Prediction of the Telkom University's Undergraduates Waiting Period for Getting a Job using the CART Algorithm

Abstract

Competition is getting tougher, universities must prepare graduates who can compete in the world of work. The standard of graduates’ profiles that can be used as an assessment is the waiting period. The ideal target of a waiting period is less than or equal to three months. The competence of graduates who can compete in the world of work becomes an assessment of the quality of a university. Several factors that affect the waiting period are the Grade Point Average (GPA), study period, and students’ organization activity. This research was conducted to create a waiting period prediction model using a decision tree based on the factors that affect it. To analyze the waiting period prediction results, the accuracy of the model and the decision tree model is good or not based on the accuracy, sensitivity, and specificity. The decision tree is one of the data mining techniques that can be used for decision-making. In this research, we will use the CART (Classification and Regression Tree) algorithm. In the data mining classification process, data pre-processing will be carried out first, after that the splitting data (training and testing data) will be carried out. Based on the results of the classification tree, the tree size is 10 and has 10 rules. The accuracy of the classification tree's model is 66.67%, 72.97% of sensitivity, and 61.36% of specificity.