Open AccessAnalysis Simple Additive Weighting and Genetic Algorithm for Traffic Management System
Author(s) -
Abdul Aziz,
Surya Michrandi Nasution,
Casi Setianingsih
Publication year - 2020
Publication title -
international journal of integrated engineering/international journal of integrated engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.215
H-Index - 10
eISSN - 2600-7916
pISSN - 2229-838X
DOI - 10.30880/ijie.2020.12.07.012
Subject(s) - weighting , tourism , selection (genetic algorithm) , simple (philosophy) , genetic algorithm , computer science , path (computing) , operations research , mathematical optimization , software , data mining , algorithm , geography , engineering , artificial intelligence , machine learning , mathematics , computer network , medicine , philosophy , archaeology , epistemology , radiology , programming language
Bandung Tourism is currently developing rapidly, where every year the number of tourist attractions has increased. The convenience provided by today's technology such as Google Maps is still lacking in helping tourists. Until now, software that is useful for determining the route by selecting tourist attractions is still small. The problem of tourists in making a tour include traffic jams, distances and tourist attractions to be visited. Application development to help find the best route is very much needed by tourists. The best route search optimization can be done using Genetic Algorithms. Genetic Algorithms are often used in determining the route because based on previous research it produces optimal results. Weighting for a path can be done using the Simple Additive Weighting Algorithm. In this study optimization of route selection is done in the hope that it can provide solutions to tourists in route selection.