TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING

Authors

  • Rizka Sholikah Informatics Department, Faculty of Information and Technology, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS Kampus Sukolilo, Surabaya, 60111, Indonesia
  • Dhian Kartika Informatics Department, Faculty of Information and Technology, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS Kampus Sukolilo, Surabaya, 60111, Indonesia
  • Agus Zainal Arifin Informatics Department, Faculty of Information and Technology, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS Kampus Sukolilo, Surabaya, 60111, Indonesia
  • Diana Purwitasari Informatics Department, Faculty of Information and Technology, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS Kampus Sukolilo, Surabaya, 60111, Indonesia

DOI:

https://doi.org/10.21609/jiki.v10i1.408

Keywords:

Document Ranking, Arabic, Term Weighting, Query, PIFQ

Abstract

Query becomes one of the most decisive factor on documents searching. A query contains several words, where one of them will become a key term. Key term is a word that has higher information and value than the others in query. It can be used in any kind of text documents, including Arabic Fiqh documents. Using key term in term weighting process could led to an improvement on result’s relevancy. In Arabic Fiqh document searching, not using the proper method in term weighting will relieve important value of key term. In this paper, we propose a new term weighting method based on Positive Impact Factor Query (PIFQ) for Arabic Fiqh documents ranking. PIFQ calculated using key term’s frequency on each category (mazhab) on Fiqh. The key term that frequently appear on a certain mazhab will get higher score on that mazhab, and vice versa. After PIFQ values are acquired, TF.IDF calculation will be done to each words. Then, PIFQ weight will be combine with the result from TF.IDF so that the new weight values for each words will be produced. Experimental result performed on a number of queries using 143 Arabic Fiqh documents show that the proposed method is better than traditional TF.IDF, with 77.9%, 83.1%, and 80.1% of precision, recall, and F-measure respectively.

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Published

2017-02-28

How to Cite

Sholikah, R., Kartika, D., Arifin, A. Z., & Purwitasari, D. (2017). TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING. Jurnal Ilmu Komputer Dan Informasi, 10(1), 29–35. https://doi.org/10.21609/jiki.v10i1.408

Issue

Vol. 10 No. 1 (2017): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)

Section

Articles

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