Determinants of logistics effectiveness on port operational performance: Empirical evidence from Indonesia
Bibliographic record
Abstract
This research aimed to know the influence of accessibility and cargo transport regulations on the operational performance mediated by logistics effectiveness in the Class II Port of Jayapura, Papua Province. Several main problems in the object of this research were the existence of operational hour limitation regulation which made cargo delivery not maximally run, limited road network and roads in the port area, as well as the occurrence of congestion if cargo ships and passenger ships arrived at the port at the same time. This research used Structural Equation Modelling with Smart3PLS-SEM. The sampling technique used probability sampling and was conducted in the Port of Jayapura. The respondents were as many as 250 people consisting of shipping business players, transportation service providers, Harbormaster’s office, and the Port Authority. The result of the analysis and discussion indicated that logistics effectiveness was a reinforcing factor in the achievement of port operational performance. The existing obstacles could be overcome through road infrastructure improvement, traffic engineering, continuous policy improvement, and port facility and infrastructure improvement. The key finding was the necessity of an information technology system used for the ship's loading and unloading activities digitally to be utilized by the stakeholders, shipping companies, stevedoring companies, expedition companies, and cargo owners.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".