PENILAIAN TINGKAT KESEHATAN PERBANKAN INDONESIA MENGGUNAKAN FUNGSI PELUANG REGRESI LOGISTIK

Abstract

Decision making in all aspects is always subject to failure and success. In that involved probability of being success or fail. It is always expected that a decision should be 100% correct (success), but due to several reasons (method, data availibility, inconsistent data, etc) lead to a failure in the result. The impact of this fault to the society or the parties involved, could be severe, depending on the nature of decision. To predict the bancruptcy of business, in 1960s Altman developed a discriminant analysis model. This paper, however, is intended to compare the logit model and the CAMELS model to evaluate the decision made by the Central Bank of Indonesia in 1998, on the bancruptcy of private banks in Indonesia.