Health Information Analysis of Bank OCBC NISP 2015 - 2019

Hanafi Mulyadi *

Department of Information Systems, Faculty of Engineering, Widyatama University, Indonesia.

T. S. Rae Virgana

Department of Information Systems, Widyatama University, Indonesia.

*Author to whom correspondence should be addressed.


Abstract

Aims: Examine the health information of OCBC NISP banks between the relationship of ratio data finance ROA (Return on Assets) between the relationship ROA, NPL, LDR and BOPO data.

Study Design: Statistical methods using the dependent variable is ROA (Return on Assets) and the independent variables namely NPL (Non-Performance Loan), LDR (Loan to Deposit Ratio), and BOPO (Operating Expenditures Operation Income) Data as health information analyzes Quarterly Data from 2015-2019

Place and Duration of Study: Information Systems, Faculty of Engineering, University Widyatama The research was Carried out between October 2019 to January 2020.

Methodology: Collecting the data in this study tries to analyze information between related the data relationships of NPL (Non-Performance Loan), LDR (Loan Deposit Ratio), and BOPO (Operating Expenditures Operation Income) to ROA (Return on Assets) on the bank OCBC NISP in the period 2015-2019 and using the fixed effects method.

Results: The results of this study NPL positive effect on ROA significant with a p-value of 0.6997, the coefficient NPL = +0.0536262, so any increase is in NPL 1% then the the resulting rise in ROA of 0.0536262%. For LDR positive effect on ROA and very significant with a p-value of 0.4301, the coefficient NPL = +0.00210031, so any increase is in NPL 1% then the the resulting rise of 0.00210031% ROA, and vice versa. To BOPO negative effect on ROA significant with a p-value of 0.0002, the coefficient of BOPO = -0.0793051, so any increase is in ROA of 1% then result in a Decrease of 0.0793051% ROA and vice versa.

Conclusion: The correlation between the independent ROA relationship to the NPL, LDR and ROA is related to the bank's health analysis from the coefficient value shown on the R-squared value of 0.980778 to describe a set of independent variables and the dependent variable explained by 98%.

Keywords: Return on assets, non-performance loan, loan to deposit ratio, operating income expenditures operation.


How to Cite

Mulyadi, H., & Virgana, T. S. R. (2020). Health Information Analysis of Bank OCBC NISP 2015 - 2019. Asian Journal of Research in Computer Science, 5(2), 17–24. https://doi.org/10.9734/ajrcos/2020/v5i230131

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