{"title":"决定支持系统评估最佳员工的方法(BANTEN JAYA大学案例研究)","authors":"I. Gunawan, S. Sutanto, Irma Yunita","doi":"10.47080/iftech.v2i1.858","DOIUrl":null,"url":null,"abstract":"Banten Jaya University is a private university in the Serang city of Banten province. The increasing number of employees the diversity of employees is also increasingly complex so it is difficult to choose the best employees. Therefore, the need for a decision support system, so that it can shorten the selection time and improve the quality in determining the best employees. The best employee decision support system uses SAW (simple additive weighting) method based on predetermined criteria and weight. SAW (simple additive weighting) method is chosen because it is able to select the best alternative from a number of alternatives. This research is done by finding the weight on each attribute, then done ranking to determine the best employees.","PeriodicalId":117120,"journal":{"name":"Journal of Innovation And Future Technology (IFTECH)","volume":"58 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"DECISION SUPPORT SYSTEM PENENTUAN PEGAWAI TERBAIK DENGAN METODE SAW (STUDI KASUS UNIVERSITAS BANTEN JAYA)\",\"authors\":\"I. Gunawan, S. Sutanto, Irma Yunita\",\"doi\":\"10.47080/iftech.v2i1.858\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Banten Jaya University is a private university in the Serang city of Banten province. The increasing number of employees the diversity of employees is also increasingly complex so it is difficult to choose the best employees. Therefore, the need for a decision support system, so that it can shorten the selection time and improve the quality in determining the best employees. The best employee decision support system uses SAW (simple additive weighting) method based on predetermined criteria and weight. SAW (simple additive weighting) method is chosen because it is able to select the best alternative from a number of alternatives. This research is done by finding the weight on each attribute, then done ranking to determine the best employees.\",\"PeriodicalId\":117120,\"journal\":{\"name\":\"Journal of Innovation And Future Technology (IFTECH)\",\"volume\":\"58 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Innovation And Future Technology (IFTECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47080/iftech.v2i1.858\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Innovation And Future Technology (IFTECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47080/iftech.v2i1.858","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DECISION SUPPORT SYSTEM PENENTUAN PEGAWAI TERBAIK DENGAN METODE SAW (STUDI KASUS UNIVERSITAS BANTEN JAYA)
Banten Jaya University is a private university in the Serang city of Banten province. The increasing number of employees the diversity of employees is also increasingly complex so it is difficult to choose the best employees. Therefore, the need for a decision support system, so that it can shorten the selection time and improve the quality in determining the best employees. The best employee decision support system uses SAW (simple additive weighting) method based on predetermined criteria and weight. SAW (simple additive weighting) method is chosen because it is able to select the best alternative from a number of alternatives. This research is done by finding the weight on each attribute, then done ranking to determine the best employees.