Kajian Evaluasi Pelayanan Penumpang Kapal Laut di Pelabuhan Tanjung Pinang
Bibliographic record
Abstract
Ship is one of the marine transportation of interest many people. Advantages of ships as a means of sea transport are cheap, safe, economical land and capable of carrying passengers or goods in large quantities, making the ship as a means of transport required by the comm uni hj, especially the lower middle income communities. But in reality, the ministry of economy class passenger ships are not as good as any other commercial grade. The study was conducted to observe the operational performance of ships as a means of crossing, which is one of effective tools and efficient transportation in Tanjung Pinang and surrounding areas. Assessment method used is surve1J method with random manner, to distribute questionnaires to passengers ships used as a sample. Sampling is done in non-random sampling, where samples were taken only at the majority of passengers at random. Questionnaire method used is measurement of the attitude of respondents using semantic difference scale. On this scale respondents were asked to evaluate several variables, where each variable there are seven points with the left boundary and right boundary contains an adjective meaning the opposite. While data analysis using Multiattribute Attitude Model (MAM). Multiattribute Attitude In this model, the attitude of the respondents can be seen in the order of importance of each variable. From this study showed that in the operation of ships as a means of crossing with the performance variables of the availability of advanced types of transportation at the port, transport capacity, condition of existing facilities in the ship, less satisfacton;. Variable travel schedule as a means of crossing vessels was satisfactory. For the variables of travel speed, the cost of travel, smooth operation, service personnel, timeliness of departure/ arrival passengers satisfactory, while the variable passenger safehj is very satisfying journey. So generally service ships in the Port of Tanjung Pinang quite satisfying passengers.Keywords : Ships, multiattribute attitude models.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.023 | 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".