Open AccessMCGDM for selection of OSN participants using integration AHP and MOORA methods
Author(s) -
Yeni Kustiyahningsih,
Kautsar Sophan,
N R Ummah,
Jaka Purnama
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 - 10.1088/1742-6596/1836/1/012037
Subject(s) - analytic hierarchy process , group decision making , government (linguistics) , rank (graph theory) , management science , selection (genetic algorithm) , class (philosophy) , mathematics education , operations research , computer science , mathematics , psychology , artificial intelligence , engineering , social psychology , linguistics , philosophy , combinatorics
The Olympics of Science National (OSN) is one of the government’s efforts to improve quality of education. The many indicators of measurement and decision-making involved in process of selecting prospective OSN participants required a decision support system for selection of prospective participants to make it easier and transparent. Indicators in this assessment are academic grades, skills grades, class rank and absenteeism. The science department, academic grades and skills scores have mathematical, chemical, physical, biological sub-criteria. There are geography and economic majors in social science. The method used in the decision support system is Analytic Hierarchy Process (AHP) Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) integration based on group or Multi Criteria Group Decision Making (MCGDM) with geometric mean aggregation. Based on research that has been done with a CR less than 0.01, the accuracy obtained is for physics 89.7%, biology 92%, mathematics 90%,chemistry 93.7%, geography 93.8%, and economics 86.6%. The highest accuracy is in Geography