Pengaruh Citra Merek dan Kepercayaan merek terhadap Loyalitas Produk Roma Sari Gandum di Wilayah Gresik
Bibliographic record
Abstract
Brand loyalty is a behavior of consumer loyalty to the brand by repurchasing the same product more than once. The purpose of this research is to find out the effect of brand image and brand trust on brand loyalty.This research uses quantitative methods. The questionnaire survey uses a Likert scale with a population and a sample of 90 consumers in the Gresik area. The selection of this research sample is based on purposive sampling. The results of the analysis using the Partial Least Square (PLS) application with validity tests, reliability tests, and hypothesis testing. The results of the study indicate that the brand image has made a high contribution to brand loyalty in Roma Sari wheat products. Brand trust can contribute to brand loyalty in Roma Sari Gandum Products. It means that the better the brand image produced by a product, the higher the brand loyalty. Even if brand trust, the higher the brand trust, the higher the brand loyalty.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".