A Hybrid Information Retrieval for Indonesian Translation of Quran by Using Single Pass Clustering Algorithm

The holy Quran as a scripture and the source of law must be believed by more than one billion Muslim in the world. To be a good Muslim, someone must be able to understand the contents of the Quran and underlie all of their activity to the guidance that is in the Quran. However, the holy Quran is scripture that is very long document and derived in Arabic. Thus it can cause ordinary people those who do not understand Arabic find it increasingly difficult to find specific topics to learn the contents content of the Qur'an. This research aims to develop a web-based verse search system for Al-Qur'an. This paper proposed Quran information retrieval software which is integrated with clustering algorithm to ease Muslim to discover the relevant information in Quran verse by grouping the Quran verse into their own similar group. This proposed hybrid Quran information retrieval is composed of two main parts namely Quran indexing and Quran information searching.