Pengaruh Atmosphere Store, Desain Produk dan Citra Merek Terhadap Keputusan Pembelian (Studi Kasus di Rown Division Surakarta)
Bibliographic record
Abstract
Tujuan penelitian ini adalah Untuk mengetahui Pengaruh Atmosphere Store, Desain Produk, dan Citra Merek terhadap Keputusan Pembelian di Rown Division Surakarta. Lokasi penelitian yang digunakan adalah Rown Division Surakarta kabupaten Surakarta. Dengan jumlah sampel sebanyak 100 responden. Pengambilan sampel dilakukan dengan sample random sampling. Data dikumpulkan dengan cara membuat kuesioner mengenai Keputusan Pembelian, Atmosphere Store, Desain Produk dan Citra Merek. Data hasil penelitian dianalisis dengan teknik uji t, uji F, dan regresi linier berganda. Hasil analisis menunjukkan bahwa: Atmosphere Store berpengaruh positif dan tidak signifikan terhadap Keputusan Pembelian. Desain Produk berpengaruh positif dan signifikan terhadap Keputusan Pembelian. Citra Merek berpengaruh positif dan signifikan terhadap Keputusan Pembelian. Suasana Store, Desain Produk, dan Citra Merek secara bersama-sama berpengaruh signifikan terhadap Keputusan Pembelian. Uji determinasai (R2) diperoleh hasil nilai Adjusted R Square sebesar 0.527. Hal ini berarti bahwa variabel Atmosphere Store, Desain Produk, dan Citra Merek pengaruhnya sebesar 52.7% sedangkan sisanya 47,3% dipengaruhi oleh variabel lain yang tidak termasuk dalam penelitian ini.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".