Implementation of Web-Based Single Exponential Smoothing Method in Sales Forecasting at UD. Kaya Rasa

##plugins.themes.bootstrap3.article.main##

Hafedo Rakhmad Prasetyo Febry Eka Purwiantono

Abstract

This research was conducted to help forecast the sales of cakes and foods at UD. Kaya Rasa, which fluctuates and experiences varying sales volumes in each sales period. Based on the aforementioned problem, a system is needed to forecast the sales of cakes and foods, namely Single Exponential Smoothing (SES). This research uses the SDLC Waterfall model for system development, while the application will be web-based using the CodeIgniter framework. Black box testing is conducted for system testing. The result of this research is a web-based forecasting application that can predict the sales of cakes and food in the next period based on actual sales data from the previous period. As a result, UD. Kaya Rasa can accurately estimate sales and sales profits for the next period using the SES formula.

##plugins.themes.bootstrap3.article.details##

Section
Articles
References
Agustinawati Purba. (2015). Perancangan Aplikasi Peramalan Jumlah Calon Mahasiswa Baru Yang Mendaftar Menggunakan Metode Single Exponential Smothing (Studi Kasus : Fakultas Agama Islam UISU). Jurnal Riset Komputer (JURIKOM), 2(6), 8–12.
Arridho, M. N., & Astuti, Y. (2020). Penerapan Metode Single Exponential Smoothing untuk Memprediksi Penjualan Katering pada Kedai Pojok Kedaung. Jurnal Ilmiah Intech : Information Technology Journal of UMUS, 2(02), 35–44.
Auji Fyanda, D., & Ula, M. (2017). Implementasi Fuzzy Time Series Pada Peramalan Penjualan Tabung Gas Lpg Di Ud. Samudera Lpg Lhokseumawe. Jurnal Sistem Informasi, 1(1), 1–25.
Fimelya, D. (2018). Penerapan Metode Single Exponential Smoothing Untuk Sistem Informasi Peramalan Persediaan Bahan Baku Pada Summer Lovin’ Co Florist.
Jayanti, K. D., Wijaya, E. W., Bisono, E. F., Nurkhalim, R. F., Susilowati, I., Setyawan, I., & Putra, B. R. (2020). Proyeksi Angka Kematian Bayi di Rumah Sakit X Kabupaten Kediri dengan Single Exponential Smoothing. Jurnal Berkala Kesehatan, 6(2), 50. https://doi.org/10.20527/jbk.v6i2.8925
Kristanti, N., & Darsyah, M. Y. (2018). Perbandingan Peramalan Metode Single Exponential Smoothing dan Double Exsponential Smoothing pada Karakteristik Penduduk Bekerja di Indonesia Tahun 2017. In Prosiding Seminar Nasional Mahasiswa Unimus (Vol. 1).
Nabillah, I., & Ranggadara, I. (2020). Mean Absolute Percentage Error untuk Evaluasi Hasil Prediksi Komoditas Laut. JOINS (Journal of Information System), 5(2), 250–255. https://doi.org/10.33633/joins.v5i2.3900
Nadiva Ramandani, Aditya, A., & Febry Eka Purwiantono. (2023). Development of Decision Support Applications for Granting Mortgages using the Fuzzy-Weighted Product method. JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING, 6(2), 526–537. https://doi.org/10.31289/jite.v6i2.8474
Naga, D., Kumar, P., Sathvika, D., & Kumar, A. (2018). A Study on SDLC For Water Fall and Agile. International Journal of Engineering & Technology, 7(2), 10–13. www.sciencepubco.com/index.php/IJET
Santika, D., Hayati, R. S., Lazuli, I., Teknik, J., & Potensi Utama, I. (2020). Penerapan Metode Triple Exponential Smoothing Dalam Prediksi Penanaman Bibit Kelapa Sawit Pada PT. Palmanco Inti Sawit. InfoSys Journal, 5(1), 12–24.