Open AccessDecision Support System of New Student Admission Using Analytical Hierarchy Process and Simple Additive Weighting Methods
Author(s) -
Santosa Wijayanto,
Darmawan Napitupulu,
Krisna Adiyarta,
Agus Perdana Windarto
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 - 10.1088/1742-6596/1255/1/012054
Subject(s) - analytic hierarchy process , weighting , ranking (information retrieval) , hierarchy , selection (genetic algorithm) , computer science , process (computing) , simple (philosophy) , informatics , mathematics education , artificial intelligence , machine learning , psychology , operations research , mathematics , engineering , medicine , philosophy , epistemology , economics , electrical engineering , market economy , radiology , operating system
Selection of qualified prospective students is very important for schools to be able to achieve successful learning in school. Problems will arise if the school is wrong in choosing students who are not in accordance with their abilities. The admission selection process for prospective students in Bintaro Informatics Development Vocational School still uses manual method in calculating grades. Determination of the weight of each criterion is also not used optimally, giving rise to difficulties in selecting prospective students based on their talents and abilities. Schools need a decision support system that can help in making decisions to select new students according to their talents and abilities. The system designed using the Simple Additive Weighting (SAW) method is used for ranking, and to determine the weighting using the Analitycal Hierarchy Process (AHP) method. The results of the calculation of the two methods can select prospective students who are accepted in school more precisely and accurately in accordance with the abilities and expertise of students.