EFEKTIVITAS TANAMAN LAMTORO VARIETAS TAHAN KUTU (Leucaena diversifolia) DAN VARIETAS GONG (Leucaena leucocephala ) TERHADAP TINGKAT SERANGAN HAMA PENGGEREK PADA BUAH KOPI ARABIKA VARIETAS RASUNA
Bibliographic record
Abstract
Pengkajian ini dilakukan di Kabupaten Dairi Provinsi Sumatera Utara pada bulan September 2022 sampai dengan Februari 2023. Penelitian ini bertujuan untuk mengkaji efektivitas penggunaan tanaman penaung tetap berjenis Lamtoro Varietas Tahan Kutu terhadap tingkat serangan hama PBKo dibandingkan jenis Varietas Gong. Penelitian ini menggunakan teknik analisis Uji Sampel Independen t-test (Uji T) untuk melihat perbedaan antara rata-rata dua kelompok sampel yang independen. Adapun data yang diambil dan diuji yaitu jumlah buah terserang hama PBKo dengan kriteria bagian tengah yang berlubang hingga menembus biji bagian dalam dan jumlah pokok tanaman kopi yang terserang hama PBKo. Hasil penelitian menunjukan bahwa Lamtoro Varietas Tahan Kutu lebih efektif digunakan untuk mencegah buah terserang hama PBKo dan jumlah pokok terserang. Lamtoro Varietas Tahan Kutu mampu menekan jumlah hama PBKo pada tanaman kopi 4,49 kali lebih tinggi dibandingkan Lamtoro Varietas Gong.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".