@thesis{thesis,
		author={Pungky   Rionaldy},
		title ={ANALSISI PENGARUH RASIO KEUANGAN UNTUK MEMPREDIKSI
KONDISI FINANCIAL DISTRESS PADA PERUSAHAAN MANUFAKTUR
YANG TERDAFTAR DI BURSA EFEK INDONESIA},
		year={2010},
		url={http://www.upnjatim.ac.id},
		abstract={Bankruptcy of a company can be seen and measured through financial
reports. Financial Statements issued by the company is one source of information
about the company's financial position, performance and changes in financial
position, which is very useful to support decision-making. Financial distress
occurs before bankruptcy.
Variable ratio current research is, working capital to total assets, the
structure of assets, return on investment, return on equity, net profit margin, and
debt ratio, and a company's financial distress. Samples are manufacturing
companies listed on the Stock Exchange with the company as much as 60-year
observation period in 2005 until the year 2008. Using simple random sampling
and Non Random Sampling with purposives sampling method. The analytical
method used is logistic regression.
This research hypothesis is not verified, it can be seen from the Wald test
results (Table 4.10) indicates that the current ratio variable (X1) with a positive
sign of the relationship, working capital to total assets (X2) with a negative sign
of the relationship, the structure of assets (X3) with relations negative sign, return
on investment (X4) with a sign the relationship is negative, return on equity (X5)
with a negative sign relations, net profit margin (X6) with a positive sign of the
relationship, and the debt ratio (X7) with a negative sign of the partial relationship
did not influence to the financial distress of a company (Y). The resulting
regression model is suitable and accurate with 100% accuracy rate, as well as the
ability of current ratio variable (X1), working capital to total assets (X2), the
structure of assets (X3), return on investment (X4), return on equity (X5), net
profit margin (X6), and debt ratio (X7) variables in explaining financial distress of
a company (Y) is approximately 100%}
		}