MétaCan
Menu
Back to cohort
Record W4387621905 · doi:10.24198/midang.v1i2.44916

PENGEMBANGAN PRODUK OLAHAN HASIL PERIKANAN TERSTANDAR UNTUK MENGGALI POTENSI PRODUK UNGGULAN DI WILAYAH DESA CINTARATU, KABUPATEN PANGANDARAN

2023· article· id· W4387621905 on OpenAlexaff
Rusky Intan Pratama, I. B., Suryadi Suryadi, Aulia Andhikawati

Bibliographic record

VenueMidang · 2023
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicFood and Agricultural Sciences
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Desa Cintaratu, Kabupaten Pangandaran memiliki potensi yang masih terus dikembangkan terutama terkait sektor pertanian dan perikanan. Sebagian warga desa diidentifikasi telah memiliki usaha di bidang budidaya perikanan air tawar namun belum memiliki kelompok khusus pengolah ikan. Beberapa bahan baku yang dapat dimanfaatkan antara lain ialah: berbagai jenis ikan air tawar dan laut, udang, limbah-limbah hasil perikanan (tulang, kulit, sisik, kepala, jeroan) ataupun komoditas pertanian yang berlimpah dan tersedia di Kawasan Pangandaran seperti gula aren. Upaya yang dilakukan melalui kegiatan pengabdian pada masyarakat ini dalam rangka mengintroduksi proses pengolahan produk olahan hasil perikanan dengan menggunakan bahan baku yang tersedia secara lokal ialah dengan cara sosialisasi, diseminasi, praktik dan pendampingan mengenai cara memproduksi hasil olahan tradisional berbahan baku lokal yang sesuai dengan standar yang berlaku. Adapun produk-produk yang dipilih untuk didiseminasikan dalam kegiatan ini ialah abon ikan, dendeng lembaran, kaldu bubuk udang dan tepung tulang ikan. Rangkaian kegiatan ini dimulai sejak 20 Oktober -17 November 2022 dan dihadiri oleh khalayak sasaran yang berasal dari anggota-anggota PKK dan aparatur desa sebanyak 29 orang. Respon dan partisipasi aktif dari seluruh peserta sangat baik, hal ini dapat ditunjukkan dari antusiasme dalam melakukan praktik dan diskusi serta hasil evaluasi terhadap kegiatan ini, dimana para peserta berharap kegiatan sejenis ini kembali diadakan dalam waktu dekat. Total lima prototype produk dapat dihasilkan dari rangkaian kegiatan PPM ini.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.029
GPT teacher head0.228
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMidangSame topicFood and Agricultural SciencesFrench-language works237,207