Browsing by Author "Fildzadeno, Sy. Salsabila"

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    IMPLEMENTASI METODE TREND MOMENT DALAM MERAMALKAN HARGA MINYAK GORENG DI 9K SWALAYAN
    (Elfitra, 2023-07) Fildzadeno, Sy. Salsabila; Mahdiyah, Evfi
    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.