PREDIKSI PENJUALAN BUKET BUNGA DENGAN METODE EXPONENTIAL SMOOTHING

  • Vivi Rizki Indri Astuti
  • Eri Zuliarso
Keywords: Keywords – Sales, Exponential Smoothing, Value α, MSE

Abstract

Abstract- Sales is an activity that aims to find, influence and give instructions to buyers in order to adjust their needs with the products offered and enter into agreements regarding prices that are beneficial to both parties. A common problem faced by Bouquet of Flowers is how to predict or forecast the sale of interest in the future based on previous sales data. The method used to predict sales in this case is the single exponential smoothing method. The single exponential smoothing method will try to get sales forecasts and can be seen in the picture of sales fluctuations. In this method forecasting is done by repeating calculations continuously using the latest data, each of the latest data is given a greater weight.The final result of this study is the prediction of Bouquet Flower sales with exponential smoothing method with a value of α = 0.5 obtained MSE value of 220.408.848.886.482, the value of α = 0.7 obtained MSE values ​​of 245.896.287.781.153, the value of α = 0.8 obtained MSE value of 262,328,991,357,180 and the value of α = 0.9 obtained an MSE value of 281,555,575,487,970. Of the three values ​​α = 0.5, α = 0.7, α = 0.8 and α = 0.9, the smallest MSE value is α = 0.5 so the prediction of Buket Bunga sales with exponential smoothing method uses the value α = 0 , 5

References

Awat, J. N., (2006), Metode Peramalan Kuantitatif. Liberty. Yogyakarta

Kasim, F., Koniyo, M.H., Novian, D., (2013), Penerapan Metode Exponential Smoothing Ganda Untuk Memprediksi Nilai Penjualan Barang–Barang Elektronik Pada Toko Mitra Elektronik, Skripsi, Universitas Negeri Gorontalo
Margi, K.S., Pendawa, S.W., (2015), Analisa Dan Penerapan Metode Single Exponential Smoothing Untuk Prediksi Penjualan Pada Periode Tertentu (Studi Kasus : PT. Media Cemara Kreasi), Skripsi, Universitas Bunda Mulia

Santosa, B., (2015) Data Mining: Teknik Pemanfaatan Data Untuk Keperluan Bisnis. GrahaIlmu. Yogyakarta

Sidik, N., (2010), Forecasting Volume Produksi Tanaman Pangan, Tanaman Perkebunan Rakyat Kab Magelang Dengan Metode Exponential Smoothing Berbantu Minitab, Skripsi, Universitas Negeri Semarang

Sugiyono (2011), Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif dan R&D. Alfabeta. Bandung

Swastha, B., (2012), Manajemen Penjualan, Cetakan ke-duabelas. Liberty. Yogyakarta
Published
2019-03-20
How to Cite
Astuti, V. R. I., & Zuliarso, E. (2019). PREDIKSI PENJUALAN BUKET BUNGA DENGAN METODE EXPONENTIAL SMOOTHING. Information Technology and Telematics, 8(2). Retrieved from https://unisbank.ac.id/ojs/index.php/fti3/article/view/6500
Section
Articles