Judul: Visualisasi Kemiripan Karakteristik Antarvarietas Kedelai Menggunakan Algoritme Force Atlas
Abstrak: Information about characteristics of soybean is needed, especially in plant breeding so that the results will not produce similar varieties. However, the information is currently available in the form of text. It would be easier to use graphical visualization to find varieties that have similar characteristics, such as seed color and flower color. Hence, information visualization is required to aid user in understanding the information displayed. This study created a web-based interactive graph that represents soybean varieties with similar characteristics. The edges weights of 0.750 to 0.967 indicates similarity. This research used Force Atlas algorithm that can generate a clustering graph based on connectedness. Three clusters were formed based on the color of soybean. Soybean varieties were represented by nodes and the similarity of soybean characteristics were represented by edges. The larger the size of nodes, the more soybean that have similar characteristics.
Keyword: Bogor Agricultural University (IPB), soybean characteristic similarity, soybean, graph visualization, force atlas

Judul: Visualisasi Dinamis Keterhubungan Antarvarietas Kedelai Indonesia Menggunakan Mazza Reference Model
Abstrak: Informasi keterhubungan kedelai berdasarkan kemiripan karakteristik diperlukan agar dalam pemuliaan kedelai dapat tercipta keragaman varietas kedelai. Visualisasi memungkinkan seseorang untuk memahami data dalam jumlah besar dengan lebih cepat dibandingkan informasi teks biasa. Visualisasi yang ditampilkan merepresentasikan varietas kedelai yang memiliki karakteristik mirip. Hal ini ditunjukkan dengan nilai bobot kemiripan ternormalisasi dari 0 sampai 0.25. Bobot kemiripan didapatkan dari menghitung jarak Euclidean antarvarietas. Ukuran node pada graf merepresentasikan jumlah koneksi yang dimiliki suatu varietas, semakin besar ukuran suatu node menandakan semakin banyak varietas lain yang mirip dengannya. Warna node merepresentasikan potensi hasil dari suatu varietas kedelai. Mazza reference model digunakan sebagai dasar tahapan penelitian pengembangan model visualisasi. Hasil visualisasi ditampilkan pada website dengan menerapkan 6 teknik interaksi visualisasi. Evaluasi heuristik yang digunakan untuk menilai visualisasi yang telah dibuat menghasilkan nilai rata-rata yang dominan pada nilai keparahan 0 sebesar 70%.
Keyword: Kedelai, mazza reference model, visualisasi informasi

Judul: Truncated Stop Loss as a Optimal Solution of Reinsurance Agreement in One-Period Model
Abstrak: Reinsurance is one of risk management efforts of an insurance company, which is called the cedent. Similar with insurance, reinsurance constitutes the cedent to pay the premium. We consider one-period reinsurance model and derive a rule which minimizes the ruin probability of the cedent for a fixed reinsurance premium. Therefore, it is needed to construct an optimal reinsurance agreement for the cedent. The premium is calculated according to four different principles, i.e. economic, generalized zero-utility, Esscher, and mean-variance principles. Stop loss is a reinsurance contract which protect the insurance company for losses that exceed a certain amount. The result of this research shows that a truncated stop loss is an optimal agreement in the class of all reinsurance contracts with various premiums calculated using above mentioned principles.
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