Tourist guide expert system for Sarawak / Heldie Anak David

David, Heldie (2007) Tourist guide expert system for Sarawak / Heldie Anak David. Degree thesis, Universiti Teknologi MARA.

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Abstract

Sarawak is the one of tiie biggest state in Malaysia, endowed with the worids' richest
and most diverse ecosystem make it becomes one of the famous tourism destination
around the worid. The problem is to recommend a suitable destination based on the
interest and preference of the tourist. The weaknesses of current e-tourism application
are its complexity in products and services they advertised. With the large quantity of
information, tourist foimd it is hard to fmd destination that truly match with their
interest and preference. Therefore, Tourist Guide Expert System will help the tourist to
fmd destination that suitable with them. The objective is to find the characteristics of
problem that affect decision making process, to apply Rule-Based Expert System
technique in decision making and develop system that recommend destination to tourist
based on their interests and preferences. Rules are produced as to represent the
knowledge and converted into computer system using HTML and ASP as to provide a
Web-based environment. The result of this project is rules that represent the knowledge
and recommended destination for tourist. As the conclusion, this prototype system can
be considered as a success development due to its ability to meet the objectives that has
been set in early phase of project development. However, some improvement can still
be made for the fixture expansion. Tourist Guide Expert System (For Sarawak) is a
great application for solving the tourism problem that faces by most tourists.

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Item Type: Thesis (Degree)
Creators:
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David, Heldie
UNSPECIFIED
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Travel. Voyages and travels (General) > Travel and state. Tourism
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Item ID: 1487
URI: https://ir.uitm.edu.my/id/eprint/1487

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