Implementation of TOPSIS Algorithm for Selection of Prominent Student Class

Autor:	Arifin Tua Purba, Victor Marudut Mulia Siregar, Nancy Florida Siagian, Heru Sugara, Sahat Sonang
Rok vydání:	2021
Předmět:	History Computer science business.industry TOPSIS Artificial intelligence business Class (biology) Selection (genetic algorithm) Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1783:012038
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1783/1/012038
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6db9da8b7106792cb1df13e3d1ca741b https://doi.org/10.1088/1742-6596/1783/1/012038 Zobrazit plný text záznamu