Ekstraksi Data pada Tabel dari Halaman Web Menggunakan Pohon Document Object Model

  • Memen Akbar Politeknik Caltex Riau
  • Cici Patmala Politeknik Caltex Riau
  • Dini Nurmalasari Politeknik Caltex Riau
Keywords: Ekstraksi tabel, DOM, Website, HTML, DFS

Abstract

Data on the web page can be available in various formats, such as table. With the growing of web pages, the need to extract data from tables is increasing. Results of the extraction can be used for integration with other web tables or stored in a database. This study discusses the extraction of data from a table on a web page using a Document Object Model (DOM) tree. The initial step of this extraction process is to transform the HTML document into a DOM tree. Then, by applying search methods Depth First Search (DFS), part of the data in the table is extracted and stored in a CSV file. An engine has been developed using Visual Basic. The results show that the engine can automatically extract data from the table that has the following characteristics: the number of rows and columns are not limited, able to handle all of the table orientation layout, and able to handle tables that are merged cells.

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How to Cite
Memen Akbar, Cici Patmala, & Dini Nurmalasari. (1). Ekstraksi Data pada Tabel dari Halaman Web Menggunakan Pohon Document Object Model. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 5(4), 265-271. Retrieved from https://jurnal.ugm.ac.id/v3/JNTETI/article/view/2907
Issue
Vol 5 No 4: November 2016
Section
Articles

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