Judul: Pseudo-Relevance Feedback on Retrieval Using Document Segmentation.
Abstrak: Web is the largest information source in the world, but the storage and effective information retrieval on the web is still a problem in this day. Pseudo-relevance feedback is automatically local analysis technique (relevance feedback technique without explicit input user). This technique takes the top n-ranked documents as the relevant documents and takes the top x-ranked terms from relevant documents. Basically, a document consist of any topics, so in the research, relevant documents substituted by a segment which represents a topic in the relevant document. The segment is taken by XML document tag, are <TITLE>, <AUTHOR> and <P> tag, since the text from those tags are usually represent a document. The visual block extraction phase (first step in VIsion based Page Segmentation algorithm), used in segmented the document, so the title of the research is Pseudo-Relevance Feedback on Retrieval Using Document Segmentation. This research done in six phases, there are retrieval initialization, document segmentation, segments selection, terms selection, final retrieval and retrieval output evaluation. The result of system performance is good, that is 0.5214. The test results show that the performance of the PRF based segmentation of documents and without PRF retrieval was not found significant differences. It is because of the taken documents and segments for expansion terms selection are not relevant, expanded queries are not exact representing the segment, the member of documents that are used in retrieval is relatively small, that are 1000 documents. Keywords: pseudo-relevance feedback, relevance feedback, page segmentation, text processing.
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Judul: Positional Relevance Model untuk Pseudo Relevance Feedback pada Sistem Temu Kembali Berbahasa Indonesia
Abstrak: In document retrieval, it is difficult to user to choose a proper query in order to get relevant information. This problem can be solved by reformulating the query. This research tried to improve the relevance of retrieval result by implementing positional relevance model (PRM) for pseudo relevance feedback (PRF) based on the proximity aspect and the position of a word in the document. The evaluation was conducted by calculating recall and precision. The results show that an 4.38% increase in precision and an 11% increase in recall have been obtained.
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Judul: Gejala klinis, patologi anatomi dan histopatologi dari ikan mas ( Cyprinus carpio L. ) akibat inokulasi bakteri Aeromonas hydrophila secara intra muskular ( IM )
Abstrak: PENDAHULUAN Terjadinya penyakit merupakan salah satu masalah dalam budidaya ikan, sedangkan penyakit pada ikan merupakan salah satu tanggung jawab profesi Kedokteran Hewan. Akan tetapi sampai saat ini masih sedikit sekali terungkap tentang penge tahuan ini. Oleh karenanya penulis mencoba melakukan penelitian laboratorium dengan obyek Ikan Mas yang diinokulasi dengan salah satu bakteri akuatik. Diharapkan penelitian ini dapat merangsang timbulnya minat para mahasiswa Kedokteran Hewan untuk mengungkap lebih jauh pengetahuan tentang penyakit pada ikan. TINJAUAN PUSTAKA Aeromonas hydrophila adalah bakteri akuatik yang dapat bertindak sebagai flora intestinal tanpa akibat patogenik pada ikan (Amlacher, 1970; Richards dan Roberts, 1978; Jawetz et al., 1982; Kabata, 1985). Pada kondisi ikan yang sehat bakteri ini tidak bersifat patogen. Tetapi bila terjadi stres, maka kemungkinan timbulnya penyakit adalah besar (Meyer, 1970; Bullock dan Mc-Laughlin, 1970; Kabata, 1985). Spesies ikan yang telah dilaporkan terserang meliputi ikan budidaya untuk konsumsi yaitu beureum panon, cakalang, gurami, lele, mas, nila, salmon, trout, tambakan, tawes dan mola. ...
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