Implementation of Data Mining on Online Shop in Indonesia

International Conference on Informatics, Engineering, Science and Technology

计算机科学;工业技术

Chouat, O.^1,2 ; Irawan, A.H.^1,2

Departemen of Science, University of Monastir, Tunisia^1

Departemen Teknik Dan Ilmu Komputer, Universitas Komputer Indonesia, Indonesia^2

关键词: Buyers and sellers;    Market share;    Marketing strategy;    Online retails;    Qualitative research;    Statistical functions;    Statistical performance analysis;    Stock supplies;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/407/1/012013/pdf
DOI  :  10.1088/1757-899X/407/1/012013

来源: IOP

【 摘 要 】

This research attempts to explore the implementation of Data Mining on online shop in Indonesia. Data Mining is a method of collecting data and finding a certain pattern in order to discover new and useful informations. Data Mining has been used comprehensively and effectively by many institutions and for certain purposes. In online store, Data Mining includes the statistical functions on a wide range of functions designed to support statistical performance analysis on the data such as the purchasing of the customers. The method used in this journal was qualitative research which concerned with Data Mining phenomena happened in online retail in Indonesia. The results of implementing Data Mining on online retail is to help the owner when maximizing stock supply, maximizing marketing strategy with market-share that can be seen from the segment of products purchased by customers. Other than that, there is the convenience of sorting products for both buyers and sellers.