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All Journal Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience)
Nhajihaq, Nhajihaq
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Computer Science & IT Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Other

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Analisis Peramalan Jumlah Kunjungan Mahasiswa Prodi XP Ke Perpustakaan Kampus Dengan Metode Least Square Anzalni, Aulia; Nhajihaq, Nhajihaq; Ananta, Rachel; Rachmasari Pramita Wardhani; Sarungu, Selvia
JURNAL TEKNOSAINS KODEPENA Vol. 6 No. 1 (2025): Jurnal Teknosains Kodepena Volume 6 Nomor 1 Agustus 2025
Publisher : Kodepena (Komunitas Dosen Penulis dan Peneliti Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54423/jtk.v6i1.111

Abstract

A prediction system for determining the number of student visits is one way to determine the priorities and the number of students interested in literacy culture each year. Creating a prediction system requires a robust calculation method, which is why a prediction system is needed. This prediction system uses the Least Squares method. Based on the research conducted, the system can implement the Least Squares method to predict students studying and using library facilities. This helps library administrators prepare the necessary needs for students who wish to study in the library.
Analisis Peramalan Jumlah Kunjungan Mahasiswa Prodi XP Ke Perpustakaan Kampus Dengan Metode Least Square Anzalni, Aulia; Nhajihaq, Nhajihaq; Ananta, Rachel; Rachmasari Pramita Wardhani; Sarungu, Selvia
JURNAL TEKNOSAINS KODEPENA Vol. 6 No. 1 (2025): Jurnal Teknosains Kodepena Volume 6 Nomor 1 Agustus 2025
Publisher : Kodepena (Komunitas Dosen Penulis dan Peneliti Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54423/jtk.v6i1.111

Abstract

A prediction system for determining the number of student visits is one way to determine the priorities and the number of students interested in literacy culture each year. Creating a prediction system requires a robust calculation method, which is why a prediction system is needed. This prediction system uses the Least Squares method. Based on the research conducted, the system can implement the Least Squares method to predict students studying and using library facilities. This helps library administrators prepare the necessary needs for students who wish to study in the library.
Co-Authors Ananta, Rachel Anzalni, Aulia Rachmasari Pramita Wardhani Sarungu, Selvia