TY  - JOUR
T1  - Clustering the Verses of the Holy Qur’an Using K-Means Algorithm
AU - Slamet, Cepy AU - Darmalaksana, Wahyudin AU - Ramdhani, Muhammad Ali AU - Rahman, Ali 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 24
SP  - 5159
EP  - 5162
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.5159.5162
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.5159.5162
KW  - K-means algorithm
KW  -clustering
KW  -text mining
KW  -data mining
KW  -The Holy Qur`an
AB  - The Holy Qur’an is a basic living guidance for Muslims. The depth of the sea of knowledge in the Holy Qur’an gives its own attractiveness to many researcher to conduct exploration involving automated application. This study provides a practical works of text mining applied as an initial route which begin with some Qur’anic structures phenomenon by clustering the verses. K-means algorithm has been applied to clustering experiment in a framework of text mining. This study resulted the total of 6236 verses (data corpus), using unsteamed and steamed words which then establish three clusters.
ER  -