Animal Caregiver Selection by Applying ARAS Method Decision Support System and Entropy Weighting
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Dito Putro Utomo
*
Medan State Polytechnic, Medan,
Indonesia
- Muhammad Syahrizal Cendana Polytechnic, Medan, Indonesia
- Rivalri Kristianto Hondro Satya Terra Bhinneka University, Medan, Indonesia
- Imam Saputra Sekolah Tinggi Ilmu Manajemen Sukma Medan, Medan, Indonesia (*) Corresponding Author
Abstract
Animal care is a profession that is responsible for taking good care of animals or checking the condition of animals for the purpose of animal health. To get a qualified animal care worker according to the company's needs, it takes quite a long time, because animal care workers who apply for a job at a company must first go through several tests in order to meet the criteria required by the company. So that animal care workers are needed and required to care for animals, maintain their health and pay attention to the nutrition of the animals. So that there is no extinction of protected animals. The current animal care worker acceptance procedure in the wildlife park is that applicants submit identity files, if they pass the applicant's files, they take an interview test and the last test, the applicant must practice in the field directly to find out how well the applicant is able to adapt to animals. In calculating the value, problems often occur in this acceptance process. A decision support system (DSS) is an interactive information system that provides information, modeling, and data manipulation. In this case, the author uses the Entropy method and the ARAS (Additive Ratio Assessment) method to solve it. The Entropy method can be used to calculate weights based on data characteristics in the criteria, the higher the variation between data in the criteria, the higher or more important the weight of the criteria. While the ARAS (Additive Ratio Assessment) method is used for ranking. The use of the Entropy method as a weighting aims to ensure that the weighting process is carried out based on objective value assignment. In the application of the Entropy Method, a weighting of the criteria value is produced where the criteria with the highest to lowest values are Certificate, Work Experience, Age, Interview and Education with the highest value being 0.768 and the lowest being 0.021. Then the process of applying the selection of animal nurses using the ARAS method obtained the result that alternative A1 was selected as an animal nurse with a value obtained of 0.0816.
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Copyright (c) 2025 Dito Putro Utomo, Muhammad Syahrizal, Rivalri Kristianto Hondro, Imam Saputra
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