Pencarian Dokumen Berbasis Web pada Drive Lokal dan Off-line Web dengan Menggunakan Metode Suffix Tree Clustering

With the richer of language and many collections of text documents, the search system is very important. But most of search engines do not give satisfaction in finding the information. Users sometimes have to do twice work with another sort of documents that have been sought in a long list. It will certainly take time. Many methods are developed for the search process, one of them uses clustering model to classify documents according to the desired results. In this thesis, the author uses the method of Suffix Tree Clustering. The results obtained are digging deeper into the information, more concise, effective and no need in long time. The author performs the process of importing file in advance, and then will be process it offline. This avoids search of structured documents based on ranked matches in a long list. This means do not treat the document as a set of words but as a string.Likewise, according to Quals Report (Journal) entitled "Fast and Intuitive Clustering of Web Documents" by Oren Zamir (1997), it states that the search data on a local drive or a weboffline that is generally only file names that can be searched. Users are required to find more details by themselves as well as the need to open the file, so that the search process is often long 2and tedious. Based on the description above, the author entitles "The Web-Based Document Search Local Drive and Off-line Web Method Using Suffix Tree Clustering".