Implementation of the Simple Multi Attribute Ranking Technique Method as a Model for Decision Making in Determining the Talents and Interests of Children in Continuing Education

Abstract

Talent and interest are very influential on students in the process of their development and learning. This is because every child needs an education program that matches their talents and interests. Many problems occur due to mistakes of parents or teachers in determining talent and asking students so mistakes in determining education still tend to be incorrect. So students find it difficult to adapt to the education they face because it is not in accordance with their abilities and potential. Therefore, we need a modeling of decision making based on the criteria of talent and interests of children using the Simple Multi Attribute Ranking Technique modeling. The implementation of the SMART method in this study is able to provide solutions to the problem of decision making talents and interests of children. This study uses a sample of 15 student data which is then entered into the computation of the SMART calculation method. The result is that 3 students who were sampled were able to have grades above the standard or scores above 70 points that have been set based on predetermined rules. While the other 12 students have the final result below the standard that has been set which is below the value of 70 points.

Setting a shared development agenda: prioritizing the sustainable development goals in the Dominican Republic with fuzzy-LMAW

“…MCDA is based on the selection/ranking of the best alternative among the proposed alternatives using decision criteria that need to be prioritized. There are different methods for prioritizing criteria and/or alternatives, such as the Simple Multiattribute Ranking Technique (SMART) 25 , Analytic Hierarchy Process (AHP) 26 , Analytic Network Process (ANP) 27 , Best Worst Method (BWM) 28 , 29 , FUll COnsistency Method (FUCOM) 30 , 31 , goal programming 32 , 33 and Logarithm Methodology of Additive Weights (LMAW) 34 – 36 .…”