Optimalisasi Penentuan Jumlah Internal Truck Berdasarkan Alokasi Dermaga dan Penugasan Quay Crane pada Terminal Peti Kemas

Lutfianto, Muchammad Alfan (2025) Optimalisasi Penentuan Jumlah Internal Truck Berdasarkan Alokasi Dermaga dan Penugasan Quay Crane pada Terminal Peti Kemas. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Peningkatan perdagangan internasional dan otomatisasi produksi telah menyebabkan lonjakan arus peti kemas di pelabuhan secara global, termasuk Terminal Peti Kemas Nilam sebagai salah satu terminal domestik utama di Pelabuhan Tanjung Perak, Surabaya. Kondisi ini menuntut pengelolaan peralatan penanganan yang lebih efektif dan efisien, khususnya internal truck yang berfungsi sebagai penghubung antara dermaga dan lapangan penumpukan, guna menghindari kemacetan serta keterlambatan operasional. Namun, kinerja bongkar muat dan pelayanan kapal di terminal ini belum optimal akibat fluktuatif arus peti kemas dan penugasan peralatan yang kurang ideal, terutama pada quay crane (QC) dan internal truck (IT). Penelitian ini bertujuan untuk mengoptimalkan jumlah internal truck berdasarkan alokasi dermaga dan penugasan quay crane yang disesuaikan dengan volume peti kemas bongkar dan muat menggunakan simulasi kejadian diskrit sebagai pendekatan utama. Kinerja diukur dengan dua indikator utama, yaitu box/crane/hours (BCH) dan turn round time (TRT) kapal. Pada kondisi eksisting diperoleh nilai BCH dan TRT kapal sebesar 23.43 box dan 15.24 jam. Beberapa skenario perbaikan dikembangkan melalui variasi jumlah atau rasio penugasan quay crane dan internal truck, tanpa penambahan peralatan baru. Dari analisis skenario diperoleh bahwa skenario terbaik memiliki konfigurasi volume peti kemas <150 box dilakukan penugasan 2 QC dan 7 IT, sementara volume peti kemas >150 box dilakukan penugasan 2 QC dan 11 IT. Konfigurasi ini mampu meningkatkan BCH menjadi 25.33 box dan menurunkan TRT menjadi 11.82 jam. Temuan ini menunjukkan bahwa pendekatan ini efektif dalam meningkatkan kinerja sistem secara signifikan.
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The increase in international trade and production automation has led to a surge in container traffic at ports globally, including the Nilam Container Terminal, one of the main domestic terminals at Tanjung Perak Port in Surabaya. This situation requires more effective and efficient management of handling equipment, particularly internal trucks that link the dock and the container yard, to avoid congestion and operational delays. However, the loading and unloading performance and vessel service at this terminal are not optimal due to fluctuating container flows and suboptimal equipment allocation, particularly for quay cranes (QC) and internal trucks (IT). This study aims to optimize the number of internal trucks based on quay allocation and quay crane assignment tailored to the volume of containers being loaded and unloaded, using discrete event simulation as the primary approach. Performance is measured using two leading indicators: box/crane/hours (BCH) and vessel turnaround time (TRT). Under existing conditions, the BCH and TRT values are 23.43 boxes and 15.24 hours, respectively. Several improvement scenarios were developed by varying the number or ratio of quay crane and internal truck assignments, without adding new equipment. The scenario analysis found that the best scenario has a container volume configuration of <150 boxes with 2 QC and 7 IT assignments, while a container volume of >150 boxes has 2 QC and 11 IT assignments. This configuration can increase BCH to 25.33 boxes and reduce TRT to 11.82 hours. These findings indicate that this approach is practical in significantly improving system performance.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	terminal peti kemas, alokasi dermaga, penugasan quay crane, internal truck, simulasi, container terminals, berth allocation, quay crane assigment, internal truck, simulation
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T58.62 Decision support systems T Technology > TC Hydraulic engineering. Ocean engineering > TC357 Harbor Engineering. Piers, quays, and wharves V Naval Science > V Naval Science (General) > V220 Naval ports, bases, reservations, docks, etc.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	Muchammad Alfan Lutfianto
Date Deposited:	28 Jul 2025 10:39
Last Modified:	28 Jul 2025 10:39
URI:	http://repository.its.ac.id/id/eprint/122344

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