CLASSIFICATION OF THE LATEST HANDPHONE PRODUCTS IN THE TOKO REJEKI CELULAR IN MERAUKE DISTRICT

Gerzon Jokomen Maulany, GJM and Nasra Pratama Putra, NPP (2019) CLASSIFICATION OF THE LATEST HANDPHONE PRODUCTS IN THE TOKO REJEKI CELULAR IN MERAUKE DISTRICT. International Journal of Mechanical Engineering and Technology, 10 (1). pp. 344-351. ISSN 0976-6340

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Official URL: http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&...

Abstract

Toko Rejeki Celular is a shop that sells a variety of telecommunications electronic equipment, one of which is a handphone. The store manager is required to be able to make the right decisions in determining the sales strategy. In order to do this, further analysis is needed regarding data from the sale of mobile phones and the needs of customers. The purpose of this study was to apply data mining techniques to the Rejeki Celular Shop in Merauke Regency. The results of the study are expected to provide information in the form of classifications of sales of mobile phones that are most popular with customers and are less popular (best sales and normal sales). The data mining method used is the decision tree method, where the algorithm used is the C45 algorithm. As for the attributes are the type of mobile phone, price range, battery size and screen size. The data sample used is 21 data which is the sales data for mobile phones for 1 month. The results of this study are in the form of a system built using the PHP programming language and MySQL database. The highest factor affecting the purchase of mobile phones at Toko Rejeki Celular is the type of mobile attribute with the highest Gain, which is equal to 0.21687. The next factor is the price range attribute. As for the battery capacity factor and screen size it has no effect in producing a decision tree.

Item Type: Article
Uncontrolled Keywords: Data Mining, Decision Tree, Algorithm C45, Handphone
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik > Sistem Informasi
Depositing User: Unnamed user with username gerzon
Date Deposited: 01 Aug 2019 05:58
Last Modified: 02 Aug 2019 06:47
URI: http://eprints.unmus.ac.id/id/eprint/309

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