Judul: Analisis Faktor-Faktor yang Memengaruhi Produk Domestik Regional Bruto per Kapita di Indonesia
Abstrak: Wealthiness is the goal of human development in the world. The achievement of human development has been the center of attention of administrators. The United Nations (UN) provides a standard measure of human development, namely the Human Development Index (HDI). This index is formulated based on three dimensions, namely the dimension of life expectancy, knowledge and decent living. However, this paper discusses only one dimension, namely the dimension of decent living, especially GDP per capita according to the business sectors of various provinces in Indonesia. The purposes of this paper are to explore the Indonesian GDP data in 2008 using biplot, to determine the best form of relationship between GDP per capita and the business sectors in Indonesia, to analyze multicollinearity problem, and to determine the best equation model of the relationship with multiple regression analysis. The results of the exploration are as follows. The biplot can explain 84,98% of total data variability. The biplot graphic shows that Jakarta is the province with the highest GDP value in all sectors. Based on the predictions of VIF (Variance Inflation Factor), it is found that three variables have the lowest value, which indicates that the variables are free from multicollinearity. The three variables are agriculture, mining, and electricity.
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Judul: Pemetaan Provinsi di Indonesia Berdasarkan Produk Domestik Regional Bruto Menggunakan Analisis Biplot
Abstrak: Government has a responsibility for maintaining welfare development of its people. One of the indicators that can be used to measure human development is the human development index (HDI). This index was created based on three dimensions, i.e. dimension of life expectancy, knowledge and standard of decent living. This paper provides an overview of mapping the provinces based on independent sectors of business field. The provincial mapping is done using biplot analysis. Biplot analysis presents a low-dimensional graphical display, which describes relationship between high-dimensional variables and objects. Provincial mapping can be used to obtain an overview of development between provinces. The result of biplot analysis is able to explain 85.22% information contained in the data, which is called its goodness of fit. Based on the biplot visualization, five groups of provinces are obtained. In the first group, Jakarta has a value above average on the financial sector. On the second and third groups, the agricultural sector contributes significantly to gross regional domestic product. Meanwhile, in the fourth group, Riau and East Kalimantan are the biggest contributor to the trade sector. Finally, in the fifth group, all of the provinces have gross regional domestic product value below the average in all sectors.
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Judul: Infeksi Virus Parainfluenza Pada Anjing
Abstrak: Virus parainfluenza anjing termasuk famili Paramyxoviridae, berbentuk pleomorf dengan ukuran bervariasi (bergaris tengah antara 100-500 nm), berpembungkus peka ether, berisi genom RNA dan secara serologis mempunyai kesamaan dengan virus SV-5 kera; dikenak sebagai salah satu kausa penting dari sindrom "kennel cough". Infeksinya dapat mengenai anjing semua umur yang belum pernah terinfeksi atau mendapatkan vaksinasi mengakibatkan gejala klinis ringan yang terbatas pada traktus respirasi atu infeksi yang secara klinis tidak memperlihatkan gejala nyata. Gejala klinis yang nampak setelah masa inkubasi (1-5 hari) terlewati berupa batuk yang tidak berat selama beberapa hari, berbagai tingkat tonsilitis dan pharyngitis dan kadang-kadang ditemukan kenaikan temperatur rektal antara 1-2 derajat C dari temperatur normal rat-rata. Anjing terinfeksi mengandung virus pada traktus respirasi bagian atas dan bawah serta limfonoduli sampai hari ke 9 setelah infeksi. Penyebaran virus antar anjing terjadi secara aerogen.
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