Prediksi Jumlah Calon Siswa Baru Menggunakan Metode Double Exponential Smoothing Brown (Studi Kasus: SMK Ma’arif NU 1 Purwokerto Tahun Pelajaran 2024/2025)
DOI:
https://doi.org/10.21580/square.2024.6.1.21263Abstract
The number of new students registering at SMK Ma'arif NU 1 Purwokerto from 2010 to 2023 has increased and decreased. This fluctuating pattern is a problem faced in determining strategies to attract new students to register. Large fluctuations in student numbers can cause instability in school revenues, which affects all operational aspects and will impact the school's reputation in the eyes of the community and prospective students. In this regard, it is necessary to take action, namely forecasting the number of new students registering for the 2024/2025 academic year. The aim of this research is to determine the prediction of the number of prospective new students at SMK Ma'arif NU 1 Purwokerto using theDouble Exponential Smoothing Brown in the 2024/2025 academic year. From the research results, it was obtained that the number of new students in the 2024/2025 academic year was based on overall data on students who registered with the best α parameter α = 0.2 with a value ofMAD = 6,02, MSE = 68,37, andMAP= 20.23%, namely 42 students. The forecast for the number of new students registering at SMK Ma'arif NU 1 Purwokerto based on overall data from the school has increased from the previous year. Value resultsMAPshows that the forecasting that has been carried out falls into the category of adequate forecasting method capabilities so that it can be used to predict the number of new students enrolling at SMK Ma'arif NU 1 Purwoketo and the predicted value for the following year can be known.
Keywords: predictions, forecasting, new students, Double Exponential Smoothing Brown
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Aden, A., & Al Jauzi, A. L. (2019). Prediksi Jumlah Siswa Baru Yang Mendaftar Menggunakan Eksponensial Ganda Satu-Parameter Dari Brown. Statmat : Jurnal Statistika Dan Matematika, 1(2), 147–157. https://doi.org/10.32493/sm.v1i2.2944
Aden, A., & Anggela Supriyanti. (2020). Prediksi Jumlah Calon Peserta Didik Baru Menggunakan Metode Double Exponential Smoothing Dari Brown. Lebesgue, 1(1), 56–62. https://doi.org/10.46306/lb.v1i1.14
Agrippina, A. P., & Pamuji, F. Y. (2024). Komparasi Peramalan Penerimaan Siswa Baru Menggunakan Metode Exponential Smoothing. PROSISKO: Jurnal Pengembangan Riset Dan Observasi Sistem Komputer, 11(1), 35–44.
https://doi.org/10.30656/prosisko.v11i1.8059
Andini, T. D., & Auristandi, P. (2016). Peramalan Jumlah Stok Alat Tulis Kantor di UD Achmad Jaya Menggunakan Metode Double Exponential Smoothing. Jurnal Ilmiah Teknologi Informasi Asia, 10(1), 1–10.
Azman, M. (2019). Analisa Perbandingan Nilai Akurasi Moving Average dan Exponential
Smoothing Untuk Sistem Peramalan Pendapatan Pada Perusahan XYZ. Jurnal
Sistem dan Informatika, 13 (2), 36-45.
Handayani, T., Lubis, R. S., & Aprilia, R. (2021). Peramalan Tingkat Produksi Kakao Tahun 2021 Di Provinsi Sumatera Utara Dengan Metode Double Exponential Smoothing Brown. In MAp (Mathematics and Applications) Journal (Vol. 3, Issue 1). https://doi.org/10.15548/map.v3i1.2753
Andrian, T., Kristianto, I., & Santoso, M. (2022). Penerapan Sistem Penerimaan Peserta Didik Baru (PPDB) Berbasis Online (Studi Kasus: SMK Cahaya Bangsa Tangerang). Scientia Sacra: Jurnal Sains, 2(2), 306–315. http://pijarpemikiran.com/index.php/Scientia
Hartono, A., Dwijana, D., & Handiwidjojo, W. (2015). Perbandingan Metode single Exponential Smoothing Dan Metode Exponential Smoothing Adjusted For Trend (Holt’s Method) Untuk Meramalkan Penjualan. Studi Kasus: Toko Onderdil Mobil “Prodi, Purwodadi.” Jurnal EKSIS, 5(1), 8–18.
Madjid, H. A., Ambarwati, A., & Latipah, L. (2021). Decision Support System Peramalan Permintaan Layanan Kecantikan dengan Single Exponential Smoothing dan Simple Moving Average. Jurnal Sistem Dan Teknologi Informasi (Justin), 9(3), 372. https://doi.org/10.26418/justin.v9i3.45796
Oktaviarina, A. (2017). Peramalan jumlah penumpang kereta api di Indonesia menggunakan metode Exponential Smoothing. Jurnal Buana Matematika, 7(2), 89-92. https://doi.org/10.36456/buanamatematika.v7i2:.1427
Pujiati, E., Yuniarti, D., & Goejantoro, R. (2016). Peramalan Dengan Menggunakan Metode Double Exponential Smoothing Dari Brown (Studi Kasus : Indeks Harga Konsumen (IHK) Kota Samarinda). Jurnal EKSPONENSIAL, 7(1), 33–40. http://jurnal.fmipa.unmul.ac.id/index.php/exponensial/article/view/23
Rahayu, P. W., & Bernadus, I. N. (2021). Penerapan Metode Single Exponential Smoothing Pada Peramalan Penerimaan Siswa Baru. Jurnal Ilmu Komputer Dan Bisnis, 12(2a), 122–127. https://doi.org/10.47927/jikb.v12i2a.204
Santosa, M. A., Sarja, N. L. A. K. Y., & Wiyati, R. K. (2019). Perbandingan Metode Holt Winter Additive Dan Metode Holt Winter Additive Damped Dalam Peramalan Jumlah Pendaftaran Mahasiswa. Jurnal Ilmiah Rekayasa Dan Manajemen Sistem Informasi, 5(1), 93. https://doi.org/10.24014/rmsi.v5i1.7378
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