Gold Price Administration and Prediction Application using Moving Average (MA) Method

Setiawan, Alexander and KANELSON, KWAN, DAVIN (2024) Gold Price Administration and Prediction Application using Moving Average (MA) Method. [UNSPECIFIED]

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Abstract

This research focuses on creating an administration and gold price prediction application using the Moving Average method for The Gold Shop Company. This application is designed to assist the store in managing store administration data, managing gold stocks, and predicting future gold prices by implementing the Simple Moving Average (SMA) method based on historical gold price data. Application testing is carried out using the User Experience Questionnaire (UEQ) method for the mobile version of the application. The implementation of the simple moving average method in predicting gold prices is also measured for accuracy by calculating the error on each price prediction data using the Mean Absolute Percentage Error (MAPE) method approach and the result is that the MAPE value is not more than 10%. This indicates that the simple moving average method has a very high level of accuracy in predicting gold prices.

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