RANCANG BANGUN SISTEM PERAMALAN PENJUALAN ES KRIM DENGAN METODE DOUBLE EXPONENTIAL SMOOTHING
DOI:
https://doi.org/10.36080/skanika.v9i1.3618Keywords:
Peramalan, Penjualan, Es Krim, Double Exponential Smoothing, Sistem berbasis WebAbstract
The ice cream sales agent CV Aldy Abadi Jaya in Muara Wahau faces challenges in forecasting daily fluctuating ice cream demand. Inaccurate stock estimation often leads to excess or shortage of inventory, requiring an effective strategy to balance supply and demand. This study aims to design and develop a web-based sales forecasting system using the Double Exponential Smoothing (DES) method. This method was chosen because it can provide accurate predictions for data with a trend pattern. The research utilizes historical sales data of ice cream from CV Aldy Abadi Jaya. The system was developed using the Laravel framework and MySQL database. It automatically performs sales forecasting calculations and displays the results through an interactive dashboard that helps users interpret prediction outcomes easily. The results show an accuracy level and Mean Absolute Percentage Error (MAPE) value of 13,83%, indicating that the Double Exponential Smoothing method can generate reliable forecasts for future sales. The developed system is expected to help the company plan stock more effectively, reduce the risk of losses, and improve efficiency in the ice cream distribution process..
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[1] A. A. Fitri, S. Achmadi, and N. Vendyansyah, “Sistem Peramalan Penjualan Tahu Menggunakan Double Exponential Smoothing,” JATI (Jurnal Mahasiswa Teknik Informatika), vol. 8, no. 5, pp. 8267–8273, 2024, doi: 10.36040/JATI.V8I5.10512.
[2] L. A. In’am, J. D. Irawan, and S. A. Wibowo, “Implementasi Peramalan Penjualan Nasi Kotak Este Catering Berbasis Web dengan Metode Double Exponential Smoothing,” IJAI (Indonesian Journal of Applied Informatics), vol. 9, no. 1, pp. 208–219, 2024, doi: 10.20961/IJAI.V9I1.95162.
[3] M. A. Ilham, S. Achmadi, and K. A. Sari, “Implementasi Metode Double Exponential Smoothing untuk Sistem Peramalan Penjualan Alat Musik,” Jurnal Teknologi Terpadu, vol. 10, pp. 125–133, 2024, doi: https://doi.org/10.54914/jtt.v10i2.1490.
[4] F. R. Hariri and C. Mashuri, “Sistem Informasi Peramalan Penjualan dengan Menerapkan Metode Double Exponential Smoothing Berbasis Web,” Generation Journal, vol. 6, no. 1, pp. 68–77, 2022, doi: 10.29407/GJ.V6I1.16204.
[5] J. Homepage, A. Padmo, A. Masa, A. Prafanto, and H. J. Setyadi, “Peramalan Ekspor Batu Bara Indonesia Menggunakan Metode Double Exponential Smoothing Brown,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 4, no. 3, pp. 1139–1147, Jul. 2024, doi: 10.57152/MALCOM.V4I3.1552.
[6] W. Widayat, et al., “Data Mining Implementation: A Survey,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 36, no. 3, pp. 1960-1968, 2024, doi: http://doi.org/10.11591/ijeecs.v36.i3.pp1960-1968.
[7] M. F. Haryanti et al., “Pengaruh Data Mining, Strategi Perusahaan Terhadap Laporan Kinerja Perusahaan,” Jurnal Portofolio: Jurnal Manajemen dan Bisnis, vol. 3, no. 1, pp. 71–90, 2024, doi: https://doi.org/10.70704/jpjmb.v3i1.285.
[8] A. N. W. Zain and A. Tholib, “Klasifikasi Data Mining di Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Sistem Informasi Fakultas Teknik Universitas Nurul Jadid,” SKANIKA: Sistem Komputer dan Teknik Informatika, vol. 7, no. 2, pp. 204–213, 2024, doi: 10.36080/skanika.v7i2.3200.
[9] R. Ayu, W. Sutriana, M. Surya, and N. Sudirman, “The Strategic Role of Forecasting in Managerial Planning: A Scientific Literature Review,” The Journal of Financial, Accounting, and Economics, vol. 1, no. 2, pp. 103–115, 2024, doi: 10.58857/JFAE.2024.V01.I02.P05.
[10] L. Adhitama, et al., “Peramalan Jumlah Permintaan Kaos Sablon di Octopus Screen Printing Studio,” Jurnal Tekstil, vol. 7, no. 2, pp. 154–162, 2024, doi: 10.59432/jute.v7i2.121.
[11] C. K. Murni, “Perbandingan Peramalan Penjualan Minuman Menggunakan Algoritma Single Exponential Smoothing dan Triple Exponential Smoothing,” Journal of Informatics Development, vol. 1, no. 2, pp. 59–64, 2023, doi: 10.30741/jid.v2i2.1014.
[12] Y. S. Sura, A. P. Sasmito, and J. Dedy Irawan, “Peramalan Kebutuhan Stok Produk Puzzle Berdasarkan Data Penjualan di PT. XYZ Menggunakan Metode Double Moving Average,” SKANIKA: Sistem Komputer dan Teknik Informatika, vol. 8, no. 1, pp. 60–69, 2025, doi: 10.36080/skanika.v8i1.3317.
[13] S. Anggreani and Yahfizham, “Pengantar dan Pengenalan Konsep Dasar Algoritma Pemrograman,” Pendekar: Jurnal Pendidikan Berkarakter, vol. 2, no. 1, pp. 282–294, 2024, doi: 10.51903/pendekar.v2i1.599.
[14] I. Nabillah and I. Ranggadara, “Mean Absolute Percentage Error untuk Evaluasi Hasil Prediksi Komoditas Laut,” JOINS (Journal of Information System), vol. 5, no. 2, pp. 250–255, 2020, doi: 10.33633/joins.v5i2.3900.
[15] W. M. Kansha, S. Saherih, and M. Muchlis, “Analisis Perbandingan Framework Codeigniter Dan Laravel Dalam Pengembangan Web Application,” Jurnal Teknik Informatika, vol. 9, no. 1, pp. 27–33, 2023, doi: 10.51998/jti.v9i1.511.
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