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Record W2987897006 · doi:10.31258/unricsce.1.121-125

Pemberdayaan masyarakat melalui alih teknologi pembuatan makanan tambahan berbahan baku konsentrat protein ikan di Pulau Cawan Indragiri Hilir

2019· article· id· W2987897006 on OpenAlexaff
Bintal Amin, Dewita Dewita, Dessy Yoswaty, Irvina Nurrachmi

Bibliographic record

VenueUnri Conference Series Community Engagement · 2019
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicFood and Agricultural Sciences
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Kegiatan pengabdian kepada masyarakat Desa Pulau Cawan Kabupaten Indragiri Hilir yang dilaksanakan berupa penyuluhan dan pelatihan secara umum bertujuan agar masyarakat, (terutama kader Pemberdayaan Kesejahteraan Keluarga atau PKK), mendapat keterampilan dalam pengolahan pangan ikani dan membuka usaha mandiri. Pemanfaatan dan pengembangan Pulau Cawan sebagai kawasan ekowisata perlu diikuti dengan kegiatan yang dapat memberikan peningkatan kesejahteraan masyarakat sekitarnya. Dengan terbukanya lapangan kerja baru tersebut maka pada akhirnya diharapkan dapat meningkatkan kesejahteraan keluarga. Melalui kegiatan penyuluhan dan pelatihan ini diharapkan juga agar pada saat produksi ikan melimpah atau harga ikan sedang jatuh, dapat diselamatkan dengan cara mengolahnya menjadi berbagai produk olahan berbahan ikan khususnya produk jajanan snack dan cookies yang bernilai ekonomi dan bergizi tinggi. Kegiatan yang pelaksanaannya dilakukan dengan kerjasama mahasiswa peserta Kuliah Kerja Nyata mendapatkan sambutan yang baik dari masyarakat desa, terutama kader PKK, Kepala Desa dan juga dari Kepala Dinas Kelautan dan Perikanan Kabupaten Indragiri Hilir. Dengan bantuan peralatan yang diberikan untuk memproduksi tiga jenis makanan yang diajarkan dalam pelatihan maka peserta kegiatan akan dapat memberdayakan kelompoknya untuk membuka usaha dalam membuat produk makanan berbasis ikan tersebut. Kepala Dinas Kelautan dan Perikanan bahkan berjanji akan memberikan bantuan lebih luas bagi pengembangan produksi yang dihasilkan tersebut, termasuk membantu sarana dan prasarana pemasarannya di wilayah Kabupaten Indragiri Hilir.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.005

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.

Opus teacher head0.058
GPT teacher head0.236
Teacher spread0.178 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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