ANALISIS TINGKAT PENDAPATAN DAN KESEJAHTERAAN PETANI UBI KAYU DI KECAMATAN BUMI NABUNG KABUPATEN LAMPUNG TENGAH
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it