Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review

Hadith is the second source of reference for Islamic law after the Qur'an, which explains the sentences in the Qur'an which are still global by referring to the provisions of the Prophet Muhammad SAW. Classification of text documents can also be used to overcome the problem of interrelatio...

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Autores principales:	Amelia Devi Putri Ariyanto, Chastine fatichah, Agus Zainal Arifin
Formato:	article
Lenguaje:	ID
Publicado:	Ikatan Ahli Indormatika Indonesia 2021
Materias:	hadith, interrelation, text document classification, text representation Systems engineering TA168 Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/fef4220a9aaa482abc8ee87398debded
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spelling	oai:doaj.org-article:fef4220a9aaa482abc8ee87398debded2021-11-16T13:16:11ZAnalisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review2580-076010.29207/resti.v5i5.3499https://doaj.org/article/fef4220a9aaa482abc8ee87398debded2021-10-01T00:00:00Zhttp://jurnal.iaii.or.id/index.php/RESTI/article/view/3499https://doaj.org/toc/2580-0760Hadith is the second source of reference for Islamic law after the Qur'an, which explains the sentences in the Qur'an which are still global by referring to the provisions of the Prophet Muhammad SAW. Classification of text documents can also be used to overcome the problem of interrelation between the Qur'an and hadith. The problem of interrelation between books of hadith needs to be done because some hadiths in certain hadith books have the same meaning as other hadith books. This study aims to analyze the development of text representation and classification methods suitable to overcome similarity meaning problems in detecting interrelationships between hadith books. The research method used is Systematic Literature Review (SLR) sourced from Google Scholar, Science Direct, and IEEE. There are 42 pieces of literature that have been studied successfully. The results showed that contextual embedding as the newest text representation method considered word context and sentence meaning better than static embedding. As a classification method, the ensemble method has better performance in classifying text documents than using only a single classifier model. Thus, future research can consider using a combination of contextual embedding and ensemble methods to detect interrelationships between books of hadith.Amelia Devi Putri AriyantoChastine fatichahAgus Zainal ArifinIkatan Ahli Indormatika Indonesiaarticlehadith, interrelation, text document classification, text representationSystems engineeringTA168Information technologyT58.5-58.64IDJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 5, Iss 5, Pp 992-1000 (2021)
institution	DOAJ
collection	DOAJ
language	ID
topic	hadith, interrelation, text document classification, text representation Systems engineering TA168 Information technology T58.5-58.64
spellingShingle	hadith, interrelation, text document classification, text representation Systems engineering TA168 Information technology T58.5-58.64 Amelia Devi Putri Ariyanto Chastine fatichah Agus Zainal Arifin Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review
description	Hadith is the second source of reference for Islamic law after the Qur'an, which explains the sentences in the Qur'an which are still global by referring to the provisions of the Prophet Muhammad SAW. Classification of text documents can also be used to overcome the problem of interrelation between the Qur'an and hadith. The problem of interrelation between books of hadith needs to be done because some hadiths in certain hadith books have the same meaning as other hadith books. This study aims to analyze the development of text representation and classification methods suitable to overcome similarity meaning problems in detecting interrelationships between hadith books. The research method used is Systematic Literature Review (SLR) sourced from Google Scholar, Science Direct, and IEEE. There are 42 pieces of literature that have been studied successfully. The results showed that contextual embedding as the newest text representation method considered word context and sentence meaning better than static embedding. As a classification method, the ensemble method has better performance in classifying text documents than using only a single classifier model. Thus, future research can consider using a combination of contextual embedding and ensemble methods to detect interrelationships between books of hadith.
format	article
author	Amelia Devi Putri Ariyanto Chastine fatichah Agus Zainal Arifin
author_facet	Amelia Devi Putri Ariyanto Chastine fatichah Agus Zainal Arifin
author_sort	Amelia Devi Putri Ariyanto
title	Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review
title_short	Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review
title_full	Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review
title_fullStr	Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review
title_full_unstemmed	Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review
title_sort	analisis metode representasi teks untuk deteksi interelasi kitab hadis: systematic literature review
publisher	Ikatan Ahli Indormatika Indonesia
publishDate	2021
url	https://doaj.org/article/fef4220a9aaa482abc8ee87398debded
work_keys_str_mv	AT ameliadeviputriariyanto analisismetoderepresentasiteksuntukdeteksiinterelasikitabhadissystematicliteraturereview AT chastinefatichah analisismetoderepresentasiteksuntukdeteksiinterelasikitabhadissystematicliteraturereview AT aguszainalarifin analisismetoderepresentasiteksuntukdeteksiinterelasikitabhadissystematicliteraturereview
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Analisis Metode Representasi Teks Untuk Deteksi Interelasi Kitab Hadis: Systematic Literature Review

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