Indonesian document retrieval using vector space method

The rapid development of technology resulted in the extensive information distribution. It takes a system that can organize a set of information and simplify information search. The concept of retrieval system can simplify information search process. Current studies on information searching are dominated by documents in English, yet very few about documents in Indonesian. Therefore this study focuses on document search in Indonesian language using vector space method. The vector space method processes data already in the index to calculate the value of similarity with the user-provided query. The result is a list of ranked and relevant documents to the user-provided query. The performance results obtained by the system were the average value of precision 0.45, recall 0.96, and f-measure 0.54. The system produced a high recall value compared to precision in the document search process. This study shows that the vector space method is able to search and produce relevant documents.