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Record W4386259237 · doi:10.32585/ags.v7i2(is).4355

KARAKTERISTIK DAN ATRIBUT PRODUK TERHADAP KEPUTUSAN PEMBELIAN JAMU GENDONG DI DESA KIRINGAN, JETIS, BANTUL, YOGYAKARTA

2023· article· id· W4386259237 on OpenAlex
Beti Rias Sumarlin, Nur Saudah Al Arifa

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

VenueAGRISAINTIFIKA Jurnal Ilmu-Ilmu Pertanian · 2023
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychologyHumanitiesArt

Abstract

fetched live from OpenAlex

Abstrak Penelitian ini bertujuan untuk mengetahui karakteristik dan atribut yang menjadi keputusan pembelian jamu gendong di Desa Kiringan. Jumlah responden sebanyak 100 orang yang dipilih secara acak. Metode analisis dalam penelitian ini menggunakan analisis deskriptif dan analisis fishbein. Hasil penelitian menunjukan bahwa konsumen jamu gendong di dominasi berjenis kelamin perempuan, rata-rata usia 21-30 tahun, berstatus menikah, pendidikan terakhir SMA, dan memiliki pendapatan perbulan < Rp.1.500.000,00. Atribut yang menjadi keputusan pembelian jamu gendong ada 11 atribut yaitu meliputi rasa, khasiat, komposisi, merek, kemasan, harga, keamanan, kemudahan dan ketersediaan. Atribut yang menjadi pertimbangan keputusan pembelian yaitu atribut khasiat, atribut rasa, dan atribut keamanan. Dengan total skor khasiat 8,05, rasa 6,57, keamanan 5,76. Hal ini menunjukkan bahwa konsumen sebelum membeli memperhatikan manfaat yang ada pada produk dan rasa yang menjadi pertimbangan pembelian ulang. Kata kunci : Karakteristik, Atribut, Jamu, Keputusan Pembelian

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)0.003
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), 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 score0.374
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.008

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 head0.021
GPT teacher head0.244
Teacher spread0.223 · 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