Determinan Profitabilitas Bank Perkreditan Rakyat di Kota Palembang Periode 2013-2018

Riri Hanifa, Anton Trianto, Mahdi Hendrich
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引用次数: 3

Abstract

This study was conducted with the aim to empirically examine the effect of CAR, NPL, BOPO and LDR on profitability (ROA) at the Rural Credit Bank in Palembang for the period 2013-2018. The type of this research is descriptive quantitative The population in the research object is all BPRs contained in Palembang city amounted to 13 BPR while the total sample of 10 BPR. The research sample was taken with a purposive sampling system with the criteria of a BPR whose financial statements were published by the Financial Services Authority in the 2013-2018 period. The method used in this study uses multiple regression analysis with a hypothesis testing tool that is the t test and the F test. However, before conducting multiple regression analysis, the classical assumption test is performed first. Through the simultaneous hypothesis test results (Test F) it is known that CAR, BOPO, NPL and LDR have a significant effect on the profitability of BPR (sig 0,000). While based on the partial hypothesis test results (t test) on BPR shows that CAR variable does not influence ROA (sig 0.183), BOPO variable has no effect on ROA (sig 0.114), NPL variable has significant effect on ROA (sig 0.001) and LDR variable also no effect on ROA (sig 0,782). Adjusted R ² value in the regression model was obtained at 56.1, this indicates that the influence of independent variables on the dependent variable (ROA) was 56.1% while the remaining 43.9% was influenced by other factors outside this study.
2017 -2018年巴伦邦人民信贷银行盈利能力决定
本研究旨在实证检验2013-2018年巨港农村信贷银行的CAR、NPL、BOPO和LDR对盈利能力(ROA)的影响。本研究的类型为描述性定量,研究对象人口为巨港市所含BPR总数为13个,样本总数为10个。研究样本采用有目的的抽样系统,采用金融服务管理局在2013-2018年期间发布财务报表的BPR标准。本研究使用的方法是多元回归分析,假设检验工具是t检验和F检验。但是,在进行多元回归分析之前,首先要进行经典假设检验。通过同时假设检验结果(检验F)可知,CAR、BOPO、NPL和LDR对BPR的盈利能力有显著影响(sig 000)。而基于BPR的部分假设检验结果(t检验)显示,CAR变量不影响ROA (sig 0.183), BOPO变量对ROA没有影响(sig 0.114), NPL变量对ROA有显著影响(sig 0.001), LDR变量对ROA也没有影响(sig 0.782)。回归模型调整后的R²值为56.1,表明自变量对因变量(ROA)的影响为56.1%,其余43.9%受本研究之外的其他因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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