Abstract:
Setting the selling price is one of the factors that can be both profitable and detrimental
for the seller. If you choose the wrong selling price, the trader can suffered big losses.
Cooking oil, which is a staple in Indonesia, often experiences ups and downs,
demanding that sellers be able to provide favorable prices for companies and buyers.
The purpose of making this forecasting system is to find out whether the trend moment
method can predict the selling price of Avena, Bimoli Classic and Fortune cooking oil
at 9K Supermarkets properly, and implement it into a web-based system. Trend moment
is the best calculation among other types of forecasting calculations because there is no
difference between odd and even data. The system design uses the Unified Modeling
Language (UML), there are use case diagrams, sequence diagrams and class diagrams.
Implementation in the PHP programming language and MySQL Database. Forecasting
is carried out using cooking oil selling price data for the period January 2021 to
February 2022. The results of the cooking oil selling price forecasting that have been
obtained in this study are Avena IDR 14,984.71, Bimoli Classic IDR 15,587.97 and
Fortune IDR 15,700.32. The Mean Absolute Error (MAPE) for Avena is 0.50%, Bimoli
Classic is 0.80% and Fortune is 0.86%, which are included in the very good forecasting
criteria.
