Judul: Text Document Classification with Minor Component Analysis.
Abstrak: Document classification can improve information retrieval process by decreasing the search time and increase the relevance of the results. Many classification algorithms have been developed, e.g., Naïve Bayes Classifier, Nearest Neighbor, Principal Component Analysis, and Minor Component Analysis (MCA). This research investigates the performance of MCA in classifying text documents in Bahasa Indonesia. MCA has been applied for image classification, but has not been widely used in text classification. The dataset used in this research contains 750 documents from Media Indonesia Online, consisting of five classes, i.e., economics, education, crime, environment, and badminton. This research also observes the influence of stemming and stoplist in preprocessing to the classification performance. The experiment results show that MCA achieves more 90% accuracy and the preprocessing methods do not have significant effect to the performance. Keywords: document text classification, minor component analysis.
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Judul: Classification of Documents in Bahasa Indonesia using DCS-LA with Inverse Distance Weighting
Abstrak: Dynamic Classifier Selection with Local Accuracy (DCS-LA) is a document classification method that combines several classification methods and k-NN. In this study, we implemented the DCS-LA with Inverse Distance Weighting for documents writen in Bahasa Indonesia as well as comparing between the DCS-LA with Inverse Distance Weighting and DCS-LA without Inverse Distance Weighting. We used four classifiers: Rocchio, Naïve Bayes, Bernoulli, and Poisson Naïve Bayes as classifiers in the DCS-LA. For the data, we used agriculture documents consisting of 174 training documents and 75 test documents, and news documents consisting of 500 training documents and 250 test documents. This method can yield an accuracy of 66% and 96% for agriculture documents and news documents, respectively. Without Inverse Distance Weighting, DCS-LA only yields an accuracy of 56% and 86% for agriculture documents and news documents, respectively. Therefore, Inverse Distance Weighting can improve the accuracy of the DCS-LA in classifying text documents in Bahasa Indonesia.
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Judul: Pengaruh vaksin aktif dan inaktif terhadap kekebalan dalam pencegahan penyakit newcastle pada ayam
Abstrak: Penyakit Newcastle adalah penyakit yang bersifat infeksius dan kontagius yang menyerang unggas terutama ayam dan kalkun; menimbulkan kematian, penurunan produksi dan kwalitas telur sehingga menimbulkan kerugian ekonomi yang besar; disebabkan oleh paramyxovirus yang termasuk ke dalam golongan virus yang berinti asam ribonukleat. Virus penyebab penyakit ini terdiri atas beberapa galur yaitu velogenik, mesogenik dan lentogenik. Vaksinasi adalah salah satu cara untuk mencegah timbulnya penyakit dan kerugian yang ditimbulkannya. Vaksin terdiri atas vaksin aktif dan inaktif atau vaksin dalam emulsi minyak. Vaksinasi pada umur dini adalah cara yang paling baik dilakukan. Umur ayam yang tepat mulai dilaksanakan vaksinasi adalah pada umur 4 hari, karena pada saat ini titerantibodi asal induk sudah mulai turun dan kondisi ayam sudah mulai kuat untuk dilakukan vaksinasi jika melakukannya pada ayam umur sehari. ...
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