DISCOUNT PRICING SYSTEM USING FUZZY SUGENO METHOD
DOI:
https://doi.org/10.17977/um068.v6.i1.2026.5Keywords:
Fuzzy Sugeno, DiscountAbstract
In an online shop, some items do not sell optimally, so a price cut or discount is applied to them to maximize sales. Determining the discount price in the Tokotadia online shop is based on three pieces of data: price, stock, and the item’s rating. The data is obtained from Shopee’s online shop. Using the Fuzzy method because of its easy-to-understand logic and mathematical concept. The output of this method will be displayed as a statement indicating whether a discount is applied, using the Mape method. Therefore, a Discount Price Determination System Using the Sugeno Fuzzy Method is proposed. Based on MAPE calculations, the average price prediction error is approximately 4.17%, so the prediction model is classified as very accurate and follows the original price trend well.
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