Application of Simple Additive Weighting Method To Design an Employee Performance Assessment System in a National Logistics Company

Mohammad Kus Yunanto, Herty Ramayanti Sinaga, Vivid Violin, Tengku Kespandiar, Prety Diawati
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Abstract

This research aims to discover how an employee performance appraisal system using the website-based SAW method can help managers carry out the employee performance appraisal process. The method used in developing a web-based decision-making system is the prototype method. For data collection, two techniques were used. First, obtain the necessary information through interviews. Second, by collecting performance assessment data previously carried out manually by managers. It can be observed that the system may function effectively by performing its functions as an employee performance assessment utilizing the simple additive weighting calculation technique after creating a prototype decision-making system using the website-based simple additive weighting method. After managers have completed an evaluation, website-based solutions can combine data to make it easier to access, preserve data security, and support decision-making. The results provided yield high accuracy based on the SAW formula. This system uses the SAW calculation method so that employee performance assessments are carried out based on the percentage weight of the criteria that the manager has determined. From the requirements and results of this assessment, SAW can produce a ranking of employees with the best to worst performance. From this ranking, the manager can determine the employee with the best and worst performance, and then managers can make decisions based on that data.
应用简单加权法设计国家物流公司员工绩效评估系统
本研究旨在探索使用基于网站的 SAW 方法的员工绩效考核系统如何帮助管理者开展员工绩效考核工作。开发基于网络的决策系统所使用的方法是原型法。在数据收集方面,使用了两种技术。首先,通过访谈获取必要信息。第二,收集管理人员以前手工操作的绩效评估数据。可以看出,在使用基于网站的简单加权法创建决策系统原型后,该系统可以利用简单加权计算技术有效地发挥其作为员工绩效评估的功能。在管理人员完成评估后,基于网站的解决方案可以将数据合并起来,使其更易于访问、保护数据安全并支持决策。根据 SAW 公式,所提供的结果具有很高的准确性。该系统采用 SAW 计算方法,根据管理者确定的标准权重百分比进行员工绩效评估。根据评估的要求和结果,SAW 可以得出一个从最佳到最差的员工绩效排名。根据这个排名,管理者可以确定表现最好和最差的员工,然后管理者可以根据这些数据做出决策。
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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