Analisis Efisiensi Bank Umum Persero Menggunakan Metode Data Envelopment Analysis (DEA)

Diah Wuriah Ningsih, Suripto Suripto, Eli Erfandi, Dian Murdianingsih
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Abstract

The purpose of this study is to analyze the efficiency of state-owned commercial banks and to analyze their development. Where efficiency is a parameter in measuring performance for banks. The Data Envelopment Analysis approach was used in this study with a quantitative method. Where there are two models used, namely the VRS (Variable Return to Scale) model and the CRS (Constant Return to Scale) model. State-owned commercial banks are the sample in this study for the period 2019 to 2022. Capital, Third Party Funds (DPK), and operational costs are used as variable inputs. Meanwhile, credit is used as a variable output. Based on the results of the analysis, it shows that based on the VRS model, the efficiency of state-owned commercial banks was obtained in almost all years except in 2019. Furthermore, the results of the analysis using the CRS model, several banks obtained efficiency results and several banks obtained inefficiency results. Even based on the average efficiency that existed during the study period, all of them experienced inefficiency, it's just that the efficiency value was at 0.9. The difference in the results of the two models used is because the VRS model overrides the production scale factor, while the resulting CRS model value is Overall Technical Efficiency
Persero一般银行效率分析使用分析数据方法(DEA)
本研究的目的是分析国有商业银行的效率,分析其发展。效率是衡量银行业绩的一个参数。本研究采用数据包络分析方法进行定量分析。其中使用了两种模型,即VRS(可变比例回报)模型和CRS(恒定比例回报)模型。本研究以2019 - 2022年国有商业银行为样本。资本、第三方资金(DPK)和运营成本被用作可变投入。同时,信贷被用作可变输出。分析结果表明,基于VRS模型的国有商业银行除2019年外,几乎所有年份都获得了效率。此外,利用CRS模型进行分析的结果显示,有几家银行获得了效率结果,也有几家银行获得了低效结果。即使以研究期间存在的平均效率来衡量,也都是低效的,只是效率值在0.9。两种模型结果的差异是由于VRS模型忽略了生产规模因子,而得到的CRS模型值为整体技术效率
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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