PENGARUH KECUKUPAN MODAL, KREDIT BERMASALAH, EFISIENSI OPERASIONAL, DAN LIKUIDITAS TERHADAP PROFITABILITAS BANK UMUM MILIK NEGARA (PERSERO) TAHUN 2010-2016
| Main Author: | Kris’nanto, Alvin Adam |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/43378/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/43378/2/BAB%20I.pdf http://eprints.umm.ac.id/43378/3/BAB%20II.pdf http://eprints.umm.ac.id/43378/4/BAB%20III.pdf http://eprints.umm.ac.id/43378/5/BAB%20IV.pdf http://eprints.umm.ac.id/43378/6/BAB%20V.pdf http://eprints.umm.ac.id/43378/7/LAMPIRAN.pdf http://eprints.umm.ac.id/43378/ |
Daftar Isi:
- This research examines the profitability of State Owned Banks (Persero) totaling 4 Banks. The analytical tool used is linear regression multiple using panel data. In the model equation, ratio profitability is the dependent variable while Capital Adequacy, Problem Credit, Operational Efficiency and Liquidity are independent variables. The results of the study show that simultaneously (Test F) all independet variables affect the dependent variable with a significant value of 0.0000. While partially (Test T), the independent variable capital adequacy (CAR) has a positive and not significant effect on the dependent variable profitability (ROA). While the problem loan variable (NPL) has a negative and significant effect on the dependent variable profitability (ROA). While the operational efficiency variable (BOPO) has a negative and insignificant effect on the dependent variable profitability (ROA). And variable liquidity (LDR) has a negative and significant effect on the dependent variable profitability (ROA). Coefficient Determination (R2) of the regression results of 0.737 this shows the ability of independent variables in explaining changes in the dependent variable of 73.7% while the remaining 26.3% is explained by other variables outside the research. The results of OLS assumption test data analysis showed that there were no problems in multicollinearity, heteroscedasticity and autocorrelation so that multiple linear regression equations were feasible for research on State-Owned Public Bank Companies (Persero) during the period of 2010 2016.