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Record W4411161784 · doi:10.35965/ursj.v7i2.6216

Prediksi Kebutuhan Kapasitas Dermaga Berdasarkan Tren Perubahan Pola Penyeberangan

2025· article· id· W4411161784 on OpenAlex
Andi Firman Muhibuddin, Dewa Sagita Alfadin Nur, Andi Tenri Fada, Umara Hasmarani Rizqiyah, Firnawati Firnawati

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

VenueUrban and Regional Studies Journal · 2025
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Penelitian ini mengkaji kebutuhan kapasitas dermaga pelabuhan penyeberangan di Pelabuhan Pomako, Papua dengan mempertimbangkan perubahan pola penyeberangan. Permasalahan utama adalah ketidakseimbangan antara kapasitas kapal dan fluktuasi permintaan penumpang serta kendaraan, yang berdampak pada operasional pelabuan. Metode yang digunakan adalah proyeksi ekonometrik berbasis analisis regresi menggunakan data time-series pada rentang tahun 2017–2021, yang mengaitkan jumlah pengguna pelabuhan, baik itu jumlah penumpang, motor serta angkutan ringan dan berat dengan variabel ekonomi dan demografi seperti PDRB dan jumlah penduduk. Hasil proyeksi menunjukkan peningkatan signifikan kebutuhan kapasitas dermaga seiring dengan pertumbuhan ekonomi dan populasi, dengan proyeksi peningkatan jumlah penumpang hingga 36,6% dan kendaraan angkutan ringan dan berat masing-masing hingga 57,7% dan 35,5% pada tahun 2030. Hasil penelitian menyimpulkan kapasitas dermaga saat ini perlu ditingkatkan untuk mengakomodasi lonjakan permintaan dan mengoptimalkan pelayanan pelabuhan agar efisien dan berkelanjutan. Rekomendasi ini penting untuk mendukung kelancaran mobilitas dan distribusi barang di wilayah Papua. This study examines the dock capacity requirements at Pomako Ferry ports, considering changing crossing patterns. The primary issue is the imbalance between vessel capacity and the fluctuating demand for passengers and vehicles, which impacts port operations. The method used is an econometric projection based on regression analysis using time-series data from 2017 to 2021, linking the number of port users—including passengers, motorcycles, and light and heavy vehicles—with economic and demographic variables such as GRDP and population. The projection results indicate a significant increase in dock capacity needs in line with economic and population growth, with passenger numbers expected to rise by 36.6%, and light and heavy vehicle transport by 57.7% and 35.5%, respectively, by 2030. The study concludes that the current dock capacity must be enhanced to accommodate demand surges and optimize port services for efficiency and sustainability. These recommendations are crucial to support smooth mobility and goods distribution in the Papua region.

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), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.266
Teacher spread0.241 · 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