Pendampingan Legalitas Halal Produk Kuliner Pelaku Usaha Di Desa Mekarmanik Kabupaten Bandung
Bibliographic record
Abstract
Berbagai macam produk kuliner kini mudah ditemukan baik secara online maupun offline. Kesadaran konsumen dalam memilih produk kuliner berlabel halal semakin tinggi, namun belum diimbangi dengan akses legalitas pelaku usaha untuk mendaftarkannya dan mendapatkan sertifikat halal bagi warga Desa Mekarmanik Kabupaten Bandung. Metode pelaksanaan kegiatan dengan menggunakan diskusi ORID, untuk memperoleh indentifikasi masalah dan pemecahan masalah yang dibutuhkan para pelaku usaha kuliner di Desa Mekarmanik. Hasil pengabdian masyarakat ini dimulai dengan pemberian pengetahuan dan pemahaman pada pelaku usaha tentang pentingnya legalitas halal pada produk kuliner yang yang dikemas dalam kegiatan seminar. Proses pendampingan pengajuan sertifikasi halal produk kuliner pelaku usaha di Desa Mekarmanik, dilakukan dengan melengkapi berbagai persayaratannya hingga diajukan secara online melalui aplikasi SIHALAL. Sertifikat halal diperoleh para pelaku usaha kuliner melalui proses pendampingan dari tim pengabdian masyarakat.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.148 | 0.054 |
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".