Marketing And Business Of "Plastic Flowers" In Kurulu District, Jayawijaya Regency
Bibliographic record
Abstract
Jayawijaya Regency is one of the regencies in the province of Papua which has the potential to develop ornamental plants, one of which is "Plastic Flowers". Many local and foreign tourists buy this flower as a souvenir. The aims of this study are: 1) To obtain information and the potential for the development of the "Plastic Flower" agribusiness in Jayawijaya Regency; 2) To find out the income of the "Plastic Flower" farming business in Jayawijaya Regency. The research was conducted in Kurulu District. The time of the research is from June to August 2022. The determination of the research location is purposive. The data collected in this study are in the form of Focus Group Discussion (FGD) and survey methods by conducting interviews, distributing questionnaires, and collecting secondary data (documents) from farmers, business actors, and other stakeholders at the "Bunga Plastik" agribusiness center in Kurulu District. Jayawijaya Regency. Based on the study results, it can be concluded: 1) Information and potential for developing "Plastic Flowers" during the planting season from June to August 2022 is 417 bunches. With a price of Rp. 25,000, revenue of Rp. 10,425,000 is obtained with a production cost of Rp. 3,207,600. Then an income of Rp. 7,217,400 is obtained. "Plastic Flower" has the potential to be developed; 2) R/C ratio analysis which states that the contribution of the total costs incurred to total revenue is 7,91. It means that "Plastic Flower" farming in Kurulu District, Jayawijaya Regency is profitable for farmers.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.007 | 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".