<![CDATA[The improvement of a company performances cannot be separated from the performance of each employee.Periodic evaluation of employee performance becomes a routine task of the Human Resources General Affair(HRGA) team that takes a long time and effort because it is still done manually. The results of employeeperformance that have been assessed as a reference of determination of rewards and punishment. TheDecision Support System (DSS) is made with the aim of making it easier for HRGA to determine employeerewards and punishments based on assessor factors that have been determined by the company. The criteriachosen are attendance, loyalty and responsibility, work competency and work results (quality and quantityresults). The DSS methods that can be applied to this process is the Multi-Attributive Border Approximationarea Comparison (MABAC) Method. This method is used because consistent in solutions and expert for usein logical decision making. The research data was taken from 11 samplings of bakery division employeeperformance data for 1 year. Data is obtained from attendance and assessments from supervisors of eachdivision. The results of this research, is a decision support system web based in order to determine thereward and punishment method using MABAC.]]>
Copyrights © 2022
