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Employee Performance Evaluation Decision Support System with the SMART (Simple Multi-Attribute Rating Technique) Method:

机译:员工性能评估决策支持系统具有智能(简单的多属性额定值)方法:

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Every company needs an employee performance appraisal system, for the evaluation of its employees in terms of quality and responsibility for their work. In evaluating the performance of employees at PT. MMC Group is still manually so it takes a long time and the impact on decision making time also takes a long time. Besides evaluation only on aspects of the strengths and weaknesses of employees, so the results of decisions taken are not accurate and subjective. Therefore we need a decision support system that can do calculations quickly, precisely and accurately based on predetermined criteria. The calculation method used in this study is the SMART (Simple Multi Attribute Rating Technique) method. There are 5 assessment criteria used, namely quality of work, integrity, loyalty, discipline and personality, while for alternative data as many as 10 employees are taken by cluster random sampling. To test the performance of the SMART method calculation results using the Confusion Metrix method. The results of this study are an accuracy rate of 90%, a precission of 100%, a recall of 88.88% and a specificity of 94.12%.
机译:每个公司都需要员工绩效评估系统,以便在质量和工作责任方面评估其员工。在评估PT的员工的表现时。 MMC集团仍然是手动所以需要很长时间,对决策时间的影响也需要很长时间。除了仅对员工的优势和弱点的方面进行评估,因此所采取的决策结果并不准确和主观。因此,我们需要一个决策支持系统,可以基于预定标准快速,精确准确地进行计算。本研究中使用的计算方法是智能(简单的多属性额定值技术)方法。使用了5条评估标准,即工作质量,诚信,忠诚,纪律和个性,而对于替代数据,多达10名员工是由集群随机抽样采取的。要使用混淆METRIX方法测试智能方法计算结果的性能。该研究的结果是精度率为90%,预测为100%,召回量为88.88%,特异性为94.12%。

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