Judul: Pemodelan Stokastik Pertumbuhan Penduduk di Kota Rembang dengan Mempertimbangkan Proses Kelahiran, Kematian, dan Migrasi
Abstrak: The Population growth can be determined using birth and death rates and also the factor of migration. Both birth and death proceses are considered within Poisson process. An increase of population level would decrease the land residence, the number of homes, and the job opportunities. Therefore, we need stochastic models to estimate the population level in the Rembang city, Central Java province. This study is to draw up a stochastic population growth model through birth, death and migration process to predict the level of population. The data are processed using the trend analysis and the merger methods. The result of stochastic modeling shows that the level of population in the city of Rembang in 2013 are 603784, and in the following year was 610895.
Keyword: Bogor Agricultural University (IPB), Poisson process., population growth, stochastic model, trend analysis

Judul: Models of Bogor Population Growth with Stochastic Approach
Abstrak: Pertumbuhan penduduk dapat dihitung menggunakan angka kelahiran, kematian, dan migrasi. Pertumbuhan penduduk mengakibatkan meningkatnya keperluan tempat tinggal dan permintaan lapangan pekerjaan. Oleh karena itu diperlukan model stokastik untuk memperkirakan tingkat penduduk di Kota Bogor, Jawa Barat. Penelitian ini bertujuan untuk menyusun model pertumbuhan penduduk Kota Bogor dengan pendekatan stokastik melalui proses kelahiran, kematian, dan migrasi sehingga dapat meramalkan jumlah penduduk yang akan datang. Hasil aplikasi model menunjukkan bahwa proyeksi jumlah penduduk Kota Bogor tahun 2020 sampai dengan 2025 berturut-turut sebesar 1126645, 1141856, 1157273, 1172897, 1188733, 1204782 jiwa dengan masing-masing selang kepercayaan 95% berkisar antara [1126644, 1126646], [1141855, 1141858], [1157271, 1157274], [1172895, 1172899], [11887331, 11887335], dan [1204780, 1204785]., The population growth causing the increase of housing need and job vacancy demands. Because of this, stochastic model is needed to predict the population growth in Bogor City, West Java. The intend of this research is to arrange models of Bogor population growth with stochastic approach through birth, death, and migration process in order to be able to predict population number in the future. The results of model application show that the projected population of Bogor City in 2020 to 2025 are respectively 1126645, 1141856, 1157273, 1172897, 1188733, 1204782 people with each of 95% confidence interval ranging from [1126644, 1126646], [1141855, 1141858], [1157271, 1157274], [1172895, 1172899], [11887331, 11887335], and [1204780, 1204785].
Keyword: Bogor City, population growth, stochastic modeling

Judul: Pemurnian dan karakterisasi protein inhibitor RNA helikase virus hepatitis C
Abstrak: Hepatitis C virus (HCV) infection is the second most common chronic viral infection in the world with global prevalence. This infection is contribution to chronic hepatitis and liver cirrhosis, often leading to hepatocellular carcinoma. There is no effective drug and vaccine available against HCV. The current standard treatment, a combination of pegylated interferon-α with ribavirin, is limited by its suboptimal response rate in a significant patient population, side effects, and affordability. Therefore, development of effective drug is needed. One approach to find out the candidate of antiviral drug is to discover the inhibitor of enzyme that essential for virus replication, such as RNA helicase. Streptomyces chartreusis 5-095 produce the inhibitor of HCV RNA helicase. The aim of this study was to purify the protein inhibitor which has inhibition activity against ATPase activity of RNA helicase HCV from S. chartreusis 5-095. The supernatant of culture S. chartreusis 5-095 exhibited high inhibiton activity against ATPase activity of RNA helicase HCV (approximately 72%) at 10 days of incubation. The extracellular protein inhibitor was partially purified by procedures of precipitation with ammonium sulfate to 65% saturation and gel filtration (Sephadex G50) using methanol water solution (4:6) as an eluen. The purity of protein inhibitor was monitored by SDS PAGE. The protein inhibitor showed a relative molecular mass were estimated to be 14 kDa and increased the purity 23,08 fold than those of the crude protein. The specific activity and IC50 after purification were 13,1338 U/mg and 0,0767 mg/mL, respectively. The activity of purified protein inhibitor showed its stability over pH range from 5-8 and optimum at pH 7,4. The inhibition activity showed its stability up to 70% at temperature 100 oC. The purified protein inhibitor relatively stable its activity at storage in the range of -20 oC to room temperature for 35 days.
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