Impact of Soft Skills Competencies to predict Graduates getting Jobs Using Random Forest Algorithm

Abstract

Soft skills competencies is a special skill by a person in the field of self-management. This competency is very much needed by higher education in getting a job in the era of industry 4.0 and society 5.0. Analysis of the impact of soft skills competencies is currently not widely carried out, even though the tracer study instrument for higher education already exists. Prediction of graduate readiness to enter the work world is very important for higher education. It is necessary to carry out further analysis in this regard. The focus of this research is to analyze the relationship between soft skills competencies and the absorption of graduates in getting a job before six months using the random forest algorithm. The results of the testing using confusion matrix in the development of this prediction model resulted an accuracy of 64%.