Efektivitas Metode Muraja`ah Dalam Kegiatan Tahfîdz Al-Qur`an di Pondok Pesantren Al-Muttaqiin Taki Niode Kota Gorontalo
Bibliographic record
Abstract
Tujuan penelitian ini yaitu menemukan efektivitas metode muraja`âh dalam kegiatan tahfîdz al-Qur`ân di Pondok Pesantren al-Muttaqiin Taki Niode Kota Gorontalo. Pendekatan penelitian yaitu fenomenologi dengan objek penelitian dalam suatu konteks naturalnya dan apa adanya. Jenis penelitian adalah deskriptif kualitatif. Hasil penelitian yaitu: penerapan metode muraja`âh dalam kegiatan tahfîdz al-Qur`ân di Pondok Pesantren al-Muttaqiin Taki Niode Kota Gorontalo langkah-langkahnya adalah: persiapan, pelaksanaan dan evaluasi dengan cara tasmi`. Efektivitas metode muraja`âh dalam kegiatan tahfîdz al-Qur`ân di Pondok Pesantren al-Muttaqiin Taki Niode Kota Gorontalo dilihat dari dua aspek yaitu efektivitas proses dan hasil. Efektivitas proses tampak dari kemudahan belajar baik dilakukan secara individu yakni mudah konsentrasi karena tidak terpengaruh temannya dan secara kelompok santri terlihat bergantian saling mengulang, santri muraja`âh dan santri lain menyimak. Efektivitas hasil terlihat dalam satu tahun santri sudah mencapai target 10 juz hafalan al-Qur`ân setelah diterapkan metode muraja`âh dalam kegiatan tahfidz al-Qur`ân sehingga 3 tahun mencapai hafalan 30 juz. Kendati demikian masih terdapat perbedaan kemampuan hafalan al-Qur`an santri dalam kegiatan tahfidz al-Qur`an.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".