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Informatian Retrieval for Popular Words in Bahasa Translation of Al Quran and Hadith Bukhori Using Enhance Confix Stripping (ECS) Stemming

Received: 11 October 2018     Accepted: 23 May 2019     Published: 15 August 2019
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Abstract

This paper discusses other ways that can be used to obtain information about information seeking for popular words in Qur’an and Hadith language translations. Popular words like the example of searching for the word "corruption" will be very difficult to find in translations of the Qur’an and Hadith. Information about popular words in the translation of the Qur’an and Hadith is needed so as to facilitate the search. In the research carried out was to obtain information about popular words first and then find the word synonym. This study uses Information Retrieval Technique which is a tokenizing process, stopword removal and stemming. The stemming method used in this study is ECS (Enhance Confix Stripping). Information retrieval is used to display some of the Qur'an and hadith that relate to the keywords searched for according to certain criteria. The dataset used in this study comes from the translation of the Ministry of Religion of the Republic of Indonesia.

Published in American Journal of Software Engineering and Applications (Volume 8, Issue 1)
DOI 10.11648/j.ajsea.20190801.13
Page(s) 18-31
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Informasi, Information Retrieval, Al Quran, Hadith, ECS

References
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Cite This Article
  • APA Style

    Tristyanti Yusnitasari, Irfan Humaini, Lily Wulandari, Diana Ikasari. (2019). Informatian Retrieval for Popular Words in Bahasa Translation of Al Quran and Hadith Bukhori Using Enhance Confix Stripping (ECS) Stemming. American Journal of Software Engineering and Applications, 8(1), 18-31. https://doi.org/10.11648/j.ajsea.20190801.13

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    ACS Style

    Tristyanti Yusnitasari; Irfan Humaini; Lily Wulandari; Diana Ikasari. Informatian Retrieval for Popular Words in Bahasa Translation of Al Quran and Hadith Bukhori Using Enhance Confix Stripping (ECS) Stemming. Am. J. Softw. Eng. Appl. 2019, 8(1), 18-31. doi: 10.11648/j.ajsea.20190801.13

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    AMA Style

    Tristyanti Yusnitasari, Irfan Humaini, Lily Wulandari, Diana Ikasari. Informatian Retrieval for Popular Words in Bahasa Translation of Al Quran and Hadith Bukhori Using Enhance Confix Stripping (ECS) Stemming. Am J Softw Eng Appl. 2019;8(1):18-31. doi: 10.11648/j.ajsea.20190801.13

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  • @article{10.11648/j.ajsea.20190801.13,
      author = {Tristyanti Yusnitasari and Irfan Humaini and Lily Wulandari and Diana Ikasari},
      title = {Informatian Retrieval for Popular Words in Bahasa Translation of Al Quran and Hadith Bukhori Using Enhance Confix Stripping (ECS) Stemming},
      journal = {American Journal of Software Engineering and Applications},
      volume = {8},
      number = {1},
      pages = {18-31},
      doi = {10.11648/j.ajsea.20190801.13},
      url = {https://doi.org/10.11648/j.ajsea.20190801.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20190801.13},
      abstract = {This paper discusses other ways that can be used to obtain information about information seeking for popular words in Qur’an and Hadith language translations. Popular words like the example of searching for the word "corruption" will be very difficult to find in translations of the Qur’an and Hadith. Information about popular words in the translation of the Qur’an and Hadith is needed so as to facilitate the search. In the research carried out was to obtain information about popular words first and then find the word synonym. This study uses Information Retrieval Technique which is a tokenizing process, stopword removal and stemming. The stemming method used in this study is ECS (Enhance Confix Stripping). Information retrieval is used to display some of the Qur'an and hadith that relate to the keywords searched for according to certain criteria. The dataset used in this study comes from the translation of the Ministry of Religion of the Republic of Indonesia.},
     year = {2019}
    }
    

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    T1  - Informatian Retrieval for Popular Words in Bahasa Translation of Al Quran and Hadith Bukhori Using Enhance Confix Stripping (ECS) Stemming
    AU  - Tristyanti Yusnitasari
    AU  - Irfan Humaini
    AU  - Lily Wulandari
    AU  - Diana Ikasari
    Y1  - 2019/08/15
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    DO  - 10.11648/j.ajsea.20190801.13
    T2  - American Journal of Software Engineering and Applications
    JF  - American Journal of Software Engineering and Applications
    JO  - American Journal of Software Engineering and Applications
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    PB  - Science Publishing Group
    SN  - 2327-249X
    UR  - https://doi.org/10.11648/j.ajsea.20190801.13
    AB  - This paper discusses other ways that can be used to obtain information about information seeking for popular words in Qur’an and Hadith language translations. Popular words like the example of searching for the word "corruption" will be very difficult to find in translations of the Qur’an and Hadith. Information about popular words in the translation of the Qur’an and Hadith is needed so as to facilitate the search. In the research carried out was to obtain information about popular words first and then find the word synonym. This study uses Information Retrieval Technique which is a tokenizing process, stopword removal and stemming. The stemming method used in this study is ECS (Enhance Confix Stripping). Information retrieval is used to display some of the Qur'an and hadith that relate to the keywords searched for according to certain criteria. The dataset used in this study comes from the translation of the Ministry of Religion of the Republic of Indonesia.
    VL  - 8
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Author Information
  • Faculty of Computer Science and Information Technology, Gunadarma University, Depok, Indonesia

  • Faculty of Computer Science and Information Technology, Gunadarma University, Depok, Indonesia

  • Faculty of Computer Science and Information Technology, Gunadarma University, Depok, Indonesia

  • Faculty of Computer Science and Information Technology, Gunadarma University, Depok, Indonesia

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