Digilib Perpustakaan Universitas Riau

Tugas Akhir, Skripsi, Tesis dan Disertasi Mahasiswa Universitas Riau

  • Beranda
  • Informasi
  • Berita
  • Bantuan
  • Pustakawan
  • Pilih Bahasa :
    Bahasa Arab Bahasa Bengal Bahasa Brazil Portugis Bahasa Inggris Bahasa Spanyol Bahasa Jerman Bahasa Indonesia Bahasa Jepang Bahasa Melayu Bahasa Persia Bahasa Rusia Bahasa Thailand Bahasa Turki Bahasa Urdu

Pencarian berdasarkan :

SEMUA Pengarang Subjek ISBN/ISSN Pencarian Spesifik

Pencarian terakhir:

{{tmpObj[k].text}}
Image of Optimasi Rute Penjemputan Penumpang Travel Menggunakan Metode Algoritma Genetika Berbasis Web Gis
Penanda Bagikan

CD Skripsi

Optimasi Rute Penjemputan Penumpang Travel Menggunakan Metode Algoritma Genetika Berbasis Web Gis

PRIMA FITRA WAHYU ALAMRA /1603115710 - Nama Orang;

ABSTRACT
Route optimization is a common challenge in the field of transportation. This
research aims to optimize pickup passenger routes using a genetic algorithm and
Geographical Information System for travel purposes. The primary objective is to
minimize the total distance and travel time for passengers. The genetic algorithm
is utilized to generate potential route populations, where each route represents a
feasible pickup sequence. By applying crossover and mutation operators, the
algorithm explores the solution space to find near-optimal routes. Fitness
evaluation takes into account various factors, including distance and travel time,
resulting in efficient and comfortable routes for passengers. To validate the
proposed approach, real-world sample data of pickup passengers from CV.
Gabus Rawa Travel is used. The results highlight the effectiveness of the genetic
algorithm in optimizing pickup passenger routes. This approach enables
transportation service providers to improve resource allocation, reduce travel
time and distance traveled for pickup passengers. The system generated is
efficient in producing optimal routes with a time complexity of O(n^3), thus
enhancing the efficiency of the pickup passenger travel process.
Keywords: Route Optimization, Genetic Algorithm, Geographical Information
System, fitness


Ketersediaan
#
Perpustakaan Universitas Riau 1603115710
1603115710
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
1603115710
Penerbit
Pekanbaru : Universitas Riau – FMIPA – Sistem Informasi., 2023
Deskripsi Fisik
-
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
1603115710
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
SISTEM INFORMASI
Info Detail Spesifik
-
Pernyataan Tanggungjawab
PUJA
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • JUDUL
  • DAFTAR ISI
  • ABSTRAK
  • BAB 1 PENDAHULUAN
  • BAB II TINJAUAN PUSTAKA
  • BAB III METODE PENELITIAN
  • BAB IV HASIL DAN PEMBAHASAN
  • BAB V KESIMPULAN
  • DAFTAR PUSTAKA
  • LAMPIRAN
  • LAMPIRAN
Komentar

Anda harus masuk sebelum memberikan komentar

Digilib Perpustakaan Universitas Riau
  • Informasi
  • Layanan
  • Pustakawan
  • Area Anggota

Tentang Kami

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Cari

masukkan satu atau lebih kata kunci dari judul, pengarang, atau subjek

Donasi untuk SLiMS Kontribusi untuk SLiMS?

© 2025 — Senayan Developer Community

Ditenagai oleh SLiMS
Pilih subjek yang menarik bagi Anda
  • Karya Umum
  • Filsafat
  • Agama
  • Ilmu-ilmu Sosial
  • Bahasa
  • Ilmu-ilmu Murni
  • Ilmu-ilmu Terapan
  • Kesenian, Hiburan, dan Olahraga
  • Kesusastraan
  • Geografi dan Sejarah
Icons made by Freepik from www.flaticon.com
Pencarian Spesifik
Kemana ingin Anda bagikan?