Recommendation System for Department Selection at Vocational High School (VHS) Using the Yager Model Fuzzy Multi-Attribute Decision Making (FMADM) Method

Abstract

The rapid growth of technology and knowledge requires efforts to improve human resources, one of which is improving the quality of vocational education. Vocational education is the implementation of formal education channels held in higher education one of which is the Vocational High School (VHS). VHS graduates with quality potential can increase superior human resources. The problems encountered are students who want to enter vocational schools, often have difficulty in choosing majors by their potential, mistakes in choosing majors cause students who have entered vocational schools to become graduates who are less superior. One of the solutions to this problem is to create a system that can recommend majors that are in sequence with student potential. One of the benefits if the students know the major recommendations according to student abilities, then when students carry out academic leraning will produce optimal achievement and be able to develop their abilities to the maximum and become superior vocational high school graduates. The method used in the calculation of this study is the Yager Model Fuzzy Multi-Attribute Decision Making (FMADM) method to provide the results of the major’s recommendations by student potential. The attributes used in the selection of these majors are academic value, talent value, interest value, intelligence quotient (IQ), parental support levels, achievement motivation, student’s attitude, student’s independence, and student’s health. Testing the recommendation system for the selection of VHS majors using the Yager Model FMADM method is obtained in the first scenario, the results of the recommendations at the top 10 results in an appropriate conformity value of 95.00% and not 5.00%. In the second scenario, the results of the recommendations at level 3 result in an appropriate suitability value of 82.50% and an unsuitable value of 17.50%. Based on this suitability, the FMADM Model Yager method can be implemented and produce recommendations according to student potential.