Implementasi Metode Least Square Untuk Prediksi Penjualan Kue Donat dan Bomboloni

Octavia, Ranti Wilda Nur (2022) Implementasi Metode Least Square Untuk Prediksi Penjualan Kue Donat dan Bomboloni. Implementasi Metode Least Square Untuk Prediksi Penjualan Kue Donat dan Bomboloni, 11 (1). pp. 251-262. ISSN 2089-3787 (Print) 2085-0893 (Online)

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Abstract

Prediction of requests amount for donuts and bomboloni by customers (consumers) of Milly Donuts Shop so far is not accurate, where the amount of production does not match the number of consumer requests. This study aims to implement the Least Square Method to forecast (prediction) in sales. The Least Square method is one of the techniques in preparing sales forecasts by minimizing the criterion function for the number of squares of prediction errors and using Mean Squad Error (MSE), Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE) to determine the error rate in the least squares method. Prediction using the Trend Least Square method, where the forecast value obtained is expected to match the actual data. The data used in this study is the recording of sales of donuts and bomboloni in January 2021 to December 2021. The results of the study obtained sales forecasts for January to March 2022 as many as 1550,1579,1608 with errors of 0.34 in MAD, 1.707 in MSE and 0.03602% on MAPE.

Item Type:	Article
Uncontrolled Keywords:	Prediksi; Least Square; Mean Squad Error; Mean Absolute Deviation; Mean Absolute Percentage Error
Subjects:	Engineering > Informatics Engineering Engineering
Divisions:	Faculty of Engineering > Informatics Engineering Study Program
Depositing User:	Ranti Wilda Nur Octavia
Date Deposited:	10 Aug 2022 01:38
Last Modified:	10 Aug 2022 01:38
URI:	http://eprints.umg.ac.id/id/eprint/6335

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