Pemberdayaan Ekonomi Masyarakat Pesisir Pantai Sadeng Gunungkidul melalui Pengolahan Ikan Tuna
Bibliographic record
Abstract
The coast of Sadeng Beach is a large potential for marine and fishery resources, which is, one of the potentials is tuna fish commodities. However, the utilization of these resources is still not optimal. The limited use of technology has hampered the processing and marketing of the products, resulting in a decrease in the economic value of tuna products. This Program Kemitraan Masyarakat (PKM) activity aims to boost community development by empowering the processing of marine fish products. So that, they become products that are worth selling higher. Empowerment carried out includes the provision of materials, equipment, and training in the manufacture of processed tuna products aimed at self-reliance and community self-reliance. The training covers how to process tuna raw materials from start to finish which includes raw material preparation, storage, additional seasoning, packaging, and distribution. The activity was carried out in Pucung Village, Girisubo District, Gunungkidul Regency by involving members of the Usaha Peningkatan Pendapatan Keluarga Sejahtera (UPPKS) Harapan. The method used in this activity is the Participatory Rural Appraisal (PRA) method which involves active community participation and empowerment. Activities include providing materials and practices for processing tuna fish into tuna cracker products, tuna nuggets, and tuna tofu. The program impacts increasing knowledge and skills of tuna fish processing for empowering partners. Through this activity, the women of the UPPKS Harapan group can contribute economically to the household. The training activities were held on June 11 2022 for the assistance stage for the introduction of tuna processing materials, June 12-October 2022 for product marketing assistance, November 2 2022 assistance for creating social media content until the final evaluation stage is ongoing.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".