Open AccessImplementation of Simple Additive Weighting Method in Evaluating Employee Performance for Job Promotion Recommendations
Author(s) -
Jeperson Hutahaean,
Seri Suriani,
Supriy anto,
Harma yani,
Muhammad Amin,
Zulfi Azhar
Publication year - 2021
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19009
Subject(s) - weighting , ranking (information retrieval) , promotion (chess) , rank (graph theory) , performance appraisal , computer science , quality (philosophy) , simple (philosophy) , decision support system , employee performance appraisal , value (mathematics) , decision quality , management science , knowledge management , operations research , machine learning , data mining , mathematics , engineering , management , team effectiveness , medicine , philosophy , nursing , epistemology , combinatorics , politics , political science , law , economics , radiology
The implementation of decision support system tools in providing decision support for management is absolutely necessary. In its application, this aims to make the decision effective so that the decisions produced can be objective. This research discusses employee performance appraisal by implementing a decision support system. Many methods of decision support systems that can be used to rank, but in this study, the authors use the ranking method known as Simple Additive Weighting (SAW). The SAW method works by summing the weighted attributes that are interrelated. This method is quite simple and is able to provide the right decisions for employees who have the best performance to be recommended in job promotions. In this research, assessment attributes are used, namely education, experience, expertise, collaboration, work quality, and discipline. The final results show that employees on behalf of Ferdinal have the highest value with a value of 0.850.