{"title":"IMPLEMENTASI TOPSIS DALAM PEMBERIAN REWARD GURU TERBAIK PADA SMK SWASTA 1 HKBP PEMATANGSIANTAR","authors":"Sahat Sonang S, Arifin Tua Purba","doi":"10.37600/tekinkom.v4i1.226","DOIUrl":null,"url":null,"abstract":"Reward is a form of appreciation received by an individual for the achievement of a work performance that aims to motivate the individual to have high productivity. In managerial terms, giving a warning is a good and reasonable thing to do by the leader to his subordinates. Likewise with the Private Vocational School 1 HKBP Pematangsiantar. This research was conducted to provide solutions to problems that occur through the design of a decision support system software for giving the best teacher reward with the Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS) method with assessment components including (1) discipline, (2) involvement, (3 ) attendance, (4) leadership, (5) training and (6) social. The Decision Support System for providing teacher rewards is able to accommodate subjective problems, lack of transparency, and doubts about its accuracy and the output is very credible. Thus the decision-making process for giving the best teacher reward is efficient, effective and objective and can be used as a recommendation for school principals in determining which teachers deserve rewards. From the 10 data samples used, the results of the analysis using the Decision Support System show that the highest recommendation value is 0.7149 on behalf of A8, while the lowest recommendation value is 0.2851 on behalf of A10. Recommendation, DSS, TOPSIS, Reward","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37600/tekinkom.v4i1.226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Reward is a form of appreciation received by an individual for the achievement of a work performance that aims to motivate the individual to have high productivity. In managerial terms, giving a warning is a good and reasonable thing to do by the leader to his subordinates. Likewise with the Private Vocational School 1 HKBP Pematangsiantar. This research was conducted to provide solutions to problems that occur through the design of a decision support system software for giving the best teacher reward with the Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS) method with assessment components including (1) discipline, (2) involvement, (3 ) attendance, (4) leadership, (5) training and (6) social. The Decision Support System for providing teacher rewards is able to accommodate subjective problems, lack of transparency, and doubts about its accuracy and the output is very credible. Thus the decision-making process for giving the best teacher reward is efficient, effective and objective and can be used as a recommendation for school principals in determining which teachers deserve rewards. From the 10 data samples used, the results of the analysis using the Decision Support System show that the highest recommendation value is 0.7149 on behalf of A8, while the lowest recommendation value is 0.2851 on behalf of A10. Recommendation, DSS, TOPSIS, Reward
奖励是一种对个人工作表现的赞赏,旨在激励个人提高工作效率。在管理术语中,给予警告是领导对下属做的一件好事和合理的事情。私立职业学校1 (HKBP Pematangsiantar)亦是如此。本研究以TOPSIS (Order Preferences Technique by Similarity to Ideal Solution)方法,设计一套决策支援系统软体,以提供最佳教师奖励的解决方案,评估内容包括:(1)纪律、(2)参与、(3)出勤率、(4)领导力、(5)培训和(6)社会。提供教师奖励的决策支持系统能够适应主观问题,缺乏透明度,以及对其准确性和输出非常可信的怀疑。因此,给予最佳教师奖励的决策过程是高效、有效和客观的,可以作为学校校长决定哪些教师值得奖励的建议。从使用的10个数据样本中,使用Decision Support System进行分析的结果显示,A8的最高推荐值为0.7149,A10的最低推荐值为0.2851。推荐,DSS, TOPSIS,奖励