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.
Peer Review - Hadith Degree Classification for Shahih Hadith Identification Web Based
Hadith Degree Classification for Shahih Hadith Identification Web Based
Turnitin - Hadith Degree Classification for Shahih Hadith Identification Web Based