Open AccessMulti-Attribute Decision Making Model for Acceptance of Prospective Corporate Employees with Interpolation Method
Author(s) -
Nia Rahma Kurnianda
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 - 10.1088/1742-6596/1179/1/012006
Subject(s) - service (business) , process (computing) , business , value (mathematics) , position (finance) , marketing , computer science , finance , machine learning , operating system
PT PERSADA is one of the companies engaged in the field of labor management. Partner satisfaction is the most important thing for PT PERSADA; therefore in providing maximum service to partners PT. PERSADA, it requires a workforce that can serve the needs of companies with qualifications that can provide maximum benefits and low costs for the company. This can be seen and calculated from the criteria given by the company for the selection process of the prospective employees and of course different in each function of the job required. In supporting PT PERSADA to make decisions on the acceptance of these corporate employees, we propose an evaluation mechanism using the interpolation method. The interpolation method that we use is to convert the criteria value, then give the value of the numeric format after being compared with the minimum requirements of the position. After that we calculated the rating of each criterion per alternative (per candidate) and gave a rating recommendation based on the results of the candidate rating. The final result we got from the assessment mechanism was to get recommendations from prospective corporate employees with high benefits and low costs for the company.