SCRAPING WEB MARKETPLACE MENGGUNAKAN METODE DOM PARSING UNTUK PENGUMPULAN DATA PRODUK

  • Muhammad Joko Umbaran Haris Bahrudin Universitas Alma Ata
  • Hardan Gutama

Abstract

Web Scraper is a way of extracting scripts that run there that are commonly chosen to do web memos via DOM parsing. Specific nodes that are collected using DOM parsers and tools like XPath help the process of scraping web pages. In this study using the DOM Parsing method to obtain product data on the market. Sraper can be further developed as a data collection technique on the internet for further research that can be provided about the concept of big data to be used for forecasting or getting the information needed. Alone Parsing is a way of breaking data or symbols, both in language and in language, according to formal grammar rules. After using the parshing technique, it will be generated again using Parse Tree, which is a process of compiling product data that forms like a tree, using siyntak analysis to break down product categories.

References

[1] Jesyshankar.R dan B. Ramesh Babu.(2019). Website of Universities in Tamil Nadu: a webometric study. Annals of library and information studies. 56 (2), 69-79.
[2] Thelwall, M. (2017). Conceptualizing documentation on the Web: An evaluation of different heuristic based models for counting links between university Web sites. Journal of the American Society for Information Science and Technology, Vol. 53, No. 12, pp. 995-1005.
[3] Thelwall, M. (2018). What is this link doing here? Beginning a fine-grained process of identifying reasons for academic hyperlink creation. Information research, Vol. 8, No. 3, pp. 8-3.
[4]. Bar-Ilan, J. (2015). What do we know about links and linking? A framework for studying links in academic environments. Information Processing & Management, Vol. 41, No. 4, pp. 973-986.
[5] Smith, A. & Thelwall, M. (2017). Web impact factors for Australasian universities. Scientometrics, Vol. 54, No. 3, pp. 363-380.
[6] Noruzi, A. (2019). The Web Impact Factor: a survey of some Iranian university web sites. Studies in Education & Psychology
[11] Smith, A.G. (2019). The Impact of Web sites: a comparison between Australasia and Latin America. Proceedings of INFO, Vol. 99.
[7] Jati, H. (2019). Web Impact Factor: a Webometric Approach for Indonesian Universities. In International Conference for Informatics for Development. Yogyakarta
[8] Rowlands, Ian. (2019) The internet: its impact and evaluation. Proceedings of an international forum held at Cumberland Lodge, Windsor Park, 16-18th . London ASLIB/INTI. Hal 126.
[9] B. Haris .M, “Analisis webometrics ranking universitas negeri dan swasta di indonesia menggunakan web impact factor,” 2017.
Published
2020-03-18
How to Cite
BAHRUDIN, Muhammad Joko Umbaran Haris; GUTAMA, Hardan. SCRAPING WEB MARKETPLACE MENGGUNAKAN METODE DOM PARSING UNTUK PENGUMPULAN DATA PRODUK. JURNAL ILMIAH INFORMATIKA, [S.l.], v. 8, n. 01, p. 77-80, mar. 2020. ISSN 2615-1049. Available at: <http://ejournal.upbatam.ac.id/index.php/jif/article/view/1852>. Date accessed: 29 mar. 2020. doi: https://doi.org/10.33884/jif.v8i1.1852.