Analysis Redundant Data Over Internet Website
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Abstract
The present was aimed to analysis redundant data over internet which is using to display webpage. The sample websites are classified into three categories: (a) website for broadcasting news or information data over internet, (b) web board website which allows users to post their comment or share information to each others, and (c) web search engine website which provides searching service. The script data, which is HTML (Hyper Text Markup Language), is analyzed compare to the script of another page of the same website to find ratio of redundant data. The result shows that the news website (a) has highest ratio of redundant data. In the other words, when a user click on the website to seek to another page, 66% of the script data must be send again. The web board website (b) has lowest ratio of redundant data, that is 23%. For the web search engine website (c), the ratio of redundant data is 38%, which is almost the same as the web board website (b).
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