ANALISIS KEPUASAN KONSUMEN DAN BAURAN PEMASARAN PADA AGROINDUSTRI KOPI BUBUK CAP JEMPOL DI KOTA BANDAR LAMPUNG
Bibliographic record
Abstract
This study aims to analyze the level of consumer satisfaction of coffee powder and the marketing mix of coffee powder agroindustry in Bandar Lampung City. The research method used was a case study. Research location was determined purposively. The number of interviewed samples was 60 respondents chosen using snowball sampling method. Respondents of this study consisted of consumers of coffee powder, owners, industry and trade in Bandar Lampung City, and experts of University Lampung chosen using snowball sampling. The study was conducted in February-April 2018. The data analysis methods used are the analysis of the Customer Satisfaction Index (CSI) and descriptive analysis. The results showed that: consumers of Jempol brand coffee powder in Bandar Lampung City were in satisfied criteria. The marketing mix for agroindustry has implemented marketing strategy (marketing mix).Key words: agroindustry, consumer satisfaction, coffee powder, marketing mix
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".