4.0 时代提高绩效的在职培训设计:印度尼西亚汽车行业研究

Arbania Fitriani
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引用次数: 0

摘要

在工业革命的 4.0 时代,培训对于组织的作用变得更加重要,因为它不仅能提高个人的效力和效率,还能提高组织的效力和效率。影响绩效的因素很多,但提高绩效的最重要因素是培训。本研究旨在评估 PT YXZ 公司的在职培训设计实施情况,了解在职培训设计中的变量如何有助于提高员工绩效。抽样技术方法是根据每个单位的员工人数,使用斯洛文公式进行概率随机抽样。本研究的抽样对象是所有正式员工,共计 1,665 人。样本来自不同的职位和任期。获得的样本数为 323 名员工。根据效度和信度检验结果可知,各指标的 Cronbach's Alpha 值均在 0.9 以上,因此可以说所有指标都具有很好的信度。皮尔逊乘积矩相关值高于 0.8,因此可以认为测量工具是有效的。根据频数分布的结果,可以发现 70.51%的受访者认为在职培训得到了很好的实施。同时回归检验的结果是 P 值 = 0.000(P< 0.05),这意味着 Ho 被拒绝,Ha 被接受。总体指标对在职培训效果的影响值在回归模型中显示如下:在职培训因子值 = 2,422 + 0.015(在职培训实施项目总值)。研究结果证明,在职培训的设计模式对绩效有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ON THE JOB TRAINING DESIGN IN IMPROVING PERFORMANCE AT 4.0 ERA: STUDY ON AUTOMOTIVE INDUSTRY IN INDONESIA
At 4.0 era of industrial revolution, training’s role becomes more important for organizations because it will increase effectiveness and efficiency not only for individuals but for organizations. Many things affect performance, but the most important factor in improving performance is training. This study aims to evaluate On the Job Training design implementation at PT YXZ and see how the variables in the OJT design contribute to improving employee performance. Sampling technique method is probability random sampling with the Slovin formula according to the number of employees of each unit. The population in this study were all permanent employees with a total of 1,665. Samples were taken from various positions and tenure. The number of samples obtained was 323 employees. The results of the validity and reliability test are known that the Cronbach’s Alpha value of each indicator is above 0.9 so it can be said that all indicators have a very good level of reliability. The Pearson Product Moment correlation value is above 0.8 so that the measuring instrument is considered valid. Based on the results of the frequency distribution, it was found that according to OJT, 70.51% respondents had been implemented quite well. The results of the simultaneous regression test resulted in a Pvalue = 0.000 (P< 0.05) which means that Ho was rejected and Ha was accepted. The value of how much influence the overall indicator on the effectiveness of OJT is displayed in the regression model as follows, OJT Factor Value = 2,422 + 0.015 (total value of OJT Implementation items). The results of this study prove that the design model in OJT have a significant influence in to performance.
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