Identifikasi Faktor Penentu Profitabilitas BPR di Kota Batam

P This research was conducted to examine the influence of financial ratios that influence the financial performance of Return on Assets (ROA) at Rural Credit Banks in the city of Batam, such as Capital Adequacy Ratio (CAR), Non-Performing Loans (NPL), Operational Costs, Operational Income (BOPO), Loan to Deposit Ratio (LDR) and Net Interest Margin (NIM). This research is explanatory research with a quantitative approach. The population in this study is all BPRs in the city of Batam for the 2020-2023 research period. The sample for this research was 21 BPRs determined using a purposive sampling method. The research data is in the form of secondary data and the data collection technique is documentation techniques. The analysis technique in this research uses multiple linear regression analysis with the help of the Eviews 10 statistical application. The results of the analysis show that partially CAR and BOPO have a significant negative influence on ROA, LDR and NIM have a significant positive influence on ROA and NPL has no influence on BPR's ROA. is in Batam city.

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Publication Details

Journal
eCo-Buss
Published
2024-12-10
DOI
https://doi.org/10.32877/eb.v7i2.1826
Primary Topic
Management and Optimization Techniques
Type
article
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0.00
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article

Identifikasi Faktor Penentu Profitabilitas BPR di Kota Batam

Poniman Poniman, Hermaya Ompusunggu
eCo-Buss
Management and Optimization Techniques
article

Identifikasi Faktor Penentu Profitabilitas BPR di Kota Batam

Poniman Poniman, Hermaya Ompusunggu
article en

Abstract

P This research was conducted to examine the influence of financial ratios that influence the financial performance of Return on Assets (ROA) at Rural Credit Banks in the city of Batam, such as Capital Adequacy Ratio (CAR), Non-Performing Loans (NPL), Operational Costs, Operational Income (BOPO), Loan to Deposit Ratio (LDR) and Net Interest Margin (NIM). This research is explanatory research with a quantitative approach. The population in this study is all BPRs in the city of Batam for the 2020-2023 research period. The sample for this research was 21 BPRs determined using a purposive sampling method. The research data is in the form of secondary data and the data collection technique is documentation techniques. The analysis technique in this research uses multiple linear regression analysis with the help of the Eviews 10 statistical application. The results of the analysis show that partially CAR and BOPO have a significant negative influence on ROA, LDR and NIM have a significant positive influence on ROA and NPL has no influence on BPR's ROA. is in Batam city.

eCo-BussVol. 7(2)
Universitas Putera Batam (ID)
No poverty
Openalex Percentile: Top 61%
Management and Optimization Techniques
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Identifikasi Faktor Penentu Profitabilitas BPR di Kota Batam — Poniman Poniman, Hermaya Ompusunggu · eCo-Buss (2024) | TGRS Research Map | TGRS