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Record W4412877904 · doi:10.54082/jamsi.1969

Peningkatan Kapasitas Pengrajin Songkok Guru (Produksi dan Pasca Produksi) di Desa Popo Kecamatan Galesong Selatan

2025· article· id· W4412877904 on OpenAlexaff
Zulkifli Mappasomba, Muhammad Nurhidayat, Rafdi Ainurridho Yusron

Bibliographic record

VenueJurnal Abdi Masyarakat Indonesia · 2025
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Desa Popo, Kabupaten Takalar, melalui pendekatan produksi dan pasca produksi yang berkelanjutan. Permasalahan utama meliputi keterbatasan manajemen produksi, pemasaran konvensional, desain produk tradisional, serta pemanfaatan limbah yang belum optimal. Metode pelaksanaan mencakup: (1) musyawarah program untuk identifikasi kebutuhan, (2) pelatihan desain kreatif berbasis kecerdasan buatan (AI), (3) pelatihan pemasaran digital dan pembuatan platform promosi digital, serta (4) pemanfaatan limbah menjadi produk bernilai ekonomi. Hasil kegiatan menunjukkan peningkatan signifikan dalam pengetahuan dan keterampilan pengrajin, terbentuknya Kelompok Usaha Kerajinan Bersama (KUKB), serta pengembangan website pemasaran (kuktcahayaterang.com). Hasil kegiatan menunjukkan seluruh peserta berhasil membuat desain inovatif, 71% telah aktif memasarkan produk secara online, 64% mampu memanfaatkan limbah menjadi kerajinan baru, dan terbentuknya kelembagaan usaha bersama yang terhubung dengan media promosi digital. Dampak dari kegiatan ini terlihat pada meningkatnya pengetahuan dan keterampilan teknis pengrajin, perluasan jangkauan pasar, peningkatan nilai tambah dari produk limbah, serta munculnya semangat kolaborasi melalui kelompok usaha formal yang mendukung keberlanjutan produksi dan pemasaran. Kegiatan ini memperkuat posisi pengrajin sebagai pelaku ekonomi kreatif berbasis budaya lokal.

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)0.002
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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0020.000
Scholarly communication0.0040.005
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.230
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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