Open AccessDecision Support System in Determining Structural Position Mutations Using Simple Additive Weighting (SAW) Method
Author(s) -
Aulia Fitrul Hadi,
Randy Permana,
Havid Syafwan
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1339/1/012015
Subject(s) - weighting , promotion (chess) , position (finance) , quality (philosophy) , mutation , warning system , value (mathematics) , operations management , computer science , operations research , engineering , business , medicine , machine learning , genetics , biology , telecommunications , physics , political science , radiology , finance , quantum mechanics , politics , gene , law
Mutations are needed in a company to improve the quality of workers. mutations are based on the capabilities of individual workers in the company. HRD assesses the abilities of workers from various aspects. manually the accuracy of mutations based on the value of the criteria is only 38%. with a low value of accuracy resulting in mutations of workers not as expected. the criteria given are FFB Production (C1), Core CPO Production (C2) and Field Care (C3). Range of mutation decision weights are 10-30% Giving First Warning Letter, 31 - 70% Position setting and 71 - 100% Giving promotion. with the SAW method the analysis is done by computerization. after testing the criteria obtained. HRD assesses that the accuracy of workers reaches 85%. and better and in accordance with what the company wants.