Application of Multilinear Regression Analysis to Analyze the Effectiveness of Employee Performance in the Banking Industry

Syafrida Damanik, M. Umar, Maya Putra, Mian Agus, Nobel Siburian, Universitas Al Azhar, Stie Ibmi
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Abstract

The purpose of this research is to determine the influence of the recruitment and selection process on employee performance at PT. Bank Perkreditan Rakyat Duta Paramarta Medan. The population in this research is all employees of PT. Bank Perkreditan Rakyat Duta Paramarta Medan, totaling 33 people with saturated sampling. This type of research is quantitative. Quantitative research is research that aims to determine the degree of relationship and pattern or form of influence between two or more variables. Through this research, a theory will be built those functions to explain, predict, and control a phenomenon. Data collection techniques in this research were observation, interviews, questionnaires, and documentation. Meanwhile, the data analysis method is quantitative and multiple linear regression with hypothesis testing using t test analysis, the F test, and the coefficient of determination (R2). The results of the multiple regression analysis are Y = 3.696 + 0.393X1+0.465X2, which shows an increase in the recruitment process on employee performance by 0.393 units and selection by 0.465 units. Meanwhile, the results of the partial test (t test) show that there is a positive and significant influence of the recruitment process on employee performance with t-count = 3.672 > t-table 1.697 at α = 0.01 and the selection variable has a positive and significant effect of selection on employee performance where it can be seen that the t-count value =3.69 2> t-table = 1.697 at α = 0.01. The coefficient of determination (R2) with adjusted R2 is 0.709, meaning that the recruitment and selection variables can explain the employee performance variable by 70.9%, while the remaining 29.1% is explained by other variables outside the model. So, it can be concluded that there is a positive and significant influence of the recruitment and selection process on employee performance at PT. Bank Perkreditan Rakyat Duta Paramarta Medan.
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应用多元线性回归分析法分析银行业员工绩效的有效性
本研究的目的是确定招聘和选拔过程对棉兰帕拉马塔人民银行(PT.Perkreditan Rakyat Duta Paramarta 棉兰银行员工绩效的影响。本研究的研究对象是PT.Perkreditan Rakyat Duta Paramarta Medan银行的所有员工。Perkreditan Rakyat Duta Paramarta Medan 银行的所有员工,共计 33 人,采用饱和抽样法。本研究属于定量研究。定量研究旨在确定两个或多个变量之间的关系程度和影响模式或形式。通过这种研究,将建立一种理论,用于解释、预测和控制某种现象。本研究的数据收集技术包括观察、访谈、问卷和文献。同时,数据分析方法是定量和多元线性回归,并使用 t 检验分析、F 检验和判定系数(R2)进行假设检验。多元回归分析的结果为 Y=3.696+0.393X1+0.465X2 ,表明招聘过程对员工绩效的影响增加了 0.393 个单位,选拔增加了 0.465 个单位。同时,部分检验(t 检验)结果表明,招聘过程对员工绩效有正向显著影响,在 α = 0.01 时,t 计值 = 3.672 > t 表 1.697;选拔变量对员工绩效有正向显著影响,可以看出在 α = 0.01 时,t 计值 =3.69 2> t 表 = 1.697。调整后的决定系数(R2)为 0.709,这意味着招聘和选拔变量可以解释员工绩效变量的 70.9%,而其余的 29.1%则由模型外的其他变量解释。因此,可以得出结论,招聘和选拔过程对 PT.Perkreditan Rakyat Duta Paramarta 棉兰银行的员工绩效有积极而重要的影响。
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