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: Karakteristik Kayu Jati Inti Umur 8 Tahun Asal Pulau Muna.
Abstrak: Kayu jati, termasuk jati Muna, hingga saat ini digunakan sebagai bahan baku mebel bermutu tinggi. Ketersediaannya yang semakin terbatas dan semakin mahal mengakibatkan dikembangkannya bibit jati cepat tumbuh yang berasal dari pohon plus yang dipaparkan sinar gamma (jati inti). Penelitian ini bertujuan untuk mempelajari karakteristik kayu jati inti umur 8 tahun asal Pulau Muna. Contoh uji berupa disk dan papan dari bagian pangkal tiga batang pohon jati dengan diameter yang berbeda. Sifat yang diuji meliputi struktur anatomi dan beberapa sifat fisis-mekanis. Hasil penelitian menunjukkan bahwa struktur anatomi kayu jati inti relatif sama dengan struktur anatomi kayu jati pada umumnya, namun porsi terasnya tergolong tinggi (73.41%). Kadar air (KA) kayu kondisi segar (74.05%) lebih rendah dari KA kayu jati cepat tumbuh yang seumur. Kayu lebih stabil (T/R rasio = 1.23) dibandingkan kayu jati pada umumnya, namun berat jenis (BJ)-nya (0.52) lebih rendah dari BJ kayu jati tua. Sifat mekanisnya lebih tinggi dibandingkan sifat sejenis pada kayu jati cepat tumbuh, tetapi lebih rendah dibandingkan dengan yang terdapat pada kayu jati tua. Berdasarkan nilai BJ kayu, maka kayu jati inti Muna ini masuk ke dalam Kelas Kuat III.
Keyword: Jati inti, Pulau Muna, sifat fisis, sifat mekanis, struktur anatomi