(Peer review + Similarity + Document) Classification of Al-Qur'an Arabic Verses Used Naive Bayes

Hidayatullah, Syarif (2022) (Peer review + Similarity + Document) Classification of Al-Qur'an Arabic Verses Used Naive Bayes. Institute of Computer Science (IOCScience), Indonesia.

	Text 2356-Article Text-7267-1-10-20220604.pdf Download (1MB)
	Text Similarity.pdf Download (1MB)
	Text Peer Review Syarif Hidayatullah.pdf Download (1MB)

Abstract

The development of information globally is very fast, it demands the provision of media information can be enjoyed and felt quickly and precisely. Al-Qur'an as a medium of information in the classical form and contains of science, life, etc. that must be distributed to all human beings orally, in writing, and daily behavior, especially in the field of Islamic laws and aspects of social procedures in Islam. This study applies a classification technique using the method Naïve Bayes which there are three classes or categories namely Sholat(Prayer), Hajj and Wedding. The grouping of these verses takes data from the book of LubaabutTafsir Min Ibn Kathir which later obtained accuracy results 75.52%.

Item Type:	Peer Review
Uncontrolled Keywords:	Al-Quran,Classification,Naïve Bayes,Text Mining
Subjects:	200 Religious > 297 Islam, Babism, Bahai Faith > 297.1 Sources of Islam > 297.122 4 Arabic Texts (Al-Quran)
Divisions:	Faculty of Engineering > Department of Informatics Engineering (S1)
Depositing User:	Syarif Hidayatullah
Date Deposited:	25 Jun 2022 01:09
Last Modified:	25 Jun 2022 01:09
URI:	http://repository.unmuhjember.ac.id/id/eprint/13921

Available Versions of this Item

• (Peer review + Similarity + Document) Classification of Al-Qur'an Arabic Verses Used Naive Bayes. (deposited 17 Jun 2022 01:54)
  • (Peer review + Similarity + Document) Classification of Al-Qur'an Arabic Verses Used Naive Bayes. (deposited 25 Jun 2022 01:09) [Currently Displayed]

Actions (login required)

View Item