PENINGKATAN KESOLIHAN BERAGAMA MELALUI PROGRAM PESANTREN KILAT DI KAMPUNG PERLAK KECAMATAN TRIPE JAYA
Bibliographic record
Abstract
KKN (Kuliah Kerja Nyata) merupakan salah satu bentuk pengabdian mahasiswa kepada masyarakat. Melalui KKN mahasiswa dapat memberikan bimbingan, arahan dan pelatihan kepada masyarakat terutama masyarakat kampung perlak kecamatan tripe jaya kabupaten gayo lues. Kondisi kampung perlak sangat baik walaupun kampung perlak merupakan kampung terakhir di kecamata tripe jaya. Namun demikian, suasana kampung perlak sangat membuat mahasiswa KKN kagum terhadap kesolihan beragama di kampung tersebut. Kampung Perlak juga memiliki empat tempat pengajian diantaranya dua pesantren dan dua TPA balai pengajian. Namun, setelah melakukan observasi didapati sejumlah anak-anak yang belum hafal doa sehari-hari sehingga mereka belum mampu untuk mengaplikasikannya dalam keseharian mereka. Pada kesempatan ini mahasiswa berinisiasi untuk menggagas program pesantren kilat yang bertujuan membantu para peserta didik tersebut agar mampu menguasai doa sehari-hari dan mengaplikasikannya dalam kehidupan sehari-hari. Pada program kesolihan beragama ini mahasiswa menggunakan metode pendekatan Community Based Research (CBR) yang mana pada metode ini mahasiswa melakukan pendekatan kepada masyarakat kampung perlak dan melakukan tahapan seperti observasi dan wawancara.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.075 | 0.015 |
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".