Judul: Temu Kembali Informasi Pada Tag ID3 File MPEG Layer-3 (MP3)
Abstrak: Searching song based on text data was easily done, but it wasn’t happen if the searching process refers to file info on ID3. Almost all of web-based retrieval only relies on data from database or filename. It causes difficulties in searching audio files on the internet. This research implements an information retrieval system that can search on the ID3 of MP3 files and evaluates the system performance on returning relevant answers. This research uses 182 MP3 file consists of various sizes and genre Indonesian songs as data test and 5 queries. On this research both lyrics and queries have been stemmed using Kamus Besar Bahasa Indonesia (KBBI) stemmer. The tf.idf weighting and sum of tf.idf are used for returning the result. The sum of tf.idf is based-on standard tf.idf that sum of each keyword on the query. Analysis of the results is conducted by several k-top documents. The result shows that information retrieval on the ID3 MP3 files can be done and the result using stemmer is better than that of without stemmer. MAP value where k = 10 with stemmer is 0.27, whereas without using stemmer is 0.25. For the next k, where k = 15 with stemmer the MAP value is 0.39, while without using stemmer 0.19, last with k = 20, the value of MAP with using stemmer is 0.62, while without using stemmer is 0.15 . The MAP values show that using stemmer is better than the MAP without stemmer, it’s because the use of stemmer can reduce the term variation in order to increase the recall value.
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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: Dosis minimum vaksin Newcastle disease lassota untuk menggertak pembentukan zat kebal proteksi pada ayam
Abstrak: Penelitian ini bertujuan untuk menentukan dosis minimum vaksin ND Lasota yang diperlukan untuk menggertak pembentukan zat kebal (antibodi) yang dapat melindungi hewan dari infeksi virus ganas dialam. Selain itu diperiksa juga gambaran zat kebal induk bawaan ("maternal antibody") dan titer vaksin yang digunakan. Penelitian dilaksanakan di laboratorium Virologi Fakultas Kedokteran Hewan, Institut Pertanian Bogor selama empat bulan dari bulan Pebruari 1987 sampai bulan Mei 1987. lasil penelitian ini menunjukkan bahwa vaksin dengan dosis 106.3 EID50 dapat menggertak pembentukan zat kebal yang dapat melindungi ayam terhadap infeksi alam secara menyeluruh (100%). Zat kebal induk bawaan masih ditemukan sampai anak ayam berumur 3 minggu walaupun tingkatnya rendah dan tidak bersifat proteksi. Titer vaksin yang digunakan adalah 109.3 EID50 setiap ml.
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