Rozi, Nanang Fakhrur and Kusumaningtyas, Entin Martiana and Mubtada'i, Nur Rosyid (2011) Identifikasi Jenis Hadits Menggunakan Beberapa Kombinasi Metode Learning. EEPIS Final Project.
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Abstract
Hadith is one of the sources of Islamic law that adequate attention. However, many false hadith found that circulated widely in the community, giving rise to various problems which sometimes until culminating in the emergence of understandings that is not compliant with Islamic Shari'a. Research is usually done manually by experts in the field of hadith science which is also usually taught in boarding school or college Islamic. Therefore, this study will try to automate the process of checking the validity of the hadith is by using machine learning methods based on rules that exist in the science of hadith, which in turn can produce a system that can be used as initial reference in examining the hadith before finally signed on processes that further research and profound.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mrs fariny masna |
| Date Deposited: | 15 Apr 2011 21:36 |
| Last Modified: | 15 Apr 2011 21:36 |
| URI: | http://repo.pens.ac.id/id/eprint/603 |
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