The prediction analysis model using the simple linear regression methods.

The new students in UIN Sunan Gunung Djati Bandung have increased and decreased for the last 3 years, starting from 2019 to 2021 this is due to the COVID-19 pandemic. This data will be used to predict the number of students in the next 3 years. The purpose of making predictions for new student admissions is to formulate the ratio of available lecturer needs to the number of new students, prepare lecture halls and other facilities. The method of these predictions is the linear regression method. In this study, the independent variable is the period of the academic year while the dependent variable is the number of new students. The data that will be used is the data of new students of Tarbiyah and Teacher Training, Department of Mathematics and Natural Sciences Education (PMIPA) which consists of 4 study programs with MAPE (Mean Absolute Percentage Error) values, namely, Mathematics Education Study Program (8.11%) Physics Education Study Program (7.67%), Chemistry Education Study Program (7.21%) Biology Education Study Program (8.44%) Based on the results of the data analysis, a graph predicts the number of new students for the next 3 years with a linear graph pattern decreased for each study program. [ABSTRACT FROM AUTHOR]