Implementasi Algoritma C4.5 Untuk Klasifikasi Penjualan Barang Di Swalayan Dutalia

LALO, Aprilianus Kristianus (2020) Implementasi Algoritma C4.5 Untuk Klasifikasi Penjualan Barang Di Swalayan Dutalia. Undergraduate thesis, Unika Widya Mandira.

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Abstract

The retail companies, including Dutalia Supermarket, are required to take the right decision in marketing strategy by observing market condition. However, the supermarket often has a difficulty to predict numbers of product sale, even it doesn’t have a special technique to predict the numbers of sale for the future. So, it causes the supermarket can’t determine minimum number of supplies. Because of that, this research is made to build a system that applying C4.5 algorithm to proccess a big data of products sale to see pattern of sale. Based on decision tree, a prediction of new collection of products sale data can be made. So, Dutalia Supermarket can determines minimum numbers of supplies. The research uses six atributes, they are kinds of product, price, total of products sale, time of sale, moment of sale, and sales status as the target atribute. Based on data training and prediction data test using RapidMiner Studio Version 9.7 application, the accuration of the calculation reaches 100%, so it can be concluded that the established system can be used to predict products sale in the future.

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