Aplikasi bio P60 dan bio T10 serta macam media tumbuh terhadap pertumbuhan tanaman melon
Bibliographic record
Abstract
Penggunaan media tumbuh dan hormon pertumbuhan tepat menentukan pertumbuhan tanaman melon. Penelitian bertujuan untuk mengetahui pengaruh kombinasi larutan Bio P60 + Bio T10 pada media tumbuh tertentu yang dapat mencapai pertumbuhan optimal. Penelitian dilaksanakan menggunakan rancangan Split Plot 3 x 3 diulang sebanyak 4 kali. Petak utama yaitu media tumbuh dengan 3 taraf: tanah + Sekam bakar, tanah + Cocopeat dan tanah + Bokhasi sedangkan anak petak yaitu kombinasi Bio P60 + Bio T10 dengan 3 taraf: tanpa larutan Bio P60 + Bio T10, larutan Bio P60 + Bio T10 200 ml.tanaman-1 .2 minggu-1 serta larutan Bio P60 + Bio T10 300 ml.tanaman-1 .2 minggu-1. Parameter diamati yaitu tinggi tanaman, jumlah daun, luas daun, diameter batang, umur berbunga dan kadar klorofil. Hasil penelitian menunjukkan media tumbuh kombinasi tanah dan bokhasi mampu meningkatkan pertumbuhan; tinggi tanaman (197,19 cm) dengan laju pertumbuhan 6,28 cm, jumlah daun (27,97 helai) dengan laju pertumbuhan 0,84 helai, umur berbunga (23,67 hari), klorofil a (0,81 mg.g-1), klorofil b (0,86 mg.g-1) dan klorofil total (1,67 mg.g-1). Volume dosis kombinasi Bio P60 + Bio T10 dengan tanpa larutan Bio P60 + Bio T10, larutan Bio P60 + Bio T10 200 ml.tanaman-1 .2 minggu-1 serta larutan Bio P60 + Bio T10 300 ml.tanaman-1 .2 minggu-1 pada semua media memiliki pengaruh yang sama.
 
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 teacher head, 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".