Judul: Pemodelan Support Vector Machine untuk Klasifikasi Bakteri Patogen dan Non Patogen Berdasarkan Data Sekuens Genom
Abstrak: Bacteria are microorganisms that can be divided into two domains, pathogenic (harmful bacteria) and non-pathogenic bacteria (bacteria are harmless). The purpose of this research is making modeling clasifications of pathogenic bacteria and non pathogenic based on the sequence genom and test the effect of kernels and fragment length of the accuration result. The genome sequence obtained from NCBI with long fragments 100 bp, 400 bp, 800 bp, 1000 bp, and then 5000 bp extraction features done using methods K-Mers and methods of Support Vector Machine (SVM) with 3 main kernel, that is Linear, Radial Basic Function (RBF) and a Polynomial as a method of classifier. From this process, 5000 bp fragment length is obtained with RBF is the highest accuracy reached 96.61%
Keyword: Bogor Agricultural University (IPB), SVM, pathogenic, non pathogenic, K-Mers

Judul: Klasifikasi Fragmen Metagenome Menggunakan Metode Support Vector Machine (SVM)
Abstrak: Metagenome analysis is one of the most important bioinformatics field. This field is related to genome which is taken directly from the environment. The purpose of this research is to classify metagenome fragment into some taxonomic levels using support vector machine (SVM) method. Feature extraction is performed using spaced k-mers. Classification process is conducted by creating model using the training data from 381 organisms. The evaluation results show that the accuracies for short fragments (400 bp) are 65.3% and 82.1% at genus level and phylum level, respectively. Meanwhile, the accuracies increase significantly for long fragments (10 kbp), with a value of 95.4% at genus level and 97.6% at phylum level. It can be stated that the accuracy will be increased with the increasing of fragments length and higher taxonomic levels. In addition, the results of the study also conclude that the feature extraction methods used was very good and produce data with linearly separable conditions.
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Judul: Strategi Penentuan Permintaan dan Harga sebagai Salah Satu Target Pengukuran Kinerja Pemasaran Produk Kayu Lapis Indonesia ke Jepang
Abstrak: Dari sekian banyak negara tujuan ekspor kayu lapis Indonesia, Jepang merupakan salah satu negara tujuan ekspor terbesar Sekitar 25% ekspor kayu lapis Indonesia ditujukan ke pasar Jepang Jepang merupakan negara tertinggi pengimpor kayu lapis Dari berbagai negara yang mengekspor kayu lapis ke Jepang, Indonesia menempati sekitar 84% dari total impor kayu lapis Jepang Sebagai negara pengekspor kayu lapis utama, Indonesia mampu meraih pangsa pasar yang cukup dominan di pasar kayu lapis Jepang Sebagai market leader (pemimpin pasar) kayu lapis di pasar Jepang, Indonesia seringkali sulit mempertahankan posisi sebagai pemimpin harga pasar kayu lapis Kurangnya informasi mengenai perkembangan permintaan, penyaluran dan harga kayu lapis di Jepang menyebabkan Indonesia tidak mampu mengantisipasi perubahan pasar yang tejadi Selaku pemimpin pasar kayu lapis, Indonesia seharusnya dapat menjaga agar harga kayu lapis di bawah kendali Indonesia Dengan mengendalikan harga kayu lapis di Jepang berarti Indonesia sudah dapat mengendalikan harga kayu lapis duma
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