PERBANDINGAN FAKTOR YANG MEMPENGARUHI PROFITABILITAS BANK DEVISA DAN BANK NON DEVISA YANG GO PUBLIC DI BURSA EFEK INDONESIA TAHUN 2012-2016
| Main Author: | Saputro, Bobi Wage |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/42201/1/Pendahuluan.pdf http://eprints.umm.ac.id/42201/2/BAB%20I.pdf http://eprints.umm.ac.id/42201/3/BAB%20II.pdf http://eprints.umm.ac.id/42201/4/BAB%20III.pdf http://eprints.umm.ac.id/42201/5/BAB%20IV%20.pdf http://eprints.umm.ac.id/42201/6/BAB%20V.pdf http://eprints.umm.ac.id/42201/7/Lampiran.pdf http://eprints.umm.ac.id/42201/ |
Daftar Isi:
- This study aims to analyze the relationship between the dependent variables namely Profitability (ROA) and independent variables, namely Loan to Deposit Ratio (LDR), Operating Income Operating Expenses (BOPO) and Net Interst Margin (NIM) between Foreign Exchange Banks and Non-Foreign Exchange Banks. The sampling technique uses Purposive Sampling which is sampling based on certain criteria. The analytical tool used is multiple linear regression using panel data from Foreign Exchange Banks and Non-Foreign Exchange Banks that go public in Indonesia. The results obtained are that the LDR in Foreign Exchange Banks does not negatively affect ROA, and the LDR for Non-Foreign Exchange Banks does not have a positive effect on ROA. While BOPO in Foreign Exchange Banks and Non-Foreign Exchange Banks negatively affects ROA. While the NIM variable in Foreign Exchange Banks and Non-Foreign Exchange Banks has a positive effect on ROA. Determination of the Coefficient (R2) from the results of the Foreign Exchange Bank regression of 0.963 this shows the ability of the independent variable to explain the dependent variable at 92.71% while the remaining 7.29% is explained by other variables. While the Determination of Coefficients (R2) from the regression results of Non-Foreign Exchange Banks is 0.977, this indicates the ability of independent variables to explain the dependent variable by 95.07% while the remaining 4.93% is explained by other variables. In the F-test of foreign exchange and non-foreign exchange banks all independent variables have an effect on the dependent variable with a significant value of 0,000.