Population used in this research is Public Banks roomates listing in the Stock Exchange during the year 2012-2016. In this research the sampling technique used is purposive sampling technique, so that Obtained 4 Banks. The secondary of data used is derived from the quarterly financial statements of Bankss that have been published from the official website of the Financial Services Authority or Otoritas Jasa Keuangan (OJK). Data analysis method used in this research is moderated regression analysis. The results of this research indicate that (1) Non Performing Loans (NPL) variable has a negative and no significant influence on the Distributed Credit so that the first hypothesis is accepted. This is indicated resources by the value of t-test -1,913 the which shows the direction of a negative relationship. (2) The BI Rate variable Strengthens the influence of Non Performing Loans (NPL) on the Distributed Credit so that the second hypothesis is accepted. This is indicated resources by the value of t-test 0,607 the which indicates the direction of a positive and no significant relationship. (3) Loan to Deposit Ratio (LDR) variable has a negative and and no significant influence on the Distributed Credit so that the third hypothesis is accepted. This is indicated resources by a t-test of -0,172 indicating the direction of a negative relationship. (4) The BI Rate variable Strengthens the influence of the Loan to Deposit Ratio (LDR) on the Distributed Credit so that the fourth hypothesis is accepted. This is indicated resources by a t-test of 0,463 indicating the direction of a positive and no significant relationship. The results showed that the variables of Non Performing Loan (NPL), Loan to Deposit Ratio (LDR), and BI Rate simultaneously significantly affect toward credit distribution.