Analisis Perbandingan Prediksi Kebangkrutan Perusahaan dengan Menggunakan Multivariate Discriminant Analysis dan Regresi Logistik pada Perusahaan Pertambangan Batubara Periode 2010-2014

This research objective is to predict the bankruptcy in sector property and real estate which listed in Indonesia stock exchange: using discriminant analysis and logistic regression period 2010-2014. Sampling methods used in the research was purposive sampling. The hypothesis examination is tested by discriminant analysis and logistic regression analysis to determine significant differences in financial ratios such as current ratio, leverage ratio, net profit margin, debt to equity, operating profit margin, total asset turnover to distinguish a group of companies that are considered insolvent and not statistically bankrupt on listed companies in Indonesia stock exchanges in coal mining sector during the period of 2010-2014. The data source of this research come from Indonesia Stock Exchange (IDX).The result of this research showed that the accuracy of the models using Discriminant analysis was 80.4% and Logistic Regression Analysis was 88.2%. In the discriminant analysis showed that the significant variables were leverage ratio and net profit margin. As for the second logistic regression showed that significant variables were leverage ratio, net profit margin, and total assets turnover that could affect the company's bankruptcy prediction coal mining sector in the period 2010 to 2014. Keywords— bankruptcy, current ratio, leverage ratio, net profit margin, debt to equity, operating profit margin, total asset turnover, logistic regression. discriminant analysis

Analisis Penggunaan Metode Risk Profile, Good Corporate Governance, Earning, and Capital (Rgec) Dalam Mengukur Kesehatan Bank Pada Bank Umum Syariah Di Indonesia Periode 2012-2014

This research aims to analyze the USAge of Risk Profile, Good Corporate Governance, Earning and Capital (RGEC) method to measure bank health on Islamic Banks in Indonesia between 2012-2014. This research used RGEC method which is an innovation from Capital, Asset, Management, Earning, Liquidity and Sensitivity to Market Risk (CAMELS) method to analyze and measure bank health by using composite rank calculation on financial report. Total Islamic banks in this research are 11 banks, which are Bank Syariah Mandiri, BNI Syariah, Bank Muamalat Syariah, Bank Mega Syariah, BRI Syariah, BCA Syariah, Bank Syariah Bukopin, Bank BJB Syariah, Bank Panin Syariah, Bank Maybank Syariah and Bank Victoria Syariah. The result during 2012-2014 period showed that bank with the healthiest predicate in 2012 was Bank Muamalat Syariah, and in 2013 were Bank BNI Syariah and Bank Mega Syariah 2013 also in 2014 were bank Bank Panin Syariah and Bank BNI Syariah