{"title":"在 PT Pos Indonesia 设计最佳员工甄选决策支持系统时应用层次分析法和简单加权法","authors":"Karsim Karsim, Donny Dharmawan, Elfis Mus Abdul, Siti Zulaika, Ngurah Pandji Mertua Agung Durya","doi":"10.60083/jidt.v5i4.453","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to compare the best employee evaluation outcomes using the analytical hierarchy process (AHP) technique and simple additive weighting (SAW) method as a support system for best employee suggestions. The author employed four different approaches for gathering data for this study: literature studies, interviews, observation, and similar literature studies. The RAD paradigm is being used in the development of this decision support system (DSS). The unified modeling language, or UML, tool is used in this system development methodology. It's time to put the system into action after it has been designed and analyzed. The black box testing methodology will be used for the experiments. Based on the research results, it was found that this system was able to assist decision makers in providing employee assessments quickly and precisely according to the predetermined time, whereas previously managers were always late and exceeded the time limit when assessing employees. The output of this system is that it can provide direct reports to the employees being assessed to find out the results of the scores obtained and make decisions about selecting the best employees. A decision support system for employee performance assessment uses the PHP and MySQL programming languages as the database. AHP and SAW methods, rapid application development (RAD) system development methods, and system testing with black box testing.","PeriodicalId":507682,"journal":{"name":"Jurnal Informasi dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Analytic Hierarchy Process and Simple Additive Weighting in Designing The Best Employee Selection Decision Support System at PT Pos Indonesia\",\"authors\":\"Karsim Karsim, Donny Dharmawan, Elfis Mus Abdul, Siti Zulaika, Ngurah Pandji Mertua Agung Durya\",\"doi\":\"10.60083/jidt.v5i4.453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study is to compare the best employee evaluation outcomes using the analytical hierarchy process (AHP) technique and simple additive weighting (SAW) method as a support system for best employee suggestions. The author employed four different approaches for gathering data for this study: literature studies, interviews, observation, and similar literature studies. The RAD paradigm is being used in the development of this decision support system (DSS). The unified modeling language, or UML, tool is used in this system development methodology. It's time to put the system into action after it has been designed and analyzed. The black box testing methodology will be used for the experiments. Based on the research results, it was found that this system was able to assist decision makers in providing employee assessments quickly and precisely according to the predetermined time, whereas previously managers were always late and exceeded the time limit when assessing employees. The output of this system is that it can provide direct reports to the employees being assessed to find out the results of the scores obtained and make decisions about selecting the best employees. A decision support system for employee performance assessment uses the PHP and MySQL programming languages as the database. AHP and SAW methods, rapid application development (RAD) system development methods, and system testing with black box testing.\",\"PeriodicalId\":507682,\"journal\":{\"name\":\"Jurnal Informasi dan Teknologi\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Informasi dan Teknologi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.60083/jidt.v5i4.453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Informasi dan Teknologi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.60083/jidt.v5i4.453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究的目的是使用分析层次过程(AHP)技术和简单加权法(SAW)作为最佳员工建议的支持系统,对最佳员工评价结果进行比较。作者采用了四种不同的方法为本研究收集数据:文献研究、访谈、观察和类似文献研究。本决策支持系统(DSS)的开发采用了 RAD 范式。在此系统开发方法中使用了统一建模语言(UML)工具。在对系统进行设计和分析后,现在是将其付诸实施的时候了。实验将采用黑盒测试方法。根据研究结果发现,该系统能够协助决策者按照预定时间快速、准确地提供员工评估,而以前管理者在评估员工时总是会出现迟到和超时的情况。该系统的输出结果是,它可以向被评估的员工提供直接报告,以了解所得分数的结果,并做出选择最佳员工的决策。员工绩效评估决策支持系统使用 PHP 和 MySQL 编程语言作为数据库。AHP和SAW方法、快速应用开发(RAD)系统开发方法以及黑盒测试的系统测试。
Application of Analytic Hierarchy Process and Simple Additive Weighting in Designing The Best Employee Selection Decision Support System at PT Pos Indonesia
The purpose of this study is to compare the best employee evaluation outcomes using the analytical hierarchy process (AHP) technique and simple additive weighting (SAW) method as a support system for best employee suggestions. The author employed four different approaches for gathering data for this study: literature studies, interviews, observation, and similar literature studies. The RAD paradigm is being used in the development of this decision support system (DSS). The unified modeling language, or UML, tool is used in this system development methodology. It's time to put the system into action after it has been designed and analyzed. The black box testing methodology will be used for the experiments. Based on the research results, it was found that this system was able to assist decision makers in providing employee assessments quickly and precisely according to the predetermined time, whereas previously managers were always late and exceeded the time limit when assessing employees. The output of this system is that it can provide direct reports to the employees being assessed to find out the results of the scores obtained and make decisions about selecting the best employees. A decision support system for employee performance assessment uses the PHP and MySQL programming languages as the database. AHP and SAW methods, rapid application development (RAD) system development methods, and system testing with black box testing.