IMPLEMENTASI VECTOR SPACE MODEL (VSM) UNTUK TEMU KEMBALI INFORMASI WEB DAN PENGELOMPOKAN HASILNYA

• Main Authors: , Ferry Teguh Setiawan, ST., , Dr. Ahmad Ashari, M.Kom.
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2011
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/88298/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=50428
• Institution: Universitas Gadjah Mada

The problems faced by a seeker of information via the internet today is not the lack of information but too much information available, even though sometimes the availability of such information has not been obtained in accordance with the wishes. Therefore we need a system that can find the information through the website according to relevance (similarity) desired by the user. Clustering the document, the result of the process of information retrieval based on similarity, before they are displayed to the user (users) are expected to increase the effectiveness of web users in search of documents. Data representation model for the indexing of documents using inverted index model, implemented using Lucene Library with the Java platform, including the process of stemming in the Indonesian language, expected to improve the performance results of the implementation of information retrieval, which is measured based on recall-precision value and obtained value of 0.6 for the Fmeasure. K-Means algorithm as a clustering partition model and Bisecting K-Means as a combined model Hierarchical (divisive) and partition, used for grouping of documents as a result of the implementation process of information retrieval, the quality of clustering is measured by the external method that is F-Measure and internal method Intra-Cluster Similarity Technique (IST). Collection of web documents that will be used for testing were taken from Indonesian language news portal site in the category of economics, business and financial district with 26.240 the number of pages as html documents. From the test results of FMeasure value for both methods are relatively the same at 0.75, but for the IST is difference, Bisecting K-Means method to achieve the best IST value is 0.8 at 10% and K-Means only reached 7%.