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International Journal of Nonlinear Analysis and Applications، جلد ۱۲، شماره Special Issue، صفحات ۹۸۱-۹۹۶
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عنوان انگلیسی Visualizing sharia law: an information retrieval approach based on key extraction algorithm
چکیده انگلیسی مقاله Islamic jurisprudence as it relates to every element of Muslim life that founds in Sharia. Many interpretations exist for Sharia, all based on differing Islamic schools of thought and multiple laws concerning Sharia. In Malaysia, there are 135 sections of Sharia law related to family and marriage in Act 303. The survey conducted proves that Malaysians struggled when looking for sharia law and took a toll of time. Therefore, we propose a web-based Sharia Law Finder (SLF) system that solves the sharia law’s information retrieval issues in Malaysia. The SLF adapted the key extraction (KE) algorithm, which is Term Frequency-Inverse Document Frequency (TF-IDF), and Rapid Automatic Keyword Extraction (RAKE). The testing for implementation of both algorithm effectiveness is using the functional and usability test. The solution enhances using visualization tools which are bubble charts and word cloud. Bubble charts visualize the related Sharia law based on users’ queries and word cloud to visualize keywords used by the users. A total of 30 respondents have tested the functionality and usability of SLF. As a result, the system successfully works as specified functionality, 96.58% for the System Usability Scale, indicating the proposed solution’s acceptance.
کلیدواژه‌های انگلیسی مقاله Family and marriage act, RAKE algorithm, Sharia law, TF-IDF, Visualization
نویسندگان مقاله Khyrina Airin Fariza Abu Samah |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka Kampus Jasin, Melaka, Malaysia

Raseeda Hamzah |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Nur Nabilah Abu Mangshor |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka Kampus Jasin, Melaka, Malaysia

Lala Septem Riza |
Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia

Norah Md Noor |
Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Skudai, Johor Malaysia

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_5545_2872b1b8f5f0aa3fed2b1789da90d42e.pdf
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