期刊名称：Researchers World - Journal of Arts Science & Commerce
印刷版ISSN：2229-4686
电子版ISSN：2229-4686
出版年度：2018
卷号：9
期号：3
页码：119-125
DOI：10.18843/rwjasc/v9i3/15
出版社：Educational Research Multimedia & Publication
摘要：This study aims to to test internal financial factor company to financial distress in the year 2018
using data historical 2012-2018. The independent variable taken of a set the initial of du Jardin
variables in 2010. Secondary data was used in the study with 32 mining firms that listed on the
Indonesia Stock Exchange in 2012-2018 with purposive the sampling method of. A prediction done
by means of a utensil artificial analysis the skill of artificial neural network. The application of a
method of neural network used backpropagation algorithm. Architecture neural network used 3
layers (1 for input layer, 1 for hidden layer, 1 for output layer). The activation function used a
logarithm sigmoid (logsig). The value of mean square error (MSE) training a network is 0,001.
The results of forecasting neural network that there is no financial distress in 2018 with accuracy
of prediction reaches 84,375%. For the next researcher, it is expected to use several models and
several sectors as a comparison so that it can be proven which model is the most accurate in
predicting symptoms of financial distress.
