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Record W2946197766 · doi:10.25104/warlit.v23i2.1058

Kajian Evaluasi Pelayanan Penumpang Kapal Laut di Pelabuhan Tanjung Pinang

2019· article· en· W2946197766 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWarta Penelitian Perhubungan · 2019
Typearticle
Languageen
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsSample (material)Christian ministryScale (ratio)Variable (mathematics)Port (circuit theory)Transport engineeringSampling (signal processing)Computer scienceOperations researchBusinessGeographyMathematicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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.

Opus teacher head0.004
GPT teacher head0.173
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it