Pengembangan Model Pemuatan Peti Kemas Menggunakan MATLAB

Hendrawan, Yopy Anjas (2022) Pengembangan Model Pemuatan Peti Kemas Menggunakan MATLAB. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pada 10 tahun terakhir througput peti kemas di dunia mengalami peningkatan sebesar 2,83% /tahun. Dengan jumlah pendistribusian peti kemas di dunia yang semakin meningkat berdampak langsung terhadap jumlah throughput peti kemas di Indonesia yang meningkat sebesar 3,24% /tahun. Untuk dapat menangani jumlah peti kemas yang semakin besar, diperlukanya peningkatan terhadap efisiensi operasional di terminal. Untuk kasus terminal peti kemas, salah satu indikator efisiensi adalah jumlah terjadinya shifting saat proses muat. Diambil data di Terminal Petikemas Surabaya, menunjukan bahwa jumlah shifting selalu meningkat setiap tahunya dengan rata-rata peningkatan sebesar 14% /tahun dengan kerugian mencapai Rp 1.730.000.000 dalam satu tahun. Penelitian akan terfokus pada 3 area, yaitu lapangan penumpukan (LP), metode pengambilan peti kemas dan stowage plan. Untuk menyelesaikan permasalahan ini dilakukan pengujian terhadap 44 skenario yang akan diselesaikan dengan metode First In First Serve (FIFS), Last In First Serve (LIFS) dan Top Stack First Serve (TSFS) dengan bantuan piranti lunak MATLAB. Didapatkan bahwa lapangan penumpukan (LP) susunan peti kemas vertikal dan stowage plan susunan horizontal dengan metode pengambilan secara TSFS memiliki jumlah shifting paling kecil setelah dilakukan percobaan sebanyak 50 kali. Didapatkan bentuk pemrograman MATLAB untuk otomatisasi pemilihan peti kemas untuk proses muat ke kapal. =================================================================================================== In the last 10 years, container throughput in the world has increased by 2.83% / year. With the increasing number of container distributions in the world, it has a direct impact in the equalls of container throughput in Indonesia which increases by 3.24% / year. To be able to handle the increasing number of containers, it is necessary to increase operational efficiency at the terminal. In the case of a container terminal, one of the efficiency indicators is the number of shifting that occur during the loading process. The data taken at the Terminal Petikemas Surabaya, shows that the number of shifting always increases every year with an average increase of 14% / year with losses reaching IDR 1,730,000,000 in one year. The research will focus on 3 areas, namely the stacking field (LP / Lapangan Penumpukan), the method of picking up containers and the stowage plan. To solve this problem, 44 scenarios were tested which will be solved using the First In First Serve (FIFS), Last In First Serve (LIFS) and Top Stack First Serve (TSFS) the solving methode with the MATLAB software. It was found that the stacking field (LP / Lapangan Penumpukan) for the vertical arrangement of containers and the stowage plan for the horizontal arrangement with the TSFS collection method had the smallest number of shifting after 50 times experiments were carried out. The MATLAB programming form was obtained for automating the selection of containers for the loading process to the ship. Key Word : Stacking field, TSFS Method, Shifting, Stowage Plan, Matlab program

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Stacking field, TSFS Method, Shifting, Stowage Plan, Matlab program, Lapangan penumpukan, Metode TSFS, Shifting, Stowage Plan, Program MATLAB
Subjects: H Social Sciences > HE Transportation and Communications > HE311.I4 Urban transportation
Q Science > QA Mathematics > QA402.6 Transportation problems (Programming)
V Naval Science > V Naval Science (General) > V220 Naval ports, bases, reservations, docks, etc.
V Naval Science > VK > VK358 Marine terminals
Divisions: Faculty of Marine Technology (MARTECH) > Sea Transportation Engineering > 21207-(S1) Undergraduate Thesis
Depositing User: Yopy Anjas Hendrawan
Date Deposited: 21 Feb 2022 03:56
Last Modified: 21 Feb 2022 03:56
URI: https://repository.its.ac.id/id/eprint/94676

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