CUSTOMERS’ SATISFACTION TOWARDS COUNTER SERVICE OF LOCAL AUTHORITY IN TERENGGANU, MALAYSIA
Bibliographic record
Abstract
The development of public administration not only contributes to the modernization of the public service but has also educated the public. Public expects the civil service to fulfill their needs in the best tune. Therefore, the quality of the services given by the public service, in all aspects, need to recognize the customers’ expectation. Realizing the important of improving the public service, this paper aimed to investigate the customer’s satisfaction towards service quality in the counter of the local authority. Even though the operation of each local authority followed the same operating procedures, but still the satisfaction rendered to the customers differ. With the intention of understanding and assisting the state government to improve their services, we decided to focus our study in the district of Kemaman, Dungun and Marang to represent other districts in the state of Terengganu. The main objective of this study is to measure the quality of services provided at the counter. The data were collected cross-sectionally using self-administered questionnaire. The dimensions concerning employees’ performance at the counter, layout plan and counter service quality were selected to be the predictor of the dependent variable which influences customer’s level of satisfaction. Our findings revealed that, there were significant relationships between the selected dimensions as to the main theme of our discussion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".