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Record W4381252054 · doi:10.35906/resona.v7i1.1360

PENINGKATAN KAPASITAS MUBALLIGH DALAM PENGAJARAN MAKNA AL-QUR’AN

2023· article· id· W4381252054 on OpenAlexaff
Fahmi Irfanudin, Cahyo Setiadi Ramadhan, Fathurrahman Kamal

Bibliographic record

VenueRESONA Jurnal Ilmiah Pengabdian Masyarakat · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesMeaning (existential)PhilosophyArtEpistemology

Abstract

fetched live from OpenAlex

Al-Quran merupakan sekumpulan firman Allah yang turun kepada Nabi Muhammad Shallallahu ‘alaihi wa sallam. Al-Qur'an juga diyakini sebagai pengajaran ataupun petunjuk bagi setiap manusia khususnya umat muslim, yaitu yang membacanya ataupun yang memahami maknanya. Kondisi tersebut menjadikan setiap umat muslim perlu bisa memahami makna dari ayat-ayat al-Qur’an. Namun faktanya masih banyak umat Islam yang kurang memahami isi al-Qur'an. Kondisi tersebut dapat terjadi dikarenakan beberapa faktor. Salah satunya karena kurangnya pengajar yang mampu mengajarkan makna al-Qur'an secara ringkas dan baik. Salah satu metode yang ringkas dalam pengajaran makna al-Qur’an yaitu metode TablighQu. Para muballigh perlu diajarkan metode tersebut sehingga mereka dapat mengajarkan makna al-Qur'an dengan lebih optimal kepada masyarakat. Program ini memfasilitasi pelatihan pengajaran metode tersebut bagi para muballigh Muhammadiyah di wilayah Daerah Istimewa Yogyakarta. Setelah dilaksanakan kegiatan, para muballigh menilai positif kegiatan pelatihan yang dilaksanakan, baik dari sisi metode, penjelasan pemateri, dan juga fasilitas pelatihan. Mayoritas memahami materi yang disampaikan dan berkomitmen untuk mengajarkannya pada masyarakat. Dapat disimpulkan bahwa kegiatan yang dilaksanakan berhasil dan bermanfaat. Abstract. Al-Quran is a collection of God's words that came down to the Prophet Muhammad sallallaahu 'alaihi wa sallam. Al-Qur'an is also believed to be teaching or guidance for every human being, especially Muslims, namely those who read it or who understand its meaning. These conditions make every Muslim need to be able to understand the meaning of the verses of the Koran. But in fact there are still many Muslims who do not understand the contents of the Qur'an. This condition can occur due to several factors. One of them is due to the lack of teachers who are able to teach the meaning of the Qur'an in a concise and good manner. One of the concise methods in teaching the meaning of the Qur'an is the TablighQu method. The preachers need to be taught this method so that they can teach the meaning of the Qur'an more optimally to the public. This program facilitates training in teaching this method for Muhammadiyah preachers in the Special Region of Yogyakarta. After the activities were carried out, the preachers positively assessed the training activities carried out, both in terms of methods, explanations from the speakers, and also training facilities. The majority understand the material presented and are committed to teaching it to the public. It can be concluded that the activities carried out were successful and useful.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.136
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0090.005
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1360.047

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.342
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2023
Admission routes1
Has abstractyes

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