Forecasting Can Prediction for New Student Acceptance?

By Hanna Felina Ferdy

Student of S1 Statistika

Universitas Muhammadiyah Semarang (UNIMUS)

Nowadays, new student acceptance is a routine for education at every university in this case the name of university is Universitas Bina Sarana Informatika (UBSI). The new student acceptance starts in November and ends in September each year by dividing several registration periods and varying the cost of the education development contribution.

First, I think that university need forecasting for prediction, how much new student will acceptance. In this case, they used three method that is Moving Average Method, Exponential Smoothing Method and Trend Analysis Method. With the aim, the university know to planning and measure carefully, so it will balance between students and lecturers and for creating best quality education.

In addition, some people think, forecasting? What is that? How can they'll prediction? And what they used for prediction?. Forecasting is a prediction of the future related to demand by involving past data with the mathematical calculation. And they used software like QM and DS for Windows. So, the prediction will correct for the future.

To sum up, I agree with UBSI. Because, forecasting helped a lot for the prediction. But forecasting not just at three method, there is another method. Like, ARIMA, SARIMA, ARIMAX, SARIMAX, etc. The software not just QM and DM for Windows, it can use by MINITAB, SPSS, etc. And another university can follow the forecasting like UBSI and it will really helpful . Last, UBSI or another university can prepare for the facalities, teaching and learning with conducive condition because they prediction before.