E. Kurniawan, A. M. Ilmi, Nufan Balafif
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引用次数: 3

摘要

Telkomsel配送中心(TDC)钟邦在提升员工担任主管(SPV)和分公司经理(BM)职位方面存在问题。TDC Jombang对能够胜任SPV和BM职位的员工有几个评估标准。但在评估过程中,每个标准仍然倾向于主观。在基于几个标准做出决策时,可以使用多标准决策(MCDM)方法,通过应用被认为最合适的方法来产生最佳的替代决策建议。本研究旨在通过使用SAW(简单加性加权)方法实现多标准决策方法提供最佳解决方案,该方法将在基于计算机的决策支持系统(SPK)中编程。选择SAW方法是因为它可以权衡每个属性和排名的值,以获得最佳的替代建议。使用的数据为Jombang TDC员工数据。从这项研究中,我们发现使用SPK中编程的SAW方法成功地呈现了候选人之间偏好值的比较信息。具有最高偏好值的候选人是最推荐选择的备选方案
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMPLEMENTASI MULTI CRITERIA DECISION MAKING MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PROMOSI KENAIKAN JABATAN
Telkomsel Distribution Center (TDC) Jombang has problems in promoting employees to fill the Supervisor (SPV) and Branch Manager (BM) positions. TDC Jombang has several assessment criteria for employees to be able to fill SPV and BM positions. But in the assessment process, each criterion still tends to be subjective. In making decisions based on several criteria, a Multi-Criteria Decision Making (MCDM) approach can be used by applying the method that is considered most appropriate to produce the best alternative decision recommendations. This study aims to provide the best solution by implementing the Multi-Criteria Decision Making approach using the SAW (Simple Additive Weighting) method which will be programmed in a computer-based decision support system (SPK). The SAW method was chosen because it can weigh the values on each attribute and rank to get the best alternative recommendations. The data used are Jombang TDC employee data. From this study, it was obtained that the use of the SAW method programmed in the SPK succeeded in presenting information comparing the value of preferences between candidates. Candidates with the highest preference value are the most recommended alternatives to choose
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