ANALISIS TINGKAT PENDAPATAN DAN KESEJAHTERAAN PETANI UBI KAYU DI KECAMATAN BUMI NABUNG KABUPATEN LAMPUNG TENGAH
Bibliographic record
Abstract
The purpose of this study is to analyze the income level and welfare of cassava farmers in Bumi Nabung Ilir Village, Bumi Nabung District, Central Lampung Regency. Considering the fact that Bumi Nabung Ilir Village has the largest land area and cassava production in Bumi Nabung district, this location was carefully selected, but there are still many farmers classified as low income, About 997 households. Income analysis and welfare analysis are used as data analysis methods. The sample used in this study included 41 individuals of her who used a targeted sampling technique which is based on farmers owning land and farming experience. As a results, according to the BPS category, the income level of cassava farmers in Bumi Nabung Ilir Village was classified as medium income with a percentage of 46.34%. The income of cassava farming on the variable cost is Rp. 7,977,561/ha/MT and the income on the total cost is Rp. 7,639,467/ha/MT. The results of the study from 41 respondents can be concluded that the level of welfare is at a moderate level of welfare, namely with a score of 84
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".