PENINGKATAN EKONOMI MASYARAKAT BERBASIS KELUARGA MELALUI BUDIDAYA HORTIKULTURA DI KECAMATAN TEHORU KABUPATEN MALUKU TENGAH
Bibliographic record
Abstract
Agricultural business has an important role for the national economy. In 2020, the Central Statistics Agency (BPS) released the agricultural sector's GDP as the highest contributor to national economic growth in the second quarter of 2020, which decreased by 4.19% and year on year (yoy) decreased by 5.32%. . Agricultural GDP grew by 16.24% in the second quarter of 2020, which means that the agricultural sector still contributes 2.19% to national economic growth (Dirjen Horticulture: 2021). In an effort to increase the production of various agricultural commodities in Wanasa Hamlet, Tehoru District, Central Maluku Regency, there are still quite large opportunities for the family sector. The main purpose of this volunteer activity is to provide new understanding and knowledge as well as to carry out direct practice of horticultural crop cultivation techniques and patterns that were originally known by the community conventionally but are more academically improved to the people who make up most of their livelihoods. as a farmer and hunter, to utilize vacant land and yards by cultivating Horticultural crops with the aim of meeting household consumption needs and also providing additional income for the family. Community service activities are carried out in Wanasa Village which is located in Tehoru District, Central Maluku Regency and takes place on October 15-17 2021.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".