Computational model of student competency analysis in fuzzy topsis method

Abstract

In this research is purposed to predict student level competence in sustainability learning through vocational school. Measuring student competence can use a statistical method or intelligent computing process. One method in intelligent computing process is Fuzzy Topsis. An existing problem in this research is every process in evaluation student competence is calculated by mean measure. Challenging process in evaluation competency is use Fuzzy Topsis method. In enrolment Fuzzy Topsis, some variables are needed such as report, psychotest, and teacher recommendation. Result of this research is level of student competency major in vocational schools. Using the data for 270 students, Precision test has calculated 75.60% and Recall test has 96%. This percentage is gained by calculate confusion matrix that differentiate between competence and not competence student level. Impact of this research is competency process can be efficient and effective on processing by Fuzzy Topsis. Other impact is measuring competency can be simple and dynamic than conventional method that used simply mean measure.