Estimasi Jumlah Murid Baru Menggunakan Metode Forecasting
DOI:
https://doi.org/10.37640/jim.v2i2.1025Keywords:
Forecasting, Regresi Linear, Standar ErrorAbstract
Of the many forecasting methods or forecasting, the Linear Regression Method can be used to predict or predict the number of new students or students in the new academic year at the Islamic Junior High School "Al-H****h in Malang Regency. This study uses the MAD, MSE, and MAPE approaches. The data used is historical data on the number of students obtained for 9 years starting from the 2013-2014 school year until the 2021-2022 school year. By estimating or forecasting, helping the school, especially the AL-H****h Islamic Junior High School, know the number of new students accepted at the school in the 2022-2023 school year.
References
Gaspersz, V. (2008). Production Planning and Inventory Control. Jakarta: PT Gramedia Pustaka Utama.
Khotimah, T., & Nindyasari, R. (2017). Forecasting Dengan Metode Regresi Linier Pada Sistem Penunjang Keputusan Untuk Memprediksi Jumlah Penjualan Batik (Studi Kasus Kub Sarwo Endah Batik Tulis Lasem). Jurnal Mantik Penusa, 1(1), 71-75.
Khusna, S. A. (2018). Analisis Jumlah Siswa Baru Dengan Metode Peramalan Eksponensial Smoothing Di MTs Abdulloh Mojo [HTML File]. URL: http://simki.unpkediri.ac.id/detail/14.1.01.05.0064.
Levin, R. I., & David S. R. (1998). Statistics for Manajement. Prentice-Hall.
Makridakis, S., Wheelwright, S. C., & McGee, V. E. (1999). Metode dan aplikasi peramalan. Jakarta: Erlangga.
Nasution, A. H. (2008). Perencanaan dan Pengendalian Produksi. Surabaya: Prima Printing.
Prakoso, I. A., Kusnadi, K., & Nugraha, B. (2021). Peramalan Penjualan Produk Dengan Metode Regresi Linear Dan Aplikasi POM-QM di PT XYZ. Widya Teknik, 20(1), 17-20. https://doi.org/10.33508/wt.v20i1.3158
Sanny, L., Sarjono, H., Trend, W., & Moving, W. (2013). Peramalan Jumlah Siswa/I Sekolah Menengah Atas Swasta Menggunakan Enam Metode Forecasting. Forum Ilmiah, 10(2), 198–208.
Sugiyono. (2011). Metode Penelitian Kuantitatif, Kualitatif dan R & D. Alfabeta.
Wardah, S., & Iskandar, I. (2017). Analisis Peramalan penjualan Produk Keripik Pisang Kemasan Bungkus (Studi Kasus: Home Industry Arwana Food Tembilahan). J@ Ti UNDIP: Jurnal Teknik Industri, 11(3), 135–142. https://doi.org/10.14710/jati.11.3.135-142
Yanti, N., Tuningrat, I. A. M., & Wiranatha, A. (2016). Analisis peramalan penjualan produk kecap pada perusahaan kecap Manalagi Denpasar Bali. Jurnal Rekayasa dan Manajemen Agroindustry, 4, 72–81.
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Journal of Instructional Mathematics
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License