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Record W4327859765 · doi:10.37715/consortium.v3i1.3652

PENDAMPINGAN BRANDING PRODUK MINUMAN SERJAP (SEREH JAHE PANDAN) UNTUK MENINGKATKAN EKONOMI KREATIF MASYARAKAT KAWASAN WISATA RELIGI K.H. ABDUL HAMID KOTA PASURUAN

2023· article· id· W4327859765 on OpenAlexaff
Adelia Rahma, Thusy Tiara Saraswati

Bibliographic record

VenueJournal Community Service Consortium · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsArtBusiness administrationHumanitiesAdvertisingBusiness

Abstract

fetched live from OpenAlex

Pendampingan pengembangan branding produk serjap berupa identifikasi mulai dari pack- ing kemasan dalam, packing kemasan luar, logo, pengetahuan dan sikap dalam memasuki dunia wirausaha yang mandiri. Di samping itu, peserta akan diberikan pemahaman yang meliputi pem- binaan fisik, mental, kemandirian, maupun pelatihan keterampilan. Bentuk pengabdian masyarakat ini dilakukan agar setiap pelaku UMKM dan anggota Pokdarwis dan organisasi lain sejenis di Desa Kandang Sapi Kecamatan Panggung Rejo Kota Pasuruan dapat dimanfaatkan dengan baik sehingga akan berpengaruh dalam perekonomian pelaku UMKM dan memberikan nilai lebih. Dengan target harapan memiliki motivasi, etos kerja yang tinggi, dan dapat menghasilkan karya-karya yang unggul sehingga mampu bersaing di dunia luar. Harapan dari pelatihan ini agar pelaku UMKM kawasan wisata religi dapat membentuk wirausaha mandiri dan menjadi bagian dari peningkatan ekonomi kreatif Indonesia.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.004

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 head0.074
GPT teacher head0.313
Teacher spread0.239 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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