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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".