The Effect of Enduring Service Intensifiers, Perceived Service Alternatives, and Self-Perceived Roles on the Level of Customer Satisfaction Using the Importance Performance Analysis Method (Case Study of Bank Sumut Syariah KC. Medan)
Bibliographic record
Abstract
This study aims to determine the relationship and influence of Enduring Service Intensifiers, Perceived Service Alternatives, Self-Perceived Roles on the Level of Consumer Satisfaction using the importance performance analysis method (case study of Bank Sumut Syariah Kc. Medan). The type of research used in this study is quantitative research. The object of this research was conducted at Bank Sumut Syariah branch office Jl Imam Bonjol Medan. The population used in this study were Bank Sumut Syariah customers who saved at the bank in the first quarter of 2023, as many as 2,340 people. The sample in this study was 96 people. Data collection techniques used multiple linear analysis with the help of the SPSS program version 23.0. Based on the results of the partial hypothesis test (t-test), it shows that the variables Enduring Service Intensifiers, Perceived Service Alternatives, Self Perceives Roles have a significance value of <0.05, which means that the variables Enduring Service Intensifiers, Perceived Service Alternatives, Self Perceives Roles have a positive and significant influence on increasing consumer satisfaction, so that the hypothesis in this study is accepted.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".