Wibisono, Adi (2017) Optimisasi Pengisian Bahan Bakar Pesawat di Bandara Juanda Terminal 2 Menggunakan nalgoritma Ant Colony. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
Text
2212100041-undergraduate_Theses.pdf Restricted to Repository staff only Download (1MB) | Request a copy |
Abstract
Seiring dengan semakin majunya dunia penerbangan dan padatnya
rute penerbangan, maka dalam suatu bandar udara, terutama bandar udara
besar, terdapat suatu fasilitas pengisian bahan bakar pesawat. Depo
Pengisian Pesawat Udara (DPPU) merupakan salah satu fasilitas dan
sarana vital di suatu bandar udara untuk menunjang operasi pelayanan
pengisian bahan bakar pesawat. DPPU di Bandar Udara Juanda
menggunakan 2 tipe pengisian yaitu dengan jalur pipa (pipeline) di bawah
apron dan pengisian menggunakan truk refueler. Dalam tugas akhir ini,
akan dilakukan perencanaan penjadwalan untuk pengisian bahan bakar
pesawat dengan truk refueler, sehingga dihasilkan jumlah truk yang
digunakan minimum dengan menggunakan Algoritma Ant Colony.
Dengan menggunakan iterasi 400,
===========================================================================================
Along with the advanced world of dense low and the flight route,
then in an airport, especially the large airports, there is an air refueling
facilities. Charging the Aircraft Depot is one of the vital facilities and
amenities at an aerodrome to support the operation of aircraft refueling
services. Depots aircraft in Juanda using two types of charging is by
pipeline (pipeline) under the apron and charging using refueler truck. In
this thesis, we will do the planning schedule for refueling of aircraft with
refueler truck, so that the resulting minimum number of trucks used by
using Ant Colony Algorithm. Using iteration 400,
Item Type: | Thesis (Undergraduate) |
---|---|
Uncontrolled Keywords: | Ant Colony Algorithm, Optimasi, Sistem Distribusi, Vehicle Routing Problem |
Subjects: | Q Science > QA Mathematics > QA184 Algebra, Linear Q Science > QA Mathematics > QA75 Electronic computers. Computer science. EDP |
Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
Depositing User: | ADI WIBISONO |
Date Deposited: | 03 Apr 2017 08:07 |
Last Modified: | 18 Dec 2017 01:49 |
URI: | http://repository.its.ac.id/id/eprint/2863 |
Actions (login required)
View Item |