Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui Pengaruh Penggunaan Pupuk Kandang Terhadap Pertumbuhan Tanaman Bayam (Amaranthus tricolor L) di Desa Hilisondrekha Kecamatan Telukdalam Kabupaten Nias Selatan”. Jenis pengabdian ini adalah menggunakan penelitian kuantitatif dengan metode eksperimen murni (true eksperimen). yang menjadi populasi dalam pengabdian ini adalah tanaman bayam yang terdiri 60 polibag, sedangkan yang menjadi sampelnya adalah tanaman bayam itu sendiri yang terdiri dari 30 polibag. Hasil pengabdian menunjukkan bahwa tinggi batang tanaman bayam diperoleh nilai Fhitung = 43.399 > Ftabel = 2.98, dan signifikan 0,21>0,05; jumlah helaian daun tanaman bayam diperoleh nilai Fhitung = 83.203 > Ftabel = 2.98 dan signifikan 0,390 > 0,05; dan diameter batang tanaman bayam diperoleh nilai Fhitung = 18.592 > Ftabel = 2.98 dan signifikan 0,261 > 0,05. Maka dapat disimpulkan bahwa ada pengaruh penggunaan pupuk kandang terhadap pertumbuhan tinggi, diameter dan jumlah daun tanaman bayam.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".