RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI
Vol. 4 No. 4 (2024): RESOLUSI March 2024

Forecasting Penjualan Produk Sembako Menggunakan Metode Triple Exponential Smoothing

Toyib Hidayat, Asep (Unknown)
Puspita Sari, Dwi (Unknown)
Andriani, Pebrinda (Unknown)



Article Info

Publish Date
31 Mar 2024

Abstract

Forecasting is a very important factor in the decision making process. The forecasts made are generally based on the past which is then analyzed using certain methods. Past data is collected, researched, analyzed and linked to the passage of time. In this research, the Triple Exponential Smoothing Method is used, which is a forecasting method that is commonly used because it has simple concepts and calculations. One of the reasons for using the periodic series data smoothing method is because this method can be done with two approaches, namely the smoothing method and the exponential smoothing method. The results obtained from this research. Selecting the right ?, ?, ? values ??can produce ideal MAPE values. It is proven that to obtain ideal values ??for ?, ?, ? using the brute force method, the values ??obtained are ? = 0.1, ? = 0, 2, and ? = 0.9, we get a MAPE value of 1.92%, where previously the resulting MAPE was 7.54%.

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Journal Info

Abbrev

resolusi

Publisher

Subject

Computer Science & IT

Description

Resolusi : Rekayasa Teknik Informatika dan Informasi, membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. ...