Open AccessImplementation of TOPSIS Algorithm for Selection of Prominent Student Class
Author(s) -
Victor Marudut Mulia Siregar,
Sahat Sonang,
Arifin Tua Purba,
Heru Sugara,
Nancy Florida Siagian
Publication year - 2021
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 - 10.1088/1742-6596/1783/1/012038
Subject(s) - topsis , ranking (information retrieval) , class (philosophy) , selection (genetic algorithm) , rank (graph theory) , mathematics education , computer science , test (biology) , ideal solution , similarity (geometry) , order (exchange) , personality , decision support system , psychology , machine learning , artificial intelligence , mathematics , operations research , social psychology , paleontology , physics , finance , combinatorics , economics , image (mathematics) , biology , thermodynamics
This study aims to provide the right solution in overcoming the problem of selection for prominent class students senior high school at SMAN 2 Pematangsiantar. The solution is to make a decision support system for the selection of prominent class XI IPA students in determining rankings. The method used is the TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) algorithm by using several criteria, namely: Mid Test Score, Final Exam Score, Extracurricular, Personality, and Attitude. The results of student data processing using the decision support system obtained weights of 1, 0.57188272655161, and 0.56259472567445 for rank 1 to rank 3. The implementation of this Decision Support System is beneficial and makes it easier for the school and the homeroom teacher to determine ranking for the selection of prominent class students.