| Abstrak/Abstract |
Online buying and selling activities in Indonesia
continue to develop every year. In 2018 there were approximately
106.96 million users of online-based transactions and the number
is predicted to continue to grow. This is caused by a shift from
conventional shopping method to online shopping method, as
online shopping method is more practical. At present, online
shops are starting to analyze the data of online sales and
purchases, generated from the websites, for the purpose of
compiling a sales strategy. One type of data that can be analyzed is customer behavior data. This data can be recorded based on customer browsing activities when they are doing online
shopping, resulting in clickstream data. In this study, a data
collection architecture for online shops will be proposed, which
will provide a module for recording clickstream data for online
shops’ users. This module will be designed on web and mobile
applications, considering that currently customers can also access online shops through mobile commerce applications on
smartphones that are used. The clickstream data that has been
collected, will be processed further for the purpose of making
decisions related to the sales strategy, such as to identify potential customers and determine recommendations for customers. |
