OPTIMASI PENCARIAN DATA MENGGUNAKAN TEXT FILTERING DAN ALGORITMA JARO WINKLER

Abstract

This research tries to provide an alternative for data search optimization. Comparative testing of this research is query optimization which uses Jaro Winkler algorithm for sorting based on high similarity. Testing data in the form of a description of the condition of a product is taken from the internet. The process starts by entering search keywords. Then do a query from the database. The results of the query, words that are not the same as the search keywords are discarded (text filtering), then similarity measurements are performed using the Jaro Winkler algorithm. Then sorted according to the greatest similarity value. The keywords used range from 1 to 5 words whose arrangement is engineered to approach the desired data and some have been randomized. Overall based on the test results that the results of optimization of data search by removing words that are not the same when the similarity measurement has an increase in the similarity value and on the presentation of the query results will be placed higher (descending) based on a large similarity value. Keywords whose order tends to be random and not the same will have a lower similarity value if without going through the disposal of different words.