Badriyah, Fatimah Ulwiyatul
Universitas Islam Negeri Sunan Gunung Djati Bandung

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VECTOR SPACE MODEL (VSM) FOR THE SEARCH OF QUR’AN AND HADITHS VERSES ON SCIENCE AND TECHNOLOGY Taufik, Ichsan; Jaenudin, Mohamad; Badriyah, Fatimah Ulwiyatul; Subaeki, Beki
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i5.2002

Abstract

In Indonesia, there are mobile applications and websites that provide search features in the Qur'an and Hadith, but the search process is still limited to word matching methods, so the system often cannot return relevant information when keywords or keywords are in the form of phrases or sentence. At present there is no website that specifically provides a collection of verses from the Qur'an and Hadith relating to Science and Technology. Therefore, a website-based search application was made that applies the Vector Space Model (VSM) algorithm to search verses and hadith about Science and Technology using the discussion as its parameters. Keywords can be words, phrases or sentences. The results of the percentage of application success using 20 keyword samples, amounting to 81% with an average time of 2.24 seconds.
THE SEARCH FOR SCIENCE AND TECHNOLOGY VERSES IN QUR’AN AND HADITH Taufik, Ichsan; Jaenudin, Mohamad; Badriyah, Fatimah Ulwiyatul; Subaeki, Beki; Kurahman, Opik Taupik
Bulletin of Electrical Engineering and Informatics Vol 10, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i1.2674

Abstract

Currently, the Vector Space Model algorithm has been widely implemented for the document search feature because of its reliability in retrieving information. One of them in the search for verses of the Qur'an based on the translation. However, if the phrase or word used is different (even though it has one meaning) with the word in the document in the database, the system will not display the verse. As we know that the Qur'an has a very deep meaning, so an interpretation of the verse is needed. Therefore, this research focuses on implementing the Vector Space Model (VSM) algorithm for searching verses and hadiths in science and technology by using the discussion parameters of these verses or hadiths. The test results obtained with 20 keyword samples using metric recall were 81% with an average time of 2.24 seconds.