Penentuan Penerimaan Karyawan Menggunakan Metode Simple Additive Weighting dan Weight Product

Ermin Al Munawar, Sunardi Sunardi, Abdul Fadlil
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引用次数: 1

Abstract

Recruitment errors influence in a decrease of quality, performance, and company revenue. One of the causes is the absence of a method that is applied as a systematically of information system in determining the acceptance of the best prospective employees. This study uses the Simple Additive Weighting (SAW) and Weight Product (WP) methods to build an objective, fast, and accurate of Decision Support System (DSS) in determining employee acceptance. This research case study was applied to the Indonesian Market Traders Cooperative (KOPPI) Sorong City, West Papua Province by involving a number of 10 alternative applicants. This study aims to produce an objective information system and provide convenience in determining the best employees, referring to the determination of 9 criteria obtained from interviews, namely education, work experience, motivation, intrapersonal ability, achievement orientation, sales ability, self-confidence, trustworthy, and work ethic by weighting each. SAW and WP methods are both used to determine the best ranking of all alternative applicants and get the best prospective employees. The information system was built using the Waterfall development method with the PHP programming language and Mysql database. Based on the results of research that has been carried out, it is found that the information system built has 100% conformity of functionality and compatibility between manual and application system. Both methods provide the same highest alternative to be used as the determination of the best employee acceptance, however it is found that the WP method provides better accuracy and validity than SAW.
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招聘失误会导致质量、绩效和公司收入的下降。其中一个原因是缺乏一种方法,作为一种系统的信息系统,在确定接受最好的潜在员工。本研究采用简单加性加权法(SAW)和权重积法(WP)建立了一个客观、快速、准确的决策支持系统(DSS)来确定员工接受度。这一研究案例研究应用于西巴布亚省索龙市印度尼西亚市场贸易商合作社,涉及10个备选申请人。本研究的目的是建立一个客观的信息系统,为确定最优秀的员工提供方便,通过面试获得的9个标准的确定,即教育程度、工作经验、动机、人际关系能力、成就取向、销售能力、自信、值得信赖、职业道德。SAW和WP方法都用于确定所有备选申请人的最佳排名,并获得最佳的潜在员工。信息系统采用瀑布式开发方法,以PHP为编程语言,Mysql为数据库。研究结果表明,所构建的信息系统具有100%的功能符合性和手工系统与应用系统的兼容性。两种方法都提供了相同的最高替代方案,用于确定最佳员工接受度,但是发现WP方法比SAW方法提供了更好的准确性和有效性。
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