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Record W4236781456 · doi:10.31227/osf.io/j65hp

PENGARUH BIAYA PEMASARAN TERHADAP PENDAPATAN USAHA DAGANG KUNYIT (Curcuma domestica, Val) DI KECAMATAN PEUREULAK KABUPATEN ACEH TIMUR

2018· preprint· id· W4236781456 on OpenAlex
Rini Mastuti

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMathematicsHumanitiesArt

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui pengaruh biaya bongkar muat dan biaya pengangkutan terhadap pendapatan usaha dagang kunyit di Kecamatan Peureulak Kabupaten Aceh Timur. Penentuan lokasi secara purposive dan sampel diambil secara sensus (semua populasi). Hasil perhitungan Analisis Regresi Linear berganda antara biaya bongkar muat (X1) dan biaya pengangkutan (X2) terhadap pendapatan (Y) usaha dagang kunyit diperoleh persamaan regresi sebagai berikut: Y = -929,84 + 3,57 X1 + 3,12 X2. Dari persamaan di atas dapat diambil kesimpulan bahwa, setiap penambahan biaya bongkar muat (X1) maka pendapatan akan bertambah sebesar Rp. 3.570.000,00 dimana (X1) dianggap tetap. Begitu juga dengan penambahan biaya pengangkutan (X2) akan bertambah pendapatansebesar Rp. 3.120.000,00, dimana X1 dianggap tetap.

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.

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, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, 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 score0.509
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0030.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.003

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 head0.046
GPT teacher head0.257
Teacher spread0.211 · 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

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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