PREDIKSI PENJUALAN PERLENGKAPAN OLAHRAGA MENGGUNAKAN ALGORITMA C4.5 (STUDI KASUS: FATIMA SPORT TEMBILAHAN)
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Date
2021-12
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Publisher
Elfitra
Abstract
Sports are exercises to strengthen and nourish the body (such as football, swimming,
marathons) or activities that involve the physical and skills of individuals or teams,
carried out for entertainment. FATIMA Sport Tembilahan has not analyzed its sales of
sport equipment's so it does not know whether the products being sold are in great
demand, either from the brands or types of products available as well as what products
are selling well and what products are not selling well. This study aimed to build a
system that could predict the sales of goods that were in demand and not in demand by
using the C4.5 algorithm. The attributes used were the type of goods, types of sports,
brands, prices, quantities and the resulting predictions are in demand and not in
demand. This system designed use UML diagrams with the PHP programming language
and MySQL database. The results of system testing that carried out using a confusion
matrix against 54 sales data with best-selling and non-selling labels produce an
accuracy rate of 85.19% .
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Keywords
Prediction, C4.5 Algorithm, Sales, Sports Equipment
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