ANALISIS PENGARUH KESEHATAII KEUAIYGAII BAFTK TERIIADAP KONTRIBUSI SOSIAL BAIIK T]MT]M SYARHII INDONASIA

• Main Authors: , SANDI ANDIKA, , Tri Widodo, P.hD
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2011
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/90852/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=52767
• Institution: Universitas Gadjah Mada

The growth of Islamic banking after the issuance of Law No. l0 of 1998 is very significant, previously there was only one Islamic bank of BMI in 1992. The mushrooming of Islamic banks in the midst of the Muslims in Indonesia are expected to provide significant changes to the problems that plagued the people of Indonesia that is poverty and a wide range of other social inequalities. Thus, as an Islamic-basedbat*ing, Islamic banks should certainly provide a balance between the achievements of Islamic banks in this case is identified by the soundness of Islamic banks with a social contribution. The purpose of this study was to determine the condition of the financial health of Islamic banks, Islamic banks condition of social contribution and analyze keterpengaruhan between the Islamic bank's frnancial health with the social contribution of Islamic banks. The method used in this research is descriptive quantitative analysis. The object of this study is 3 (tfuee) Islamic banks namely Bank Muamalat Indonesia (Blnfl), Bank Syariah Mandiri (BSM) and Bank Syariah Mega Indonesia (BMSD. Period of this study for 7 (seven) years from 2004 to 2OlO. Through descriptive analysis is known that Islamic banks in general health in a healthy state with the highest credit scores get a BMI of 97.74 and then BMSI BSM credit scoring 89.31 and 85.48. Whi,l� the social contrjbution of Islamic banks are generally in pretty good condition, BSM received the highest credit score of 71.85 then BMSI and BMI with each of the credit score of 68.35 and 68.07. Analysis of the data used are panel data regression analysis with 3 (three) approaches the Pooled Ordinary Least Squares (PLS), Fixed Effect Method (FEM) and Random EfiFects Method (REM) Through the selection of models with Chow and Hausman Test Test produced the most effective model is the method of PLS. Based on the PLS method performed the t test, it is known that the independent variables (financial soundness of Islamic banks) did not significantly influence the dependent variable (social contributions of Islamic banks) by 1.80 tstatistic <t-table at the 2.09 level of significance o : SYo. Coeffrcient of determination R2 show that the financial health of the independent variables of Islamic banks are able to explain variations in social contributions of Islamic banks by 14% the remaining360/o is explained by other variables (error term) are not included in the equations of this model.