ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login


Journal: International Journal of Mechanical Engineering and Technology(IJMET) (Vol.10, No. 1)

Publication Date:

Authors : ; ;

Page : 344-351

Keywords : Data Mining; Decision Tree; Algorithm C45; Handphone;

Source : Downloadexternal Find it from : Google Scholarexternal


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

Last modified: 2019-05-23 20:58:53