ANALISIS KERAGAMAN DAN KOMPOSISI GULMA PADA TANAMAN PADI SAWAH
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui keragaman dan komposisi gulma sawah di Subak Tegal Kelurahan Paket Agung. Jenis penelitian yang digunakan adalah jenis penelitian deskriptif dan eksploratif. Populasi dalam penelitian ini adalah semua spesies gulma yang hidup pada sawah padi yang berada di wilayah Subak Tegal. Sampel dalam penelitian ini adalah semua spesies gulma yang tercakup oleh kuadrat dengan ukuran 1 x 1 meter sebanyak 25 kuadrat yang diambil di wilayah Subak Tegal dari minggu 1 hingga minggu 3 setelah bibit padi ditanam. Metode yang digunakan dalam pengambilan data penelitian ini adalah metode kuadrat. Data komposisi gulma dianalisis secara deskriptif sedangkan indeks keanekaragaman dianalisis dengan indeks Shannon-Wiener. Hasil penelitian ini menunjukkan bahwa terdapat 27 spesies gulma yang tergolong ke dalam 13 familia dengan indeks keanekaragaman spesies gulma sebesar 1,0558 atau terkategori keanekaragaman sedang.Kata kunci: keragaman, komposisi, gulma, padi sawah
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".