ANALISIS KEUNTUNGAN KERAJINAN BAMBU TUTUL DI UD BETRIS KELURAHAN MERAS KECAMATAN BUNAKEN KOTA MANADO
Bibliographic record
Abstract
The purpose of this study was to analyze the profits of souvenir key chains, miniature of large traditional houses, miniature of small traditional houses and miniature flowers at UD Betris. The data used in this study are primary data and secondary data. Primary data is data obtained by interviewing with owners of UD Betris spotted bamboo handy handycrafts in Meras Village, Bunaken District, Manado City. Secondary data was obtained from the internet through Google Scholar in the form of scientific journal articles and books related to this research topic. The profits of this business are different according to the type of handycrafts. The highest profit was obtained from the sale of large miniature traditional houses, namely Rp. 1,609,425; followed by the advantages of small traditional miniature houses of Rp. 716,480; the profit obtained from miniature interest is Rp. 179,165; while the lowest profit from the souvenir key chain is Rp. 5,898.*lrr+eprm*
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.003 | 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".