Fauzy, Iqbal (2024) Peramalan Penerimaan Mahasiswa Baru Dengan Perbandingan Metode Regresi Linier Sederhana dan Single Eksponential Smoothing (Studi Kasus: FTI Universitas Merdeka Malang). Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.
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Abstract
This forecast is dedicated to providing information to the FTI of Merdeka Malang University on the number of new students in 2024-2025 using data on student numbers over the last 10 years. Using the error analysis, which results in simple linear regression methods can be said to be successful in covering the shortcomings of single exponential smoothing.
Item Type: | Thesis (Undergraduate) |
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Additional Information: | Iqbal Fauzy NIM : 20083000163 |
Uncontrolled Keywords: | Prediction, regression, student, exponential |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Fakultas Teknologi Informasi > S1 Sistem Informasi |
Depositing User: | nata Natassa Auditasi |
Date Deposited: | 22 May 2025 07:37 |
Last Modified: | 22 May 2025 07:37 |
URI: | https://eprints.unmer.ac.id/id/eprint/5289 |
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