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Record W3112466138 · doi:10.37695/pkmcsr.v3i0.865

Pengembangan Usaha Kecil Makanan pada Komunitas Perempuan di Kecamatan Tanjung Morawa Kota Deli Serdang

2020· article· id· W3112466138 on OpenAlexaff
Ritha F. Dalimunthe, Arlina Nurbaity Lubis

Bibliographic record

VenueProsiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesBaruPhysicsArtGeographyArchaeology

Abstract

fetched live from OpenAlex

Komunitas perempuan UMKM Tanjung Morawa yang beranggotakan umumnya Ibu Rumah Tangga siap mengembangkan usaha berbasis usaha kecil makanan. Pelaksanaan kegiatan pengabdian pada komunitas tersebut berupaya memaksimalkan potensi komunitas melalui pemberdayaan dengan memberikan ipteks berwirausaha di komunitas tersebut. Serangkaian kegiatan pelatihan, pendampingan, serta sosialisasi dilakukan kepada mitra pengabdian dengan tujuan terciptanya kewirausahaan baru dengan memanfaatkan bisnis online serta bahan baku alami dan sehat. Bisnis model kanvas diperkenalkan kepada komunitas untuk meningkatkan daya saing berbasis ekonomi keluarga. Pada kegiatan pengabdian ini, ibu-ibu rumah tangga yang tergabung dalam komunitas dikembangkan menjadi women entrepreneur berkelompok dengan jumlah 23 pelaku usaha di wilayah Tanjung Morawa, Kabupaten Deli Serdang, Sumatera Utara. Fokus pengembangan komunitas berbasis makan olahan dengan bahan baku juga memanfaatkan ketersediaan lahan yang non-produktif. Pemberdayaan komunitas ini menargetkan peningkatan jumlah wirausaha baru dalam kalangan komunitas yang akan membantu ekonomi keluarga sekaligus membuka lapangan kerja baru. Kegiatan pengabdian ini menargetkan pembentukan lima wirausaha baru yang akan didampingi secara khusus untuk pengembangan bisnis model kanvas.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0910.025

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 head0.113
GPT teacher head0.294
Teacher spread0.182 · 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 designQualitative
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

Citations6
Published2020
Admission routes1
Has abstractyes

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