Judul: Klasifikasi Dokumen Bahasa Indonesia Menggunakan Metode Semantic Smoothing
Abstrak: The first supervised learning method for document classification is Naive Bayes classifier. A common problem that often occurs on simple methods like Naive Bayes is data sparsity. This problem especially occurs when the size of training and testing data is too small. Smoothing technique is a method for handling the sparsity problem, one method from smoothing technique is Semantic Smoothing. Document Agricultural Research Journal of holticulture domain is used for this research, this document contains of three classes. The average for accuracy of document classification on Semantic Smoothing is 92.88%. Results of the classification with Semantic Smoothing has been able to classify document of Agriculture Research Journal at holticulture domain.
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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: Transisi Fasa Materi Hadronik ke Materi Kuark pada Inti Bintang Neutron.
Abstrak: Bintang neutron terdiri dari beberapa lapisan yang disusun oleh materi nuklir yang berbeda dengan kerapatan yang semakin tinggi ketika mendekati pusat bintang. Inti luar bintang neutron disusun oleh materi hadronik (nukleon, lepton, dan hyperon), sedangkan inti dalam bintang neutron disusun oleh kuark-kuark bebas (up, down, strange) yang saling berinteraksi. Tujuan penelitian ini adalah mempelajari bagaimana transisi dari inti luar ke inti dalam bintang neutron dengan menggunakan pendekatan RMF (Relativistic Mean Field) untuk materi hadronik dan CIDDM (Confined Isospin Density Dependent Mass) untuk materi kuark. Tekanan transisi diperoleh ketika potensial kimia barion materi hadronik dan materi kuark bernilai sama. Nilai tekanan transisi dengan parameter SU6-TM1 sekitar 87 MeV/fm3 dan diperoleh massa maksimum bintang neutron yaitu 1.92M dengan jari-jari sekitar 8.62 km. Nilai tekanan transisi dengan parameter SU6-G2 sekitar 53 MeV/fm3 dan massa maksimum bintang neutron yaitu 1.88M dengan jari-jari sekitar 8.16 km. Jenis transisi fasa adalah orde satu ditandai dengan diskontinuitas dalam kerapatan energi (adanya mixed phase). Parameter-parameter pada model nuklir yang digunakan menyebabkan perbedaan kekakuan persamaan keadaan (EOS) dari materi hadronik dan materi kuark sehingga nilai tekanan transisi dari fasa hadronik ke fasa kuark juga berbeda.
Keyword: bintang neutron, persamaan keadaan, transisi fasa