MAJAMATH: Jurnal Matematika dan Pendidikan Matematika
Vol. 6 No. 1 (2023): Vol 6 No 1 Maret 2023

Prediksi Jumlah Siswa Baru Menggunakan Least Square Method

Riski Aspriyani (Universitas Nahdlatul Ulama Al Ghazali Cilacap)
Mizan Ahmad (Universitas Nahdlatul Ulama Al Ghazali Cilacap)



Article Info

Publish Date
31 Mar 2023

Abstract

In the process of admitting new students, each school has a different strategy to increase the number of applicants and the number of students accepted. The publication strategy is structured to achieve the expected goals or to get the number of students according to the quota. The publication strategy will work well if the school has predictive data on the number of students that will come. Therefore, researchers do research with the purpose to predict the number of new students at SMA Ya Bakii 1 Kesugihan using the Trend Linear model with the Least Square to the number of new students from 2002/2003 to 2022/2023. The results of the analysis show that the Least Square Method prediction model in the form of y =49.424+4.463x gives accurate or good results with a MAPE value of 11.996%. While the prediction results for the next five years, namely 2023/2024, 2024/2025, 2025/2026, 2027/2028, and 2029/2030 are 148 students, 152 students, 157 students, 161 students, and 165 students.

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Journal Info

Abbrev

majamath

Publisher

Subject

Education Mathematics

Description

Majamath: Jurnal Matematika dan Pendidikan Matematika memuat kajian-kajian ilmiah tentang matematika dan pendidikan matematika antara lain pembelajaran matematika, matematika terapan , teknologi pembelajaran dan matematika murni, dalam bentuk: 1) Hasil penelitian, 2) Gagasan konseptual, 3) Kajian ...