Judul: Klasifikasi Dokumen Menggunakan Background Smoothing
Abstrak: Naïve Bayes Classifier (NBC) is one of the methods for text or document classification. A common problem that often occurs on NBC method is data sparsity, especially when the size of training data is too small. One way to handle the sparsity problem is to use background smoothing technique. The aims of this research are to look at the background smoothing effect on short and long query, and to compare it with NBC on small training data. In this research, we use documents from the Agricultural Research Journal of horticultural domain. The results indicate that the accuracy of document classification on NBC+Background Smoothing is 92.3%, not significantly different from that obtained using only NBC. Improvement of the accuracy is only 1.78% from the results obtained on NBC. However, the results of the classification with NBC+Background Smoothing has been able to properly classify documents of Agriculture Research Journal at horticultural domain, so that it can be used to organize documents much easier for users to find information related to the documents.
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Judul: Klasifikasi Dokumen Menggunakan Background Smoothing
Abstrak: Naïve Bayes Classifier (NBC) is one of the methods for text or document classification. A common problem that often occurs on NBC method is data sparsity, especially when the size of training data is too small. One way to handle the sparsity problem is to use background smoothing technique. The aims of this research are to look at the background smoothing effect on short and long query, and to compare it with NBC on small training data. In this research, we use documents from the Agricultural Research Journal of horticultural domain. The results indicate that the accuracy of document classification on NBC+Background Smoothing is 92.3%, not significantly different from that obtained using only NBC. Improvement of the accuracy is only 1.78% from the results obtained on NBC. However, the results of the classification with NBC+Background Smoothing has been able to properly classify documents of Agriculture Research Journal at horticultural domain, so that it can be used to organize documents much easier for users to find information related to the documents.
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Judul: Biologi Reproduksi Ikan Kuniran (Upeneus sulphureus Cuvier, 1829) di Perairan Selat Sunda.
Abstrak: Ikan kuniran (Upeneus sulphureus) merupakan salah satu ikan demersal yang memiliki nilai ekonomis penting. Tingginya tingkat permintaan mengakibatkan upaya penangkapan semakin meningkat dan dikhawatirkan populasi ikan kuniran di perairan Selat Sunda menurun. Tujuan penelitian ini adalah mengkaji reproduksi ikan kuniran di perairan Selat Sunda, sebagai salah satu dasar untuk merumuskan pengelolaan sumberdaya ikan kuniran yang lebih tepat dan berkelanjutan. Penelitian ini dilaksanakan pada bulan Mei hingga September 2016. Metode yang digunakan dalam pengambilan ikan contoh adalah penarikan contoh acak sederhana. Nisbah kelamin ikan kuniran jantan dan betina adalah sebesar 1:0,8 atau didominasi ikan jantan. Potensi reproduksi ikan kuniran kisaran 9 000-160 000 butir telur untuk setiap individu betina. Musim pemijahan ikan kuniran diduga terjadi selama periode pengamatan dengan puncak pemijahan terjadi pada bulan Juni. Tipe pemijahan ikan kuniran adalah total spawner. Ikan kuniran diduga pertama kali matang gonad pada ukuran panjang 15,74 cm untuk jantan dan 20,60 cm untuk betina.
Keyword: ikan kuniran (Upeneus sulphureus), reproduksi, Selat Sunda