Search Engine Application Using Fuzzy Relation Method for E-Journal of Informatics Departement Petra Christian University

Nowadays, scientific articles are easily obtained, because many researchers who conduct research discover new things. However, the increasing number scientific articles is not accompanied by the availability of applications to assist in the search for relevant articles. Today, available search engine applications perform only a search process based on string matching of search terms. In this research, a search engine application based on keyword relevance by using fuzzy relationship was developed.
This search engine application is built using PHP programming language and mysql as its database. Windows XP is used as the operating system. The used methods in fuzzy relationship are keyword used to paper, paper to paper, and paper to keywords and keyword to keyword. In addition, the components use d to convert pdf files into plain text format.
Based on the results of experiments conducted, the process of searching for the 25 articles takes less than 5 seconds. For the indexing process, it is influenced by the number of pages per article.