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APLIKASI PELAPORAN GAWAT DARURAT DAN PERUTEAN MENGGUNAKAN ALGORITMA GENETIKA UNTUK PENANGANAN SITUASI DARURAT KOTA SEMARANG

NURZAKI, MOH. TOFA (2014) APLIKASI PELAPORAN GAWAT DARURAT DAN PERUTEAN MENGGUNAKAN ALGORITMA GENETIKA UNTUK PENANGANAN SITUASI DARURAT KOTA SEMARANG. Skripsi, Fakultas Ilmu Komputer.

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    Abstract

    Handling emergency situations quickly and accurately is needed to minimize the risks that can occur . Delays in handling emergency situations causing much loss of material and even the soul . Emergency response actions can be performed after the reports . Speed, precision, and accuracy of reporting information is needed to determine appropriate follow- handling . Officers who handle the emergency often confused with accuracy the location of the scene and determines the fastest route to the scene . Thus , a system is needed to reporting and responding to emergency situations that occur . This is the basic of research . Research carried out by developing GIS , GPS , GSM and Android technology -based systems . The routing process using Genetic Algorithm to obtain the optimal route . Through this system, the process of reporting and handling emergency situations can be easily and quickly done. Genetic Algorithm can produce an effective route towards the destination point. However, these are not always produced the shortest route. Thus, it is necessary to increase the Genetic Algorithm optimization in order to generate a more optimal route.

    Item Type: Article
    Subjects: T Technology > Teknik Informatika > INF Informatika
    Universitas Dian Nuswantoro > Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika
    Semantik 2013 > INF Informatika
    Divisions: Library of Congress Subject Areas > T Technology > Teknik Informatika > INF Informatika
    Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika
    Semantik 2013 > INF Informatika
    Depositing User: Psi Udinus
    Date Deposited: 08 Sep 2014 14:50
    Last Modified: 22 Nov 2014 06:58
    URI: http://eprints.dinus.ac.id/id/eprint/5351

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