Forecasting the Number of Politeknik Negeri Malang New Students Enrollment Using Single Exponential Smoothing Method
Eka Larasati Amalia, Dimas Wahyu Wibowo , Farida Ulfa, Deasy Sandhya Elya Ikawati
Malang State Polytechnic
Abstract
Forecasting the number of new student enrollments at Politeknik Negeri Malang offers the campus a good help to discover new innovations and good marketing strategies. Besides, it can be used as a reference in planning the teaching and learning process. This study used the Single Exponential Smoothing method as a forecasting method. Forecasting accuracy uses Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE). Based on the calculation results, the smoothing constant result is α = 0.9 which means it has the smallest error values for the three forecasting accuracy calculation methods.
Keywords: forecasting, registration, students, single exponential smoothing
Topic: Information Systems Technology