PERENCANAAN MANAJEMEN RANTAI PASOK DAUN MURBEI JENIS MORRUS ALBA L. UNTUK PRODUKSI TEH HERBAL
Bibliographic record
Abstract
PKK RT II RW VI Kelurahan Tlogomas Kota Malang adalah wilayah yang memiliki ikonik yaitu sebagai daerah dengan tanaman murbei terbanyak, dimana setiap rumah yang ada di wilayah ini memiliki minimal 2 batang tanaman murbei jenis Morrus Alba L. Selama ini anggota PKK Rdaun murbei kareT II RW VI Kelurahan Merjosari Malang berupaya menghasilkan produk yang berbahan dasar murbei, baik buah maupun daun dan batang/rating. Salah satu produk yang diharapkan menjadi andalan adalah teh herbal yang berasal dari daun murbei karena kandungan yang ada di daun murbei sangat baik bagi kesehatan manusia. Kendala utama yang muncul saat diaplikasikan manajemen rantai pasok (SCM) adalah pasokan bahan baku yang biasanya diperoleh dari warganya, dengan proses produksi dijemur dan disangrai, mengakibatkan bahan baku sedikit menjadi menyusut sebesar 60%. Pasokan bahan baku perlu ditingkatkan melalui pembenahan lahan serta bibit tanaman murbei. Apabila bahan baku tersedia melimpah, maka pemasaran akan terbuka lebar bagi produk teh herbal daun murbei.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".