Sistem Prediksi Penjualan Beras pada Koperasi Pegawai Republik Indonesia (KPRI) Bina Warga menggunakan Metode Single Moving Average

Muhammad Wahyu Fajar Firdaus

doi:10.61132/jupiter.v2i5.538

Authors

Muhammad Wahyu Fajar Firdaus Universitas Muhammadiyah Gresik

DOI:

https://doi.org/10.61132/jupiter.v2i5.538

Keywords:

Single Exponential Smoothing, Sales Forecasting System, Data Mining

Abstract

This study aimed to know the prediction of rice sales for Employee Cooperatives Republic of Indonesia Bina Warga Benjeng in the following month. Rice sales are often difficult to predict market demand. When consumer demand increases, rice supplies sometimes suffer from shortages. If consumer demand decreases, stock builds too much and results in a decrease in rice quality. In order for the rice sales process to run smoothly, it is necessary to have a sales prediction so that there are no excesses or shortage in rice supplies. The method of discussion used to predict in this study using the Single Moving Average method which is a prediction method that uses new actual data requests to raise the predictive value of the next month’s demand. The best results were using the Single Moving Average methods using rice sales data variant 25 kg variant were successfully implemented with an RMSE value of 9.3% which means this prediction accuracy of 90.7% accurate.

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