1Yuli Asbar, 2Sapnabiby,3Angga Pratama,4Janner Simarmata,5Abror
1 Faculty of Economics and Business, Malikussaleh University, Indonesia
2 Faculty of Engineering, Information Systems Study Program, Malikussaleh University, Indonesia
3 Faculty of Information and Computer Technology Education, State University of Medan, Indonesia
4Faculty of Economics, Padang State University, Indonesia
DOI : https://doi.org/10.47191/ijmra/v6-i1-13Google Scholar Download Pdf
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.
KEYWORDS:Prediction, Linear Regression
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VOLUME 06 ISSUE 01 JANUARY 2023
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