PEMETAAN EKSPOR DAN IMPOR KRUSTASEAYANG DIINVENTARISIR MELALUI BALAI BESAR KARANTINA IKAN,PENGENDALIAN MUTU DAN KEAMANAN HASIL PERIKANAN(BBKIPM) JAKARTA I
Bibliographic record
Abstract
Indonesia sangat potensial untuk dikembangkan pada bisnis perikanan, sehingga per- lu dilakukan pemantauan terhadap sumber daya perikanan untuk menghindari peman- faatan secara berlebihan (overfishing) khususnya pada komoditas krustasea. Peneli- tian bertujuan untuk menganalisis keanekaragaman krustasea dan memetakan perse- baran jenis krustasea pada pasar ekspor dan impor, serta menganalisis keberlanjutan ekspor krustasea di Indonesia. Penelitian dilaksanakan di BBKIPM Jakarta I pada bu- lan Januari sampai Februari 2023. Metode analisis yang digunakan analisis kuantitatif deskriptif. Hasil penelitian menunjukkan bahwa kegiatan ekspor perikanan Indonesia lebih tinggi dibandingkan dengan kegiatan impor. Ekspor komoditas krustasea ter- tinggi berdasarkan jenis dan negara tujuannya adalah sebagai berikut: lobster (Panuli- rus sp.) ke Cina, rajungan (Portunus pelagicus) ke Amerika serikat, kepiting bakau (Scylla serrata) ke Cina, dan udang mantis (Squilla mantis) ke Hongkong dan Cina. Di sisi lain, komoditas krustasea impor yang masuk ke Indonesia antara lain: kepiting salju (Chionoecetes opilio) dari Jepang dan lobster amerika (Homarus americanus) dari Kanada dan Amerika Serikat. Penangkapan ikan secara berlebihan sudah terjadi di wilayah pengelolaan perikanan Negara Republik Indonesia. Hal tersebut ditunjuk- kan dengan nilai tingkat pemanfaatan yang lebih dari 1. Kata kunci : krustasea, ekspor, impor, peta sebaran, penangkapan ikan berlebihan Indonesia has great potential for developed in the fishing business, so it is necessary to monitor fishery resources to avoid overfishing, especially in crustacean commo- dities. The research aims to analyze diversity and map the distribution of crustacean species in export and import markets, as well as to analyze the sustainability of crus- tacean exports from Indonesia. The research was conducted at BBKIPM Jakarta I on January until February 2023. The quantitative descriptive analysis method was used. The results of the study showed that Indonesia's fishery export were higher than im- port activities. The highest crustacean commodity exports by type and destination country are as follows: lobster (Panulirus sp.) to China, crab (Portunus pelagicus) to the USA, mud crab (Scylla serrata) to China, and mantis shrimp (Squilla mantis) to Hongkong and China. On the other hand, imported crustacean commodities entering Indonesia include snow crab (Chionoecetes opilio) from Japan and american lobster (Homarus americanus) from Canada and the USA. Overfishing has occurred in the fisheries management area of the Republic of Indonesia. It indicated by a utilization rate value of more than 1. Keywords : Crustaceans, exports, imports, distribution map, overfishing
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".