Profitability and Value Addition in Cassava Processing in Buton District of Southeast Sulawesi Province, Indonesia
Bibliographic record
Abstract
This study was carried out to examine profitability of and value addition from cassava processing into kaopi based on the type of graters being used. A two-stage random sampling technique was employed to obtain primary data from 53 respondents selected for this study. Data were analyzed using cost and return analysis, R/C ratio, Break Even Point, and production structure. The study revealed that cassava processing into kaopi is profitable and a significant value adding process, but the level of profitability and value addition is higher for processors using mechanized grater than those using manual one because the former can reduce processing costs, process higher volume of raw materials, and produce more output with greater efficiency. In view of its potential for attainment of food security, and income and employment generation, it is recommended that processors who currently use manual grater shift to mechanized grater since the time and money saved can be put into other economic use and family welfare.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".