Analisis Kinerja Bongkar Muat Kapal yang Mengalami Perpanjangan Masa Tambat Di Terminal Multipurpose PT Pelabuhan Tanjung Priok
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.
Bibliographic record
Abstract
Kinerja bongkar muat kapal memiliki peran yang sangat besar dalam menentukan baik atau buruknya performa suatu pelabuhan. Tujuan analisis kinerja bongkar muat kapal yang mengalami perpanjangan masa tambat yaitu untuk melihat faktor apa saja yang mempengaruhi kegiatan bongkar muat, mengetahui tingkat pelayanan waktu tambat, dan menilai produktivitas kegiatan bongkar muat kapal. Metode penelitian yang digunakan dalam penyusunan ini adalah pendekatan metode kualitatif dan kuantitatif. Hasil penelitian dapat disimpulkan selama periode bulan januari sampai dengan bulan maret 2021 terdapat 93 kapal yang mengalami perpanjangan masa tambat dengan berbagai faktor yaitu; Clearence Out, Crane Trouble, Tenaga Kerja Bongkar Muat (TKBM), Waiting Truck, Weather, Handling Cargo. Hasil perhitungan rata-rata tingkat pelayanan waktu tambat kapal yang mengalami perpanjangan masa tambat berdasarkan perhitungan Effective Time dibanding dengan Berthing Time yaitu sebesar 66.15% dibawah dari standar KSOP yaitu 70%. Hasil perhitungan produktivitas bongkar muat kapal yang mengalami perpanjangan masa tambat menunjukkan nilai yang cukup baik.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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 it