The Effect of Reward and Punishment Policy on the Productivity of BPJS Health Employees Kotabumi Branch Office

Fadhilah Faiqoh, S. Naim, Deden Rahmanudin, Feb Amni Hayati, Sabil Mokodenseho
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引用次数: 7

Abstract

The discipline of employees regarding working hours at the office of BPJS Health Kotabumi Branch is still relatively low. This low discipline of employees towards working hours can cause a lack of employee productivity. Problems concerning discipline in a company or government agency must be solved by making policies to overcome them. This study aimed to analyze the effect of implementing reward and punishment policies as a solution to increase employee productivity. The type of this study was field research with the quantitative method to analyze the obtained data. Samples in this study were 30 employees of BPJS Health for Kotabumi Branch, selected using the total sampling technique. Meanwhile, to analyze the obtained data, the researcher used multiple linear regression analysis. The results of the calculations using the Multiple Linear Regression analysis at a significance level of a=0,05, showed as follows. First, the p-value for H_0A was 0.02 (< 0.05), meaning that H_0A was rejected, concluding that the reward policy had an effect on increasing employee performance productivity. Second, the p-value for H_0B was 0.00 (< 0.05), meaning that H_0B was also rejected, concluding that the punishment policy had an effect on increasing employee performance productivity. Third, the p-value for H_0C was 0.00 (< 0.05), meaning that H_0C was rejected, concluding that the reward and punishment policy had an effect on increasing employee performance productivity. These findings contributed to increasing the productivity of employee performance. In addition, they can be used by policymakers in a company for increasing the productivity of employee performance.
奖惩政策对BPJS保健员工工作效率的影响
在比利时正义与正义联盟Kotabumi保健分部办公室,雇员在工作时间方面的纪律仍然相对较低。员工对工作时间的缺乏纪律会导致员工生产力的缺乏。公司或政府机构的纪律问题必须通过制定政策来解决。本研究旨在分析实施奖惩政策作为提高员工生产力的解决方案的效果。本研究的类型为实地调查,采用定量方法对所获得的数据进行分析。本研究的样本为BPJS健康小tabumi分部的30名员工,采用全抽样技术选择。同时,为了对获得的数据进行分析,研究者使用了多元线性回归分析。在显著性水平a= 0.05下,采用多元线性回归分析计算结果如下:首先,H_0A的p值为0.02(< 0.05),意味着H_0A被拒绝,从而得出奖励政策对提高员工绩效生产力有作用。第二,H_0B的p值为0.00(< 0.05),说明H_0B也被拒绝,说明处罚政策对提高员工绩效生产率有一定作用。第三,H_0C的p值为0.00(< 0.05),意味着H_0C被拒绝,由此得出奖惩政策对提高员工绩效生产力有作用。这些发现有助于提高员工绩效的生产力。此外,它们可以被公司的决策者用于提高员工绩效的生产力。
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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