Designing Package Travel in Ex-Surakarta Region with Semantic Trip Planning
View/ Open
Date
2014-12-04Author
PZ, Rosleini Ria
Wahyudi, Adhie Tri
AW, Bagus Ismail
Metadata
Show full item recordAbstract
Planning your tour will lead to improper waste costs
and travel time which can lead to failure of tourism planning has
been prepared. Preparation of a tourism plan with attention to
the linkages formed an attraction to other attractions, the
location of attractions, many attractions to be visited on the costs
involved, and the many attractions to be visited on the
availability of time for sightseeing.
This study aims to build a smart website designing package tours
that will visit for travelers candidates based on factors that have
been mentioned. The study focused on the use of semantic web
technologies to build planning travel package in the ex-residency
of Surakarta.
Prototyping of research methods used to complete this research.
This study began with an analysis of the existing system and also
to collect data on the needs of potential tourists when making a
tour itinerary. After the analysis, then formed the design of a
model-based system of semantic web, namely travel package
planning system in the ex-residency of Surakarta. The semantic
model is constructed as a data representation attractions in the
ex-Surakarta residency combined with secondary data from
relevant agencies, such as the data restaurants, hotels, distances,
coordinates the Global Positioning System (GPS) and other
tourist sites. The data obtained were combined with Djikstra
algorithm to obtain the route plan your tour.
Models created a prototype or blueprint as a base development
system. The system is built capable of displaying full information
on travel plans in the area of the former residency of Surakarta,
including tourist sites, related facilities such as hotels,
restaurants once the tariff in accordance with the data obtained
from the department of tourism. Planning trips made by tourists
are generated based on the budget that is owned and tourist sites
were selected.