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Record W4399812119 · doi:10.47039/ish.6.2024.1-12

Pemetaan Pengusaha dan Identifikasi Potensi Pengusaha Muda Asli Papua di Provinsi Papua Barat

2024· article· id· W4399812119 on OpenAlexaff
Maria Arim, Kunto Wibowo, Nurhani Widiastuti, Haerul Arifin, Daniel Jimmy Oruw, Jeffri Roy Pattiasina, Ezrom Batorinding

Bibliographic record

VenueIgya ser hanjop Jurnal Pembangunan Berkelanjutan · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesBusinessArt

Abstract

fetched live from OpenAlex

Usaha Mikro, Kecil dan Menengah (UMKM) berperan penting dalam menggerakkan roda perekonomian dan sebagai basis ekonomi rakyat yang dapat dilakukan berbagai kalangan masyarakat dalam usaha bisnis. Pengusaha Muda Asli Papua (PMAP) sebagai bagian dari para pelaku usaha di wilayah Papua Barat turut andil dalam UMKM. Tujuan penelitian ini adalah untuk mengidentifikasi dan menganalisis Potensi Pengusaha Muda Asli Papua. Metode penelitian yang digunakan adalah metode deskriptif. Pengambilan sampel dilakukan dengan metode snowball sampling kepada pengusaha Papua yang ada di Kabupaten Manokwari Selatan, Teluk Bintuni dan Pegunungan Arfak. Hasil penelitian menunjukkan jenis usaha yang telah dikelola dan dapat dikembangkan PMAP meliputi usaha industri kreatif, berbagai usaha jasa, usaha budidaya perikanan air tawar, usaha ternak ayam potong dan usaha produksi pengolahan makanan. Fasilitas pengembangan usaha yang dominan diakses PMAP utamanya berupa pelatihan, sedangkan akses promosi usaha dan pendampingan usaha masih sangat minim. Demikian pula akses modal, pembimbingan usaha dan magang, meskipun dapat diakses namun terbatas. Berdasarkan kepemilikian dokumen dan perizinan usaha dari PMAP menunjukkan sebagian besar PMAP belum memiliki. Hal tersebut disebabkan anggapan bahwa proses perizinan yang berbelit dan membutuhkan waktu lama, ketidaktahuan tentang proses pengurusan dan manfaat adanya dokumen-dokumen perizinan dalam pengembangan usaha. Dampak eksternalitas dari berbagai jenis usaha yang dilakukan PMAP menunjukkan eksternalitas positif yaitu terserapnya tenaga kerja dari kalangan anak muda dan kaum perempuan.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0080.004
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.003

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 head0.019
GPT teacher head0.276
Teacher spread0.257 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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