Prediksi Pendapatan Penjualan Menggunakan Metode Double Exponential Smoothing Pada Toko Retail XYZ
Keywords:
Retail Store Sales Revenue Prediction, Double Exponential SmoothingAbstract
Revenue is a key indicator in determining a company's financial success, both for identifying potential profits and losses. This predictive model is designed to assist management in developing strategies to increase product sales. Accurate forecasting can provide early warnings regarding the actions store management needs to take. This study employs the Double Exponential Smoothing Brown method with a smoothing parameter alpha (?) of 0.5. The analysis results indicate that the Mean Absolute Percentage Error (MAPE) values range from 0.26% to 4.29%, demonstrating a high level of accuracy. Based on these MAPE results, the predictive model is then implemented into a web-based system. This system allows management to access information anytime and anywhere. Therefore, this prediction system is expected to assist the store in making strategic decisions, particularly in managing and increasing future revenues
References
D. Purwadisastra, “STRATEGI RITEL KONVENSIONAL MODERN DALAM MENGHADAPI PERSAINGAN PADA MASA PANDEMI COVID 19 Oleh,” Jurnal Ekonomi dan Bisnis, vol. 8, no. 1, 2021.
B. Harahap, “Pengaruh Biaya Produksi Dan Harga Jual Terhadap Laba Penjualan Pada PT Shimano Batam,” JURNAL AKUNTANSI BARELANG, vol. 3, no. 2, pp. 12–19, Jun. 2019, doi: 10.33884/jab.v3i2.1208.
M. Risqi Ananda, N. Sandra Maharani, E. Fadhila, and A. Rahma, “DATA MINING DALAM PERUSAHAAN PT INDOFOOD LUBUK PAKAM,” 2023.
J. Manajemen et al., “Pengaruh Data Mining, Strategi Perusahaan Terhadap Laporan Kinerja Perusahaan,” vol. 3, no. 1, 2024.
E. A. N. Putro, E. Rimawati, and R. T. Vulandari, “Prediksi Penjualan Kertas Menggunakan Metode Double Exponential Smoothing,” Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), vol. 9, no. 1, p. 60, Apr. 2021, doi: 10.30646/tikomsin.v9i1.548.
S. Nurrohmah and E. Kurniati, “Penerapan Metode Double Exponential Smoothing Dari Brown Untuk Peramalan Jumlah Produksi Air,” vol. 21, no. 1, 2022.
M. H. Elison, R. Asrianto, and Aryanto, “PREDIKSI PENJUALAN PAPAN BUNGA MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING,” Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI), vol. 2, no. 3, pp. 45–56, Sep. 2020, doi: 10.52005/jursistekni.v2i3.60.
V. Tarigan, “PENERAPAN METODE DOUBLE EXPONENTIAL SMOOTHING UNTUK MEMPREDIKSI JUMLAH PENJUALAN SPRINGBED DI PT. MASINDO KARYA PRIMA,” Jurnal Informatika Polinema, vol. 9, no. 3, pp. 339–346, May 2023, doi: 10.33795/jip.v9i3.1335.
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, Jan. 2022, doi: 10.29407/gj.v6i1.16204.
E. Sanggala, “Penentuan Nilai Alpha Pada Double Exponential Smoothing Brown Dengan Evolutionary Algorithm & Excel Solver (Studi Kasus: Peramalan Penerimaan Pajak Pemerintah Pusat Indonesia),” vol. 16, no. 2, 2023.
J. Kezia Halim, D. Erny Herwindiati, and J. Hendryli, “PENERAPAAN GATED RECURRENT UNIT UNTUK PREDIKSI ZAT PENCEMAR UDARA,” Jurnal Ilmu Komputer dan Sistem Informasi, vol. 10, no. 2, Aug. 2022, doi: 10.24912/jiksi.v10i2.22540.
M. Azman Maricar, “Analisa Perbandingan Nilai Akurasi Moving Average dan Exponential Smoothing untuk Sistem Peramalan Pendapatan pada Perusahaan XYZ,” 2019.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Seminar Nasional Sistem Informasi dan Teknologi (SISFOTEK)
This work is licensed under a Creative Commons Attribution 4.0 International License.
http://creativecommons.org/licenses/by/4.0
