IDENTIFIKASI MATAN HADITS MENGGUNAKAN NATURAL LANGUAGE PROCESSING DAN ALGORITMA KNUTH MORRIS PRATT BERBASIS WEB

Authors

  • Aris Munandar TI FST UIN JKT
  • Victor Amrizal TI FST UIN JKT
  • A - Arini TI FST UIN JKT

DOI:

https://doi.org/10.24014/coreit.v5i2.8477

Abstract

Proses penentuan kesahihan hadits adalah proses yang memerlukan masa yang panjang, karena proses tersebut dilakukan secara manual. Penyidik hadits perlu merujuk dari satu kitab ke kitab lain. Oleh karena itu, untuk memudahkan pencarian hadits dibutuhkan sistem identifikasi hadits. Penelitian ini menggunakan metode natural language processing melalui tahap tokenizing, filtering, dan analisis serta algoritma knuth morris pratt. Menggunakan natural language processing sistem mampu memahami teks hadits yang dimasukan oleh setiap pengguna. Dengan menggunakan algoritma knuth morris pratt, dapat memberikan kemudahan dalam pencarian teks matan hadits yang memiliki kemiripan. Sehingga sistem mampu menghasilkan hadits yang sesuai dengan harapan dan dapat mengetahui kevalidasian hadits tersebut.

References

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“Natural Language Processing” http://socs.binus.ac.id/2013/06/22/

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Nursyahidah, Alias. 2016. Aplikasi Pencarian Sanad Hadits dalam Kitab Shohih Bukhori. Malaysia.

Rio, Alamanda. 2016. Aplikasi Pendeteksi Plagiat Pada Karya Tulis dengan Menggunakan Natural Language Processing. Pontianak.

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Published

2019-12-16

Issue

Vol. 5 No. 2 (2019): Desember 2019

Section

Articles

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