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Record W2901753712 · doi:10.26533/comvice.v2i2.166

Pelatihan dan Pendampingan Kecakapan Hidup Berbasis Desain Grafis Bagi Anak Didik Lembaga Pembinaan Khusus Anak

2018· article· id· W2901753712 on OpenAlexaff
Febrianty Febrianty, Fatmariani Fatmariani, Hendra Rotama

Bibliographic record

VenueComvice Journal of community service · 2018
Typearticle
Languageid
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Kegiatan Program Kemitraan Masyarakat (PKM) yang dilakukan penulis berupa pelatihan dan pendampingan kecakapan hidup berbasis technopreneurship bidang desain grafis bagi Anak Didik di Lembaga Pembinaan Khusus Anak (LPKA) Kelas I Palembang. Mitra Program ini adalah Bidang Pendidikan dan Keterampilan (Mitra I) dan Bidang Bimbingan Kemasyarakatan dan Pengentasan Anak (Mitra 2) di LPKA Kelas I Palembang. Kegiatan yang dilakukan oleh tim penulis berupa pelatihan dan pendampingan dilaksanakan selama 8 bulan, dengan metode pelaksanaan terdiri dari 5 tahap, yakni: persiapan, pembinaan, pendampingan, pelatihan dan evaluasi kegiatan. Dari hasil kegiatan terjadi peningkatan daya saing 60%, kemampuan penerapan Ilmu Pengetahuan dan teknologi bidang desain grafis dengan capaian sebesar 78%, dan terjadi peningkatan rasa percaya diri anak didik dan kemandirian anak didik dengan keterampilan khusus yang dimiliki serta semangat kewirausahaan bidang Desain Grafis dengan capaian 64%.

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: Other · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.002

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 head0.039
GPT teacher head0.298
Teacher spread0.259 · 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".

Quick stats

Citations8
Published2018
Admission routes1
Has abstractyes

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