Impact of loading and unloading productivity on service user satisfaction
Bibliographic record
Abstract
This study is aimed at analyzing the effect of port service performance, occupational safety, and health, and work safety on loading and unloading productivity and its impact on service user satisfaction at Yos Sudarso Tual Port, Maluku province, in Eastern Indonesia in 2020. What was found was the limited-service performance delivered to service users, resulting in dissatisfaction. This could have implications for the less-than-optimal loading and unloading performance at Yos Sudarso Tual Port. The study uses a quantitative method, with a path analysis model, with a total of 40 samples. Research respondents are users of loading and unloading services. The findings, in general, indicate that there is an effect of port service performance, occupational safety, and health and work security on loading and unloading productivity which in turn has an impact on increasing user satisfaction of Yos Sudarso Tual Port services. The key finding is that new investments are needed which will require the ongoing capacity building and development of several port authorities who are civil servants who will oversee port planning and operations and regulate access to key port services and facilities.
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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 | 0.004 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".