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Fauzy, Iqbal
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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PERAMALAN PENERIMAAN MAHASISWA BARU DENGAN PERBANDINGAN METODE REGRESI LINIER SEDERHANA DAN SINGLE EKSPONENTIAL SMOOTHING: STUDI KASUS FTI UNIVERSITAS MERDEKA MALANG Fauzy, Iqbal; Pramaditya, Himawan
Jurnal Fakultas Teknologi Informasi Vol 6 No 2 (2024): BIMASAKTI
Publisher : Fakultas Sains dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/bimasakti.v6i2.9757

Abstract

This forecast is specifically to provide information on the number of new students in 2024-2025 for the number of new students in 2024-2025 using data on the number of students from the last 10 years. By using error analysis, the results of which are simple linear regression methods which can be said to be successful in covering the shortcomings of single exponential smoothing.
Co-Authors Pramaditya, Himawan