Determinan Nilai Pelanggan Dan Implikasinya Pada Dependensi Pelanggan Bengkel Suv Premium
Bibliographic record
Abstract
he implementation of ASEAN Economic Community (AEC) for Indonesia making its big market more capitalized and and grow rapidly. The Indonesian automotive industrial market has become ASEAN’s biggest auto market. Automotive products in Indonesia is divided into two is a variant of commercial vehicles and passenger vehicle. Passenger vehicle is divided into three types namely: sedan, multi purpose vehicle (MPV), sport utility vehicle (SUV). The aim of this study is to investigate the determinants of customer value such as service quality and customer relationship management (CRM) and its implications on customer dependence. This research using a method of survey with a number of population 63.015 customers and 400 respondents as customers at premium SUV authorized service station in urban areas in West Java with using slovin formula. Analysis of data using path analysis. The result of this research concluded that the service quality and customer relationship management influenced partially significant on the perceived value of customers of car workshop premium SUV.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".