ANALISIS JUMLAH MAHASISWA/I BARU DENGAN MENGGUNAKAN REGRESI LINIER SEDERHANA

Murni Ningsih; Rahmadhani Hafel; Giar Septa

doi:10.23969/brainy.v5i1.92

Authors

Murni Ningsih Universitas Megarezky
Rahmadhani F. Hafel Universitas Megarezky
Giar Septa Universitas Megarezky

DOI:

https://doi.org/10.23969/brainy.v5i1.92

Keywords:

simple liniear regression, new students, prediction

Abstract

Student development in recent years has shown a state of improfement. Howefer, event though there has been an incrause, future predictions need to be made to find out the number of students in the following year. This aim is to find out how lacturers and student compare in terms of numbers, provide space for the lecture process and other supporting facilities. In this research, the sampels taken were students from the faculty of economics and digital business from 2019 to 2024. Academic year is the independent variable, and the estimated number of new students is the dependent variable. Furthermore, student data from the faculty of economics and digital business was used. These students are divided into two study programs, namely entrepreneurship and digital business. The results of this research show that the prediction for entrepreneurship study program students is 4.52, and the digital business study is 7.76, which allows us to identify new students in the future.

References

Afkarina, N. K., ed.al Implementasi Regresi Linier Berganda Untuk Prediksi Jumlah Peminat, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 3(11), 2019, pp. 10462–10467.

Amiruddin and Ishak, R., Prediksi Jumlah Mahasiswa Registrasi Per Semester Menggunakan Linier Regresi pada Universitas Ichsan Gorontalo, ILKOM Jurnal Ilmiah, 10(2), 2018, pp. 136–143.

Bhakti, Y. S., ed.al Model Peramalan Penerimaan Calon Mahasiswa Menggunakan Metode Regresi, Progresif: Jurnal Ilmiah Komputer, 16(2), 2020, pp. 113–120.

Muhammad, I. et al., Peramalan Jumlah Mahasiswa Baru Menggunakan Metode Double Exponential Smoothing (Studi Kasus: Mahasiswa Baru Universitas Pattimura Ambon Tahun 2017), Jurnal Variance, 2(1),2020, pp. 27–33.

Mulyani, E. D. S. et al., Estimasi Harga Jual Mobil Bekas Menggunakan Metode Regresi Linier Berganda,Jurnal Sistem Informasi dan Teknologi Informasi, 9(1), 2020, pp. 1–8.

Trianggana, D. A., Peramalan Jumlah Siswa-Siswi Melalui Pendekatan Metode Regresi Linear, Jurnal Media Infotama, 16(2), 2020, pp. 115–120.