Forecasting Analysis of New Student Candidate Admissions Using the Simple Linear Regression Method

Sardo Pardingotan Sipayung (Universias Katolik Santo Thomas Medan Jl. Setiabudi No. 479 F Tanjungsari Medan)
Zakarias Situmorang (Universias Katolik Santo Thomas Medan Jl. Setiabudi No. 479 F Tanjungsari Medan)
Zekson Matondang (Universias Katolik Santo Thomas Medan Jl. Setiabudi No. 479 F Tanjungsari Medan)
Masdiana Sagala (Universias Katolik Santo Thomas Medan Jl. Setiabudi No. 479 F Tanjungsari Medan)

Jurnal Teknik Indonesia (JU-TI)
Vol. 2 No. 02 (2023): Jurnal Teknik Indonesia (JU-TI), Desember 2023

The development of science and technology facilitates various aspects of life, including forecasting. Forecasting student enrollment in private universities can maximize the use of resources for services, facilities, infrastructure, and improving human resources. The regression method is used to measure the effect of promotional costs on increasing student enrollment in the future. This forecasting will be valid if an accurate model is used. The results showed the level of accuracy using the MAPE (Mean Absolute Percentage Error) model of 2.229%. However, the level of accuracy can vary each due to differences in data.