Sosialisasi Perubahan Iklim Dalam Meningkatkan Produktivitas Tanaman Kopi Arabika Pada Kelompok Tani Tunas Jaya Aceh Tengah
Bibliographic record
Abstract
The Tunas Jaya Farmers Group is an association of farmers in Damar Mulyo Village, Atu Lintang District, Central Aceh Regency. All of them are members of this farmer group as Arabica coffee farmers. The problem faced is the lack of information and knowledge regarding climate change and its impact on the productivity of Arabica coffee plants which can cause failure of coffee flowering, pest explosions and increased intensity of disease attacks which have an impact on coffee harvests. The aim of this activity is to provide knowledge and information to groups of farmers regarding the matters above, in order to increase coffee productivity. With a better understanding and knowledge of this matter, farmers are expected to be able to take appropriate steps to anticipate and adapt their cultivation techniques, so that it is hoped that Arabica coffee crop production can increase significantly. Socialization using lecture and discussion methods. Evaluation of activities consists of filling out pre-test and post-test questionnaires with 3 indicator components. The results showed an increase in participants' knowledge and understanding of the 3 indicator components given after the post-test evaluation.
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 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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".