Agus Suwondo
Politeknik Negeri Semarang

Ulfa Hidayati
Politeknik Negeri Semarang

Anisa Prastyanti
Politeknik Negeri Semarang

Keywords : Data Mining, Neural Network, Least Square, Sales Forecasting

Abstract

This study aims to apply data mining-based sales forecasting in sales data processing of Ifa Mart so that it can help Ifa Mart in forecasting sales which is used as a reference in sales planning based on historical data owned by Ifa Mart. The results of the study show that the results of sales forecasting for the period January 2022-May 2022 using a neural network algorithm have forecasting results that are close to realization because the Mean Absolute Percentage Error(MAPE) value is below 10%, which is 7.15%, while the results of predicting the number of sales using the algorithm The least square as a whole has a Mean Absolute Percentage Error (MAPE) range value above 20%, which is 23.45%. Therefore, forecasting using neural network algorithms can be applied in the next period as a reference in sales planning. 

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Published
2023-10-18

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Published
Vol. 11No. 1 (2023): Simposium Nasional Akuntansi Vokasi (SNAV)