Analisis dan Prediksi Penjualan Produk Terlaris Distro “Root Shoes” dengan Aplikasi Android

Dimas Winata, Anjar and , Fatah Yasin, S.T.,M.T (2017) Analisis dan Prediksi Penjualan Produk Terlaris Distro “Root Shoes” dengan Aplikasi Android. Diploma thesis, Universitas Muhammadiyah Surakarta.

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Abstract

ROOT SHOES” as a distribution store is a company which sell many styles of shoes. This company should meet the need of the cusomers every day and required to take the right decision for the selling strategy. In order to be able to do that, the company needs a lot of information resources to be analyzed. At “ROOT SHOES” distribution store, there are some problems about the shoes selling. The company has difficulty to get strategic information such as the level of selling per period or the best seller product. The availability of the abundant data are not used maximally and there is no decision support system and the method which is used to design bussiness strategic to increase the selling. The used of classification decision C.45 method which has implemented in the android application. By implementing the data mining data using decision tree to know what is the kind or the brand of the shoes which is the most desirable in the future or the future strategic. The result of this research is producing a system that can help us an analysis and prediction of the best seller product based on the meet of “ROOT SHOES” distribution store. By that system, the company will be able to predict the produst which will be the best seller product and the company will be able to provide the product which is predicted as the best seller product.

Item Type:	Karya ilmiah (Diploma)
Uncontrolled Keywords:	algorithm c4.5, android, distribution store, mining data, prediction
Subjects:	L Education > L Education (General)
Divisions:	Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Depositing User:	ANJAR DIMAS WINATA
Date Deposited:	07 Feb 2017 06:39
Last Modified:	07 Feb 2017 06:39
URI:	http://eprints.ums.ac.id/id/eprint/49231

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