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Record W4416425600 · doi:10.38035/jmpis.v6i6.6550

Kemitraan Pemerintah dan Kelompok Tenun Ikat Sikka Sebagai Upaya Peningkatan Ekonomi Kreatif (Studi Dinas Perdagangan, Koperasi, dan UKM Kabupaten Sikka)

2025· article· W4416425600 on OpenAlexaff
Nur Chotimah, Nurdin H. Abd. Rahman S., Andy Suriyani, Yoseph Piterson

Bibliographic record

VenueJURNAL MANAJEMEN PENDIDIKAN DAN ILMU SOSIAL · 2025
Typearticle
Language
FieldSocial Sciences
TopicVocational and Entrepreneurial Education
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSWOT analysisHuman resources

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan menganalisis pola kemitraan antara Pemerintah Daerah melalui Dinas Perdagangan, Koperasi, dan UKM Kabupaten Sikka dengan kelompok pengrajin tenun ikat sebagai salah satu upaya pengembangan ekonomi kreatif berbasis budaya lokal. Metode penelitian menggunakan pendekatan deskriptif kualitatif dengan dukungan analisis SWOT (Strength, Weakness, Opportunities, Threats) untuk mengetahui posisi strategis dan arah pengembangan tenun ikat. Hasil penelitian menunjukkan bahwa kemitraan yang terjalin bersifat fasilitatif meliputi penyediaan bahan baku, pendampingan produksi, pelatihan keterampilan, serta dukungan akses pemasaran. Analisis SWOT menghasilkan skor IFAS sebesar 3,511 dan EFAS sebesar 3,586, yang menempatkan posisi tenun ikat sikka pada kuadran II (strategi diversifikasi). Hal ini menunjukkan bahwa meskipun memiliki kekuatan internal berupa dukungan pemerintah, jaringan pemasaran, serta nilai budaya sebagai identitas daerah, pengembangan tenun ikat tetap dihadapkan pada ancaman eksternal seperti persaingan produk pabrikan, fluktuasi harga bahan baku, dan minimnya regenerasi penenun muda. Penelitian ini menyarankan strategi diversifikasi produk, penguatan regulasi, optimalisasi digital marketing, serta kemitraan multi-aktor agar pengembangan tenun ikat dapat lebih berdaya saing, berkelanjutan, dan memberikan kontribusi bagi kesejahteraan masyarakat sikka.

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)0.001
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)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0050.001
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.307
Teacher spread0.289 · 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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