KARAKTERISTIK DAN ATRIBUT PRODUK TERHADAP KEPUTUSAN PEMBELIAN JAMU GENDONG DI DESA KIRINGAN, JETIS, BANTUL, YOGYAKARTA
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".