damage to the liver. Our research was made of a disease modeling to simulate using neural networks with backpropagation method to determine the causes and symptoms of liver cirrhosis. Modeling is expected to detect the disease early cirrhosis of the liver so it can be preventative or further action. Keywords: liver, cirrhosis of the liver, neural networks, backpropagation.
Co-Authors Marselina Endah Hiswati Sri Hasta Mulyani