Path: Top -> Journal -> Jurnal Nasional Teknik Elektro dan Teknologi Informasi -> 2016 -> Vol 5, No 4 (2016)

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

Journal from gdlhub / 2017-08-22 11:06:41
Oleh : Memen Akbar, Cici Patmala, Dini Nurmalasari, JNTETI
Dibuat : 2016-11-10, dengan 1 file

Keyword : Ekstraksi tabel, DOM, Website, HTML, DFS
Url : http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/273
Sumber pengambilan dokumen : Web

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.

Beri Komentar ?#(0) | Bookmark

PropertiNilai Properti
ID Publishergdlhub
OrganisasiJNTETI
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

Print ...

Kontributor...

  • , Editor: Calvin

Download...

  • Download hanya untuk member.

    273-418-1-SM
    Download Image
    File : 273-418-1-SM.pdf

    (925883 bytes)