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Cited by 15Islamic Thought and Society StudiesQur’anic Interpretation StudiesEducation and Islamic Studies

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Studi Kritik Matan Hadis (Naqd al-Matn): Kajian Sejarah dan Metodologi

Kusnandar, Engkus·2020·Jurnal Studi Hadis Nusantara

Abstract

Tulisan ini mendiskusikan tentang metode kritik matan hadis yang ditempuh ulama hadis untuk menilai kualitas suatu hadis. Artikel ini akan mendiskripsikan secara analitis dan mengeksplorasi secara kritis metodologi kritik matan hadis (Naqd al-Matn). Penulis akan mengkaji urgensi kritik matan dan kitab-kitab kritik matan hadis. Selain itu, tulisan ini juga akan mendiskusikan sejarah kritik matan dan kriteria atau metode kritik matan hadis (naqd al-matn) beserta contoh-contohnya. Signifikansi kajian ini adalah untuk menunjukan bahwa kriteria kritik matan hadis telah lahir sejak awal pada masa sahabat Nabi SAW berbarengan dengan kritik sanad hadis. Namun pada perkembangannya, para ulama hadis lebih dominan meneliti kritik sanad hadis ketimbang kritik matan hadis. Kata Kunci: Naqd al-Matn, Metodologi Naqd al-Matn, Salahuddin Ibn Ahmad al-Adhabi, Kritik Eksternal (al-Naqd al-Khariji), kritik Internal (al-Naqd al-Dakhli)

Overview

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Crossref · 10.24235/jshn.v2i1.6765

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Metadata

Authors
Kusnandar, E.
Corresponding author
Kusnandar, Engkus
Venue
Jurnal Studi Hadis Nusantara
Published
2020-06-30
Volume
2
Issue
1
ISSN
2721-219X (ISSN-L)
OpenAlex
W3042003091
Cited by
6
References
0
Citations by year
2024: 2 · 2023: 4
FWCI
8.78
Type
journal article
Language
id
Open access
closed
Locations
Jurnal Studi Hadis Nusantara (publishedVersion)
Topics
  • Social Sciences › Arts and Humanities › Religious studies › Islamic Thought and Society Studies
  • Social Sciences › Arts and Humanities › Religious studies › Qur’anic Interpretation Studies
  • Social Sciences › Education › Education and Islamic Studies
Keywords
hadith criticism methodology, hadith criticism

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.