ABSTRACT

Mundzir, An Internet Agent Service Application on the Search Engine Development   (supervised by Rhiza S. Sadjad and Zahir Zainuddin).

In this research project the concept of Internet Agent Service is implemented in the crawling process with Breadth-First algorithm of a search engine. A parsing technique called the Information Retrieval System (IRS) is also accomodated to exclude unnecessary symbols, connecting words and single digit characters from the indexing scheme to make the search engine more efficient and effective.

The search engine system in this project is developed using the multi-tier architecture with the approach of the concept of agent consisting of two parts, i.e. the search agent and the software agent. The search agent is developed to be accomodated with the searching process within the database, and the software agent is an internet agent to do the crawling process of the sites.

The indexing system in a search engine without the IRS requires a larger file. For example, a search of http://www.ikastikom.net/ has created a database file of 2.925 Kb without the IRS, and only 2.700 Kb with it. The search of a keyword “alumni” in the location, for instance, takes 18,71 seconds without any indexing system, and only takes 0,02 seconds to produce 143 links. A test of searching 10 keywords has saved 1.161 seconds using the indexing system as compared to the same searching without using it.