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Record W3034393875 · doi:10.46757/demand.v1i1.57

Preperensi Konsumen dalam Pembelian Sayuran Penelitian di Wilayah (BKPP) Cirebon

2019· article· id· W3034393875 on OpenAlexaff
Iqbal Arraniri, Yoyo Sunaryo

Bibliographic record

VenueDigital Economic Management and Accounting Knowledge Development (DEMAnD) · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)WiLAN (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Kebutuhan kecukupan gizi masyarakat, dapat dilihat dari besarnya jumlah konsumsi sayuran per hari. Sumber vitamin dan mineral serta unsur mikro, pembentuk tubuh tersedia dalam produk sayuran. Penelitian ini bertujuan untuk mengetahui preperensi konsumen pembelian sayuran, dan faktor-faktor yang mempengaruhi keputusan konsumen dalam pembelian sayuran. Di satu sisi para pelaku usahatani sayuran menanam komoditas yang dibutuhkan masyarakat, dijual atas permintaan pasar. Di sisi lain sebagai informasi bagi para produsen sayuran untuk menghindari terjadinya keruahan produksi, supley yang berlebihan dan mengurangi terjadinya resiko harga pasar yang rendah. Penelitian dilaksanakan Wilayah Kerja Badan Koordinasi Penyelengaraan Pembangunan (BKPP) Cirebon, meliputi Kabupaten dan Kota Cirebon, Kabupaten Indramayu, Kabupaten Majalengka dan Kabupaten Kuningan, Provinsi Jawa Barat. Metoda penelitian survey, dengan teknik analisis deskriptif kualitatif. Penentuan sampel daerah berdasarkan stratifaid random sampling, yaitu menetapkan keterwakilan wilayah dengan kataristik masyarakat yang berbeda. Masyarakat yang bermukim di kawasan pegunungan ditetapkan di Kuningan dan masyarakat yang bermukim di kawasan pantai ditetapkan Kota Cirebon. Teknik penetapan sampel non peluang dengan metode accidental sampling (teknik pengambilan sampel berdasarkan kebetulan). Objek penelitian adalah konsumen yang sedang membeli atau telah membeli sayuran di Pasar Kepuh Kuningan dan di Pasar Jagasatru Cirebon. Hasil penelitian menunjukkan bahwa : Faktor lingkungan berpengaruh terhadap pembelian sauran di Kota Kuningan katagori tinggi dengan factor loading 0,80 dan di Kota Cirebon katagori sedang (0,70). Faktor psikologist yang berpengaruh terhadap pembelian sayuran di Kota Kuningan dan di Kota Cirebon sama-sama dalam kategori sedang dengan factor loading (0,70). Faktor atribut yang berpengaruh terhadap pembelian sayuran di Kota Kuningan katagori sedang dengan factor loading 0,73 dan di Kota Cirebon katagori tinggi dengan factor loading (0,81)

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0310.006

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 head0.010
GPT teacher head0.228
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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