Analisa Bauran Pemasaran Terhadap Volume Penjualan (Studi Kasus Toko Pakaian Boysdontcry)
Bibliographic record
Abstract
Boysdontcry is a business engaged in fashion distros. Sales volume at Boysdontcry has decreased and increased, so researchers analyze whether the strategy implemented by Boysdontcry is right. Data analysis in this study uses quantitative analysis methods, namely by managing data presented in the form of frequency and percentage tables, in this study using simple regression analysis methods using statistical application software tools SPSS (Statistical Program for Social Science)). The validity test is used to measure the appropriateness or absence of a questionnaire and produce a valid value, namely the r value of the table r count. The overall reliability test of the question items from each variable can be used and can be distributed to all respondents, because each item shows valid and reliable results based on the results of constant value data of 1.394. Stating that the regression coefficient of 0.204 means that the marketing mix has a positive relationship with sales volume. Every 1 unit increase in the marketing marketing mix will affect the average sales volume increase of 0.204. Conversely, every decrease in sales volume will affect the average decrease in marketing mix by 0.204. Boysdontcry is a business engaged in fashion distros. Sales volume at Boysdontcry has decreased and increased, so researchers analyze whether the strategy implemented by Boysdontcry is right. Data analysis in this study uses quantitative analysis methods, namely by managing data presented in the form of frequency and percentage tables, in this study using simple regression analysis methods using statistical application software tools SPSS (Statistical Program for Social Science)). The validity test is used to measure the appropriateness or absence of a questionnaire and produce a valid value, namely the r value of the table r count. The overall reliability test of the question items from each variable can be used and can be distributed to all respondents, because each item shows valid and reliable results based on the results of constant value data of 1.394. Stating that the regression coefficient of 0.204 means that the marketing mix has a positive relationship with sales volume. Every 1 unit increase in the marketing marketing mix will affect the average sales volume increase of 0.204. Conversely, every decrease in sales volume will affect the average decrease in marketing mix by 0.204.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".