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Record W4402286179 · doi:10.36985/9jbt4c58

Pengaruh Pemberdayaan Pedagang Kaki Lima Dan Kinerja Perusahaan Daerah Terhadap Pengembangan Pasar Agribisnis Di Pasar Horas Kota Pematangsiantar

2022· article· id· W4402286179 on OpenAlexaff
Juan Winaldy Simorangkir, Arvita Netty Haloho, Jasman Purba, Mustafa Ginting

Bibliographic record

VenueJurnal Regional Planning · 2022
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

ABSTRAK Tujuan penelitian ini adalah menganalisis Pengaruh Pemberdayaan Pedagang Kaki Lima dan Kinerja Perusahaan Daerah terhadap Pengembangan Pasar Agribisnis di Pasar Horas Kota Pematangsiantar. Populasi penelitian ini adalah masyarakat yang berada di Kota Pematangsiantar. Dengan jumlah penduduk 11.507 jiwa. Dengan mengggunakan rumus penarikan sampel, maka sampel penelitian sebesar 100 orang. Penelitian ini menggunakan regresi ganda, pengolahan data menggunakan SPSS. Dari hasil penelitian diketahui bahwa hasil koefisen determinasi pemberdayaan pedagang kaki lima sebesar 0,556 atau 55,6 hasil koefisen determinasi kinerja perusahaan daerah sebesar 0,595 atau 59,5. Hasil koefisen determinasi Pemberdayaan Pedagang Kaki Lima dan Kinerja Perusahaan Daerah terhadap Pengembangan pasar agribisnis sebesar 0,641 atau 64,1 %. Sedangkan sisa 35,9%, yang tidak masuk kedalam penelitian ini. Jadi dapat disimpulkan bahwa Pemberdayaan Pedagang Kaki Lima dan Kinerja Perusahaan Daerah mempunyai pengaruh terhadap pengembangan pasar agribisnis di Pasar Horas Kota Pematangsiantar. Penelitian ini memberikan sumbangan pemikiran dan saran kepada Perusahaan Daerah Pasar Horas Jaya dalam mengembangkan pasar agribisnis di Pasar Horas Kota Pematangsiantar

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.003
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 head0.054
GPT teacher head0.260
Teacher spread0.206 · 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 teacher head, not a consensus.

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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