Pengaruh Atmosphere Store, Desain Produk dan Citra Merek Terhadap Keputusan Pembelian (Studi Kasus di Rown Division Surakarta)
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.
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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 it