Implementation of Linear Regression to Predict New Student Admissions as a First Step to Determine Campus Marketing Strategy

Abstract

New student Admission is a routine activity carried out by all educational institutions in Indonesia every year. One of the educational institutions in Indonesia is a private university. Predictions of the development of new student admissions so far have only been made based on speculation using data from previous years. Linear regression is one method that can be used to predict good results. Therefore, this study uses a linear regression method. The test results in this study indicate that the linear regression method has a low error value measured by the error rate using the Mean Absolute Percentage Error (MAPE), which is an average of 2.76%. This proves that using the linear regression method can predict new student admissions well so that it can assist universities in developing various strategies to maintain their existence, especially marketing strategies.