PEMANFAATAN PERALATAN PENGOLAHAN IKAN BERBENTUK MESIN UNTUK PENINGKATAN KAPASITAS PRODUKSI PADA KELOMPOK PENGOLAH DAN PEMASAR IKAN DI KAWASAN KONSERVASI PERAIRAN TWP GILI MATRA
Bibliographic record
Abstract
The fish processing and marketing group (poklahsar) in the Gili Matra Marine Protected Area has received intervention from the central government through Bappenas in the COREMAP-CTI III program. This intervention involves improving human resource capacity and providing grants for fish processing equipment. However, the limited duration of the program has resulted in suboptimal assistance in utilizing the donated fish processing equipment. Therefore, the involvement of universities in assisting the community is deemed necessary. This assistance activity aims to inform and educate the poklahsar about the use of fish processing equipment, particularly machines, to enhance production capacity in the Gili Matra Marine Protected Area. The assistance activities were carried out in July 2023 at the respective production locations of each poklahsar. The educational method for adults in this assistance activity involves lectures and hands-on practical training. The outcome of this assistance activity is an increased understanding and knowledge among poklahsar in the Gili Matra Marine Protected Area regarding the functions and uses of various machine-based fish processing equipment. Additionally, it was identified that some obstacles hinder optimizing machine-based equipment utilization, including a lack of understanding in using such equipment and limited market demand for processed fish products. In conclusion, the poklahsar have diverse views on using machine-based equipment, enabling them to optimize the use of such equipment despite the limited demand for processed fish products.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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".