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Record W3026082045 · doi:10.25105/psia.v1i1.5966

ANALISIS KINERJA PELAYANAN KAPAL PENUMPANG DI DERMAGA 1 PELABUHAN MERAK

2019· article· id· W3026082045 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

VenueProsiding Seminar Intelektual Muda · 2019
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Peran angkutan laut di Indonesia yang merupakan negara kepulauan adalah sangat penting. Kapal mempunyai daya angkut yang jauh lebih besar dari pada kendaraan darat dan udara. Kapal dapat mengangkut penumpang, peti kemas, curah kering dan lainnya.Pelabuhan Merak berlokasi di Provinsi Banten. Tujuan penelitian ini untuk mengevaluasi kinerja pelayanan kapal penumpang Pelabuhan Merak untuk 5 (lima) tahun mendatang untuk meningkatkan kualitas pelayanan dan mengantisipasi pertumbuhan aktivitas pelabuhan merak menggunakan program SPSS (Statistical Product and Service Solution) dan menilai Berth Occupancy Ratio dermaga. Analisa program SPSS Ver.25 untuk mendapatkan variable angka peramalan kapal dan penumpang dalam 5 tahun yang akan datang

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.017
GPT teacher head0.222
Teacher spread0.206 · 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