Authors : Ruziana Mohamad Rasli, Mime Azrina Jaafar, Faudziah Ahmad and Siti Sakira Kamaruddin
Abstract: The purpose of this study is to explain on the process of data selection and collection for Quranic knowledge. The data used in this research is from the Holy Al-Quran and Hadiths. Basically, there are five sources used which is the Holy Al-Quran, Hadith Sahih Bukhari, Hadith Sahih Muslim, Hadith Sunan Abu Dawud and Hadith Sunan Ibn Majah. In order to minimize the resources, only Zakat topics is extracted. From all the data collection and selection processes, it is concluded that the total of 339 sentences are extracted from 72 Surah in the Holy Al-Quran and a total of 589 sentences are extracted from four Hadiths (Hadith Sahih Bukhari, Hadith Sahih Muslim, Hadith Sunan Abu Dawud and Hadith Sunan Ibn Majah). The total of sentences extracted from these two sources are 928 sentences. These two processes took 8 month to be completed. Most of the times are allocated in the process of proof reading the documents after OCR conversion. The output of this paper is 928 sentences from the Al-Quran and Hadiths that are focuses to Zakat topic. These ayats will be used for the next phase which is data processing and TF-IDF calculation.
Ruziana Mohamad Rasli, Mime Azrina Jaafar, Faudziah Ahmad and Siti Sakira Kamaruddin, 2016. Data Selection and Collection for Printed Quranic Documents. Journal of Engineering and Applied Sciences, 11: 2809-2814.