Penerapan Metode Holt-Winter Exponential Smoothing Dalam Prediksi Jumlah Siswa-Siswi Baru Di Sma Negeri 09 Bengkulu Selatan
Abstract
Admission of new students is a routine activity carried out every academic year at the school. High School 09 South Bengkulu is one of the high schools in South Bengkulu Regency which accepts new students every academic year. The number of new students is based on the gender of the new students (boys and girls) and age group (14-15 years, 16-17 years, and 18-19 years). The application of the Holt-Winter Exponential Smoothing Method in predicting the number of new students at South Bengkulu High School 09 can make it easier to obtain information on predictions of the number of students in the school in the upcoming new academic year, where the prediction of the number of new students is based on gender. New students (boys and girls) and age groups (14-15 years, 16-17 years, and 18-19 years). Based on data obtained from South Bengkulu High School 09, the predicted results for the number of students were obtained. female students for the 2024/2025 academic year, namely 65 male students in the 14-15 year age group, 42 female students in the 14-15 year age group, 42 female students, 16-17 year old male students as many as 31 students, female gender in the 16-17 year age group as many as 0 students, male gender in the 18-19 year age group as many as 3 students, and female gender in the 18-19 year age group as many as 0 Students.
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References
Almufqi, F. M. & Voutama, A., 2023. Perbandingan Metode Data Mining Untuk Memprediksi Prestasi Akademik Siswa. Jurnal Teknika, Volume Vol.15 No.1 e-ISSN:2620-4770.
Dewi, N. P. & Listiowarni, I., 2020. Implementasi Holt-Winters Exponential Smoothing Untuk Peramalan Harga Bahan Pangan Di Kabupaten Pamekasan. Digital Zone:Jurnal Teknologi Informasi dan Komunikasi, Volume Vol.11 No.2 e-ISSN:2477-3255.
Enterprise, J., 2019. Belajar Pemrograman Dengan Visual Studio. Jakarta: PT. Elex Media Komputindo.
Firman, A., 2019. Analisis dan Perancangan Sistem Informasi. Surabaya: Penerbit Qiara Media.
Hardiansyah, A. D. & Dewi, C. N. P., 2020. Perancangan Basis Data Sistem Informasi Perwira Tugas Belajar (SIPATUBEL) Pada Kementrian Pertahanan. Jakarta, Senamika ISBN.978-623-93343-1-4.
Harsyah, L., Fitriyani, N. & Salwa, 2020. Peramalan Jumlah Siswa Baru Madrasah Aliyah (MA) Manhalul Maarif Darek Lombok Tengah. Eigen Mathematics Journal, Volume Vol.3 No.2 e-ISSN:2615-3270.
Helmud, E., 2021. Optimasi Basis Data Oracle Menggunakan Complex View Studi Kasus : PT. Berkat Optimis Sejahtera (PT.BOS) Pangkalpinang. Jurnal Informatika, Volume Vol.7 No.1 ISSN.2407-1730.
Huda, A. S., 2020. Prediksi Penerimaan Pegawai Baru Metode Naive Bayes. Bandung: Kreatif Industri Nusantara.
Pakpahan, S., 2021. Pemrograman Visual I: Microsoft Visual Studio 2010. Medan: Penerbit Yayasan Citra Cita Milenial.
Pongdatu, G., Abinowi, E. & Wahyuddin, 2020. Peramalan Transaksi Penjualan Dengan Metode Holt-Winter's Exponential Smoothing. Jurnal Ilmiah Teknologi Informasi Terapan, Volume Vol.6 No.3 e-ISSN:2407-3911.
Putra, A. V. E., Pranoto, Y. A. & Wibowo, S. A., 2022. Penerapan Metode Single Exponential Smoothing Dalam Meramal Penjualan Di Toko Agung (Studi Kasus Di Toko Agung Kalanganyar Kabupaten Malang). Jurnal JATI, Volume Vol.6 No.2.
Sofiana, Suparti, Hakim, A. R. & Utami, I. T., 2020. Peramalan Jumlah Penumpang Pesawat Di Bandara International Ahmad Yani Dengan Metode Holt Winter's Exponential Smoothing dan Metode Exponentian Smhoothing Event Based. Jurnal Gaussian, Volume Vol.9 No.4 ISSN:2339-2541.
Suprapto, U., 2021. Pemodelan Perangkat Lunak (C3) Kompentesi Keahlian : Rekayasa Perangkat Lunak Untuk SMK/MAK Kelas XI. Jakarta: Grasindo.
Trigunawan, A., Rahayu, W. I. & Andarsyah, R., 2020. Regresi Linear Untuk Prediksi Jumlah Penjualan Terhadap Jumlah Permintaan. Bandung: Informatics Research Center.
Wanto, A. et al., 2020. Data Mining : Algoritma Dan Implementasi. Medan: Yayasan Kita Menulis.
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