Pengembangan Agroindustri Pengolahan Hasil Pertanian Kelompok Wanitatani di Kecamatan Kediri Kabupaten Lombok Barat
Bibliographic record
Abstract
The income of farm households that rely on the cultivation subsystem has so far been relatively low, so it is necessary to look for additional income such as processing agricultural products such as chilies and tomatoes which are easily damaged. Montong Are Village, Kediri District, has the potential to produce chilies and tomatoes, which when the main harvest prices fall, so it requires yield processing technology that can be obtained from training activities which are part of community service activities. The objectives of this activity are to: (1) increase the knowledge, skills and attitudes of women farming in agricultural product processing activities through training, (2) increase the quantity and quality of processed agricultural products, and (3) produce scientific publications. The target group is a member of a women's group of 30 people from 3 groups in Montong Are Village, Kediri District. The method used in community service activities is participatory based training where women farmers will be actively involved in every activity. Implementation of activities includes: outreach, Focus Group Discussion (FGD), training, and practice of processing agricultural products. The results of the training showed that there was an increase in knowledge for training with chili processing material by 50.45% and for training with tomato processing material there was an increase of 52.25%. In general, there was an increase in the volume of processed chili (sambal clove) and tomato sauce production, although it was not significant because at the time of activity, the production of chili and tomatoes was not much and the price was still high enough that it was not urgent to process them into processed chili/sambal and tomato sauce products. Later, if production is abundant and prices fall, processing of agricultural products, especially chilies and tomatoes, can be carried out.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".