Optimalisasi Skema Operasional Transshipment Batu Bara Terhadap Efektivitas Pencapaian Produktivitas
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
Penelitian ini bertujuan untuk menganalisis dan mengoptimalkan skema operasional transshipment batu bara di PT. Sea Bridge Shipping dalam rangka meningkatkan produktivitas dan efisiensi operasional. Penelitian ini mengidentifikasi kendala teknis dan non-teknis yang mempengaruhi proses transshipment, serta mengevaluasi optimalisasi penggunaan armada Floating Crane, Tugboat, dan tongkang. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui wawancara mendalam, observasi, dan analisis menggunakan analisis SWOT. Hasil penelitian menunjukkan bahwa optimalisasi skema operasional dapat dicapai dengan peningkatan koordinasi tim, pemeliharaan armada secara berkala, dan modernisasi fasilitas transshipment. Kendala utama yang ditemukan mencakup keterbatasan infrastruktur pelabuhan dan kurang optimalnya pemanfaatan Floating Crane, sementara kendala non-teknis berupa fluktuasi harga batu bara dan regulasi lingkungan yang semakin ketat. Penambahan jumlah armada serta penggunaan teknologi modern dalam pengelolaan transshipment diharapkan dapat meningkatkan efisiensi dan produktivitas PT. Sea Bridge Shipping secara signifikan.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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