Rohmat, Muhammad Yarjuna (2016) Penggunaan Metode Analisis Spasial Dan Genetic Algorithms (Ga) Pada Sistem Penentuan Lokasi Optimum Spbu. Undergraduate thesis, Institut Teknologi Sepuluh Nopember Surabaya.
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Abstract
Stasiun Pengisian Bahan Bakar Umum (SPBU)
merupakan salah satu fasilitas yang keberadaannya sangat
vital bagi masyarakat perkotaan. Karena ketergantungan
masyarakat kepada SPBU, SPBU harus berada dekat dengan
lingkungan masyarakat. Namun tak dapat dipungkiri bahwa
pendirian lokasi SPBU juga perlu untuk mempertimbangkan
aspek hukum, lebih spesifiknya aspek Rencana Tata Ruang
Wilayah (RTRW). Oleh karena itu, dalam usaha penentuan
lokasi SPBU, diperlukan analisis multi aspek yang tepat agar
lokasi SPBU tersebut tidak menyalahi RTRW namun tetap
memperhatikan sisi ekonomi.
Dalam Tugas akhir ini, penulis membuat sebuah alat
bantu berbasis Python (Python Toolbox) pada ArcGIS 10.3
untuk menentukan lokasi optimum SPBU menggunakan metode
Genetic Algorithm dengan kriteria jarak terhadap rumah sakit,
sekolah, SPBU eksisting dan populasi. Data yang digunakan
dalam proses uji coba merupakan data yang mencakup kriteriakriteria
pada kota Surabaya bagian Barat. Berdasarkan hasil
implementasi menggunakan Genetic Algorithm dengan
parameter jumlah individu sebesar 200 dan interval sebesar
1000, sistem dapat melakukan pencarian alternatif lokasi
SPBU dengan nilai konsistensi sebesar 0.92.
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Gas Station (SPBU) is one of vital facilities which
important for urban communities. Because of the dependence
of community to gas stations, gas stations must be located close
to the community. However, there is no doubt that the gas
station building also need to consider the legal aspects, more
specific is Spatial Planning or Rencana Tata Ruang Wilayah
(RTRW). Therefore, in determining the location of gas station,
is necessary to do the right multiaspects analysis so that the
location of gas station does not violate RTRW but still consider
the economic side.
In this thesis, author makes a phyton based tools
(phyton toolbox) on ArcGIS 10.3 for determining the optimum
location of gas stations using Genetic Algorithm method with
criteria of distance to hospitals, schools, existing gas station,
and population of communities. Data used in the trial process
is data that includes criteria in West of Surabaya City. As result,
based on the implementation of Genetic Algorithm with
parameter individu number of 200 and interval of 1000, Python
Toolbox can do a search for an gas station alternative location
with the consistency value of 0.92.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSIf 006.693 Roh p-1 |
| Uncontrolled Keywords: | Analisis Spasial, Genetic Algorithm, SPBU, GIS. |
| Subjects: | Q Science > QA Mathematics > QA402.5 Genetic algorithms. Interior-point methods. |
| Divisions: | Faculty of Information Technology > Informatics Engineering > 55201-(S1) Undergraduate Thesis |
| Depositing User: | EKO BUDI RAHARJO |
| Date Deposited: | 17 Dec 2019 01:44 |
| Last Modified: | 17 Dec 2019 01:44 |
| URI: | http://repository.its.ac.id/id/eprint/72380 |
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