Sanad is one of important part used to determine the authentication of hadith. However, very little research work has been found on classification of Malay translated Hadith based on sanad. There are some researches done using machine learning approach on hadith classification based on sanad but using different objective with different language. This research is to see how Machine Learning techniques are used to classify Malay translated Hadith document based on sanad. In this paper, SVM, NB and k-NN are used to identify and evaluate the performance of Malay translated hadith based on sanad. The performances are evaluated based on standard performance metrics used in text classification which is accuracy and response time. The results show that SVM has the highest accuracy and k-NN has the best response time (time taken in process for classification data) compare to other classifier. In future, we plan to extend this paper with the analysis on interclass similarity and also test on larger dataset. � 2017 The Authors.

Text representation plays an important role in text classification. Commonly, text representation uses the term frequency technique. Hadith texts consist of two parts; they are the chain of narrators and the content. The term frequency technique is usually used for the content text representation. This research explains the text representation for chain of narrators in hadith texts. The chain of narrators was depicted using graph technique as text representation. A total of 18 hadith texts were used in representing chain of narrators as text representation. The narrator's name and relationships between narrators extracted from hadith texts which produced 82 narrator names and 85 connections between narrators. The 82 names were used as nodes, while the 85 connections as the relationships. The text representation graph subsequently used in the hadith text classification research based on chain of narrators. � 2016 IEEE.

Istihalah is the main issue amongst Muslim scholars regarding food and beverage in this age of biotechnology by which the original form of good food production can be changed. A discussion of istihalah is not only limited to issues related to foods and beverage, but also involves issues regarding cleanliness or taharah in Islam. Currently, the main issue related to food and beverage industry is the mixing of halal with haram substances. The objective of this study is to determine whether the istihalah process can be categorized as istihalah sahihah (complete transformation) or istihalah fasidah (imperfect transformation), through physico-chemical changes and properties such as the nature, taste, smell, colour of foods that have undergone the istihalah process. Views of fiqh scholars were taken and examined to unravel these issues. This is a qualitative study using the methods of applying evidence from the al-Qur'an and Hadith and also scholars' opinions from credible sources such as fiqh books, food science books, websites and other related resources. The study concludes that the istihalah process is allowed in Islam only if it is istihalah sahihah. However, it is not easy to determine the halal or haram status of food produced using the biotechnology process. A detailed and careful study is needed to determine halal status taking into account several elements. � IAEME Publication.