Analysis Of Decision Support Systems Edas Method In New Student Admission Selection

Yunita Sari Siregar; Ahmad Zakir; Nenna Irsa  Syahputri; Herlina Harahap; Divi Handoko

doi:10.47709/cnahpc.v5i1.2057

Authors

Yunita Sari Siregar Universitas Harapan Medan
Ahmad Zakir Universitas Harapan Medan
Nenna Irsa Syahputri Universitas Harapan Medan
Herlina Harahap Universitas Harapan Medan
Divi Handoko Universitas Harapan Medan

DOI:

10.47709/cnahpc.v5i1.2057

Keywords:

Decision Support System, EDAS (Evaluation Based On Distance From Average Solution), Selection, Students, Informatic Engineering

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Abstract

University of Harapan Medan is one of the private tertiary institutions in North Sumatra which has an informatics engineering study program. The informatics engineering study program is a study program that has many enthusiasts. Every year this study program graduates more than 200 students. To produce graduates who have potential, reliability and competence in the field of technology and information, it is necessary to make a selection at the beginning, namely at the time of admission of new students. There are 5 criteria used in the selection process, including the average report card score, basic ability test, computer ability test, psychological test, and interview. Each criterion has 5 weights of values, namely very high, high, medium, low and very low. The selection process for admission of new informatics engineering students with a decision support system for the EDAS (Evaluation Based On Distance From Average Solution) method. Where the stages in this method are by normalizing the decision matrix and looking for the average from alternatives, then from these results calculate the average positive distance (PDA) and negative distance (NDA) as well as the assessment of the weighted attribute weights of SPi and SNi, after that the normalization of positive and negative distance weights is carried out for determining the ranking score. From the results of the analysis carried out using the EDAS method, with a sample of 10 prospective students it was concluded that the 6th order student candidate had the highest score with a score of 0.519 and the lowest score in the 7th order student with a score of 0.14. Therefore, the level of accuracy of the EDAS method in selecting new student admissions is around 20%. Of course, this accuracy value will change with large data samples.

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