<![CDATA[This study aims to forecast the number of new students in each study program within the Faculty of Mathematics, Natural Sciences, and Earth Sciences at Manado State University (UNIMA) using a nonlinear regression model, specifically a polynomial model, based on historical enrollment data from the past five years. Accurate forecasting is expected to significantly support more strategic planning in creating a better campus environment and improving the comfort of future prospective students. The data in this study were processed using Microsoft Excel software by developing a third-order polynomial model, selected based on the coefficient of determination (R-squared) as the most suitable fit for the available data. The results indicate that the number of new students in each study program at FMIPA-K UNIMA is projected to increase significantly over the next ten years. This research can serve as a valuable reference for the faculty and study programs to anticipate future enrollment trends.]]>
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