Judul: Information Retrieval for RSS News Document in Bahasa Indonesia.
Abstrak: RSS (Really Simple Syndication) is a language derived from XML (Extensible Markup Language). The use of RSS as a syndication on Indonesian news sites has become widespread, as well as a syndicated news by news websites will continue to evolve in time, so it requires a search facility that can return information that explore the RSS data efficiently and effectively. Several studies have been conducted related to information retrieval, one of it was developed by Rahman (2006) which measured performance and compared the equality of returned XML document. This research tries to implement the information retrieval using VSM (Vector Space Model) to build an RSS search facility and to analyze and compare the effects of the use of additional title weighting with normal weighting. Test results show that the use of the normal weighting performs better than the use of weighting in the title. This is explained by the average precision value gotten from the test. At recall levels between 10% until 30% the average precision has the same value, at recall level 60% the average precision value of title weighting is higher than normal weighting, but between 40%, 50%, 70% until 100% the normal weighting precision is greater that of the title weighting. Keywords: Information Retrieval, RSS, Vector Space Model.
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Judul: Studi Komparatif Pembobotan Kata untuk Temu Kembali Informasi Dokumen Bahasa Indonesia
Abstrak: One of the classical models of Information Retrieval (IR) systems is the vector space model. Vector in this model represents the weight of terms contained in the documents and queries. A term can be a word, a phrase, or a unit in a document describing the context of the document. Since each term has a different level of importance in the document, weighting is needed. The commonly used weighting method is TF-IDF (Term Frequency Inverse Document Frequency). Previous research indicates that the distribution of term weighting follow the Poisson distribution, hence a method called RIDF (Residual Inverse Document Frequency) was developed. Other weighting methods by considering the query is called Query Term weighting. Both of the latter methods has not been implemented for documents in Indonesian. This research implements the methods TF-IDF, RIDF and Query Term Weighting on search engine for documents in Indonesian. The result of this research is a search engine with an average precision of 63,9%.
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Judul: Closed Knight’s Tour pada Papan Catur Berbentuk Persegi Panjang dengan Ukuran Maksimal 8 × 8
Abstrak: Closed Knight’s Tour merupakan langkah kuda yang mengunjungi setiap kotak pada papan catur tepat satu kali dengan langkah kuda berawal dan berakhir pada kotak yang sama. Graf yang terbentuk dari closed knight’s tour dinotasikan sebagai graf G(m,n), dengan m adalah banyaknya baris dan n adalah banyaknya kolom. Graf tersebut memuat Hamiltonian cycle. Sebuah graf terhubung G adalah graf bipartite jika dan hanya jika graf tersebut tidak memiliki cycle dengan panjang ganjil. Papan catur yang memenuhi syarat cukup untuk memiliki closed knight’s tour adalah papan catur berukuran 5 × 6, 5 × 8, 6 × 6, 6 × 7, 6 × 8, 7 × 8, dan 8 × 8.
Keyword: bipartite, closed knight’s tour, hamiltonian cycle, knight’s tour, teori graf