Hadith degree classification for Shahih Hadith identification web based

摘要

Hadith is the second source of Islamic law after Qur'an and an explanation of verses of the Qur'an. Today, there are many hadiths that appear and that are doubtful of its authenticity. The number of hadits that are doubtful of its authenticity or so-called dhaif and maudhu hadith can lead to errors in the determination of Islamic law for everyday life. The classification of hadith is required to know a hadith including dhaif (weak), maudhu (fabricated) or sahih (authentic) hadith. The sahih hadith identification is made to prevent the use of weak and fabricated hadiths in everyday life. This research classified and identified hadith using expert systems and simple algorithms with several stages of making a database of hadith, hadith level classification, implementation and test. Classification of hadith level used in this study consists of 19 hadith levels and 40 characteristics of hadith in terms of matn (content) and sanad (sequence of reporters) taken from the book of Hadith Science. Training data used for the classification consist of 274 hadiths, and data testing consist of 72 hadiths. The results of identification of the data testing resulted in 56 hadiths with the degree of Authentic Hadith, and 16 hadiths with the degree of unauthentic hadith, that are maudhu and dhaif. The result gave an error value of 0.00134%, ie less than 5%, which means the proposed classification model can be relied upon to identify degree of sahih hadith. This hadith degree identification can make it easier to determine sahih, dhaif and maudhu hadith.