Pengelompokan Tematik Al-Qur’an Menggunakan Metode LSA Dengan Pembobotan Binary dan Probabilistic–IDF

Devi, Sri (2020) Pengelompokan Tematik Al-Qur’an Menggunakan Metode LSA Dengan Pembobotan Binary dan Probabilistic–IDF. Other thesis, Universitas Islam Riau.

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Abstract

Al - Qur'an is a holy book that contains a collection of revelations of Allah SWT revealed to the Prophet Muhammad through the intermediary angel Gabriel AS, Thematic Al - Qur'an is a method where the way it works is to collect verses of the Qur'an that have the same meaning or purpose discussing certain titles or topics and grouping them, in this study the research discusses the th ematic grouping of the Qur'an the theme of Substance and Nature of God by using the Latent Semantic Analysis (LSA) method by weighting Binary and Probabilistic - IDF. In this study the model and the results of grouping are realized for the taking of scientif ic resources, which aims to increase the efficiency of scientific search and reduce the difficulty in grouping surahs and verses in the Amazing Cordoba Qur'an and the data for the Qur'an obtained from the qurandatabase. org. The results of this study found 12 additions of surahs and verses that contributed to be added to the sub themes in accordance with the results of the expert evaluation, then from the results of the expert evaluation obtained an increase in FI - Score between the evaluation with the Al - Qu r'an Amazing Cordoba with thematic experts by 6.39%.

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