The Influence Of Price, Brand Image And Promotion On The Decision To Buy Milk SGM At Karangmalang Sragen
Bibliographic record
Abstract
This study aims to find out, analyze, and provide empirical evidence that there is an effect of brand image, price, and promotion on the decision to buy SGM milk at KarangmalangSragen. The population in this study was SGM milk buyers at KarangmalangSragen November 2018. 100 people were selected as research samples by random sampling method. The analysis technique in this study consisted of testing instruments, validity, reliability, classic assumption tests, multiple linear regression analysis, t test, F test, and R2 test. The results of multiple linear regression research showed that, Brand Image, Price and Promotion had a positive effect Regarding the decision to purchase SGM milk at KarangmalangSragen. The results of the t test show that the Brand Image, Price, and Promotion in fact have a significant effect on the decision to purchase SGM milk at KarangmalangSragent.The results of the F test show that the variables of Brand Image, Price and Promotion simultaneously have a significant effect on the decision to purchase SGM milk at KarangmalangSragen. The R2 (coefficient of determination) results are 0.584 which means that the purchase decision is explained by the Brand Image variable, Price and Promotion of 58.4% while the remaining 41.6% is explained by other variables not included in this study such as Brand Image, Consumer Motivation, Product Quality, Service, Location.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".