Announcement
Starting on July 4, 2018 the Indonesian Publication Index (IPI) has been acquired by the Ministry of Research Technology and Higher Education (RISTEKDIKTI) called GARUDA Garba Rujukan Digital (http://garuda.ristekdikti.go.id)
For further information email to portalgaruda@gmail.com

Thank you
Logo IPI  
Journal > PIKSEL (Penelitian Ilmu Komputer Sistem Embedded dan Logic) > EVALUASI DAN OPTIMASI LOKASI PENDIRIAN SENTRA PENGISIAN BAHAN BAKAR UTAMA (SPBU) DI KABUPATEN BEKASI MENGGUNAKAN METODE ALGORITMA GENETIK

 

PIKSEL (Penelitian Ilmu Komputer Sistem Embedded dan Logic)
Vol 1, No 2 (2013): PIKSEL (Penelitian Ilmu Komputer Sistem Embedded dan Logic)
EVALUASI DAN OPTIMASI LOKASI PENDIRIAN SENTRA PENGISIAN BAHAN BAKAR UTAMA (SPBU) DI KABUPATEN BEKASI MENGGUNAKAN METODE ALGORITMA GENETIK
Article Info   ABSTRACT
Published date:
29 Nov 2013
 
Gas Stations are important objects for transportation. Therefore, the location must be optimum regarding to economic, environment, and safety aspects. Genetic Algorithms are used to help calculating for optimum location of gas stations. For easiness we integrated Geographic Information Systems (GIS) with genetic algorithms for Bekasi District. According to GIS rule, we use two kinds of data: vector data and raster data. Road of map and location of object that must far away from gas station as vector data and map as raster data. Conversion from local coordinate to global coordinate is used in order to be integrated with google map application. Testing result showed that optimum gas station location are far enough from vital locations that must far away from gas stations.Keywords: Geographic Information System, Genetic Algorithms, Optimization Gas Stations are important objects for transportation. Therefore, the location must be optimum regarding to economic, environment, and safety aspects. Genetic Algorithms are used to help calculating for optimum location of gas stations. For easiness we integrated Geographic Information Systems (GIS) with genetic algorithms for Bekasi District. According to GIS rule, we use two kinds of data: vector data and raster data. Road of map and location of object that must far away from gas station as vector data and map as raster data. Conversion from local coordinate to global coordinate is used in order to be integrated with google map application. Testing result showed that optimum gas station location are far enough from vital locations that must far away from gas stations.Keywords: Geographic Information System, Genetic Algorithms, Optimization
Copyrights © 2013