Real-time information system basic needs price change predictions in the traditional market

Abstract

Currently, the traditional market is a place that is popular in society to buy various basic needs. But unfortunately, until this time information about prices in the traditional market still very minimal, and prediction of the price in later days not available yet, as of this necessary there is a system that can deliver information of basic needs price, and a feature that can be predicting price in later days. In this research method that is used to perform the price prediction is the weighted moving average (WMA), and determine the length of data retrieved is 7 days. As of the calculation accuracy result, the lowest MAPE value is 2,4768% and the maximum is 7,8829%, it can be concluded predictions were made already quite accurate and the price predictions can be informed to the public on every day.