Judul: Mempelajari Pemurnian Kitin Diasetilase dari Bacillus sp. 13.26 Asal Tompaso,Manado
Abstrak: Kitin merupakan salah satu polimer karbohidrat yang dapat diperoleh dari berbagai serangga, jamur, ganggang, dan organisme invertebrata lainnya yang terdapat di laut. Kitosan merupakan biopolimer karbohidrat hasil deasetilase kitin yang bersifat polikation pada gugus amin yang dapat digunakan sebagai flokulan pada pengolahan limbah dan sebagai komponen pembangun pada produk perawatan kulit dan rambut, sebagai anti tumor dan hipokolesterolemik, berkarakteristik dapat didegradasi secara biologis, tidak beracun, ramah lingkungan, larut dalam asam, mudah dibentuk. Enzim pemodifikasi kitin adalah kitin deasetilase (CDA)yang merupakan enzim yang mengkatalisa hidrolisis kitin menjadi kitosan dengan mendeasetilasi N-asetilkitooligosakarida. Enzim pendegradasi dan pemodifikasi kitin dapat dihasilkan dari mikroba yang merniliki kemampuan mendegradasi dan mernodifikasi kitin dengan enzim yang dihasiJkannya. Penelitian ini dilakukan untuk rnempelajari tahapan pemumian enzim pemodifikasi kitin, yaitu kitin deasetitase yang dihasilkan dari Bacillus sp. 13.26, yang berasal dari daerah geotermal di Tompaso, Manado.
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Judul: Analisis Elektroforesis Enzim-enzim Kitilonik Dari Bakteri Termofilik Asal Manado
Abstrak: Produksi kitin diperkirakan 10 pangkat 10 - 10 pangkat 11 ton setiap tahunnya sehingga proses degradasi kitin merupakan hal yang penting uotuk mencegah penimbunan karbon dan nitrogen secara global. Degradasi kitin dapat dilakukan olelt organisme kitinolitik dengan melibatkan enzim kitinase. Organisme kitinotitik tennofil saat ini Iebih banyak digunakan untuk aplikasi dalam industri. Kawasan hidrotermal Tompaso,Manado merupakan salah satu tempat isolasi organisme tersebut. Mikroorganisme yang berhasil diisolasi dari kawasan iui diantaranya adalah Bacillus sp. 13.26 dan Bacillus Iichenifornris MB-2.
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Judul: The Effects of Variance of Interest rate to Variance of Annuity Future Values
Abstrak: Time value of money is a concept that refers to the difference of the value of money due to time difference. The value of money for present time would not be the same as the value of money in the future. The value of money for present time is called as Present Value (PV) of the money and the value of money for future time is called Future Value (FV) of the money. Determination the value of money, for present and future time, depends on the time and rate of return. The value of money is determined by several factors such as inflation, fluctuation of interest rates, and government policy in securities and taxation. Due to fluctuation of the value of money we need a FV formulation, it is useful for knowing whether an investment can be profitable or not, and this information is useful also in budget analysis. Annuity is defined as a series of payments made for a specific period. The payment, fixed or varied, can be made at the beginning or at the end of the period. Annuity paid at the beginning of the period is called annuity-due and annuity paid at the end of the period is called immediate annuity-certain. The accumulated value of the annuity after few years later is called as a final value or a future value. Burnecki et al. (2003) have discussed about the FV of a fixed-rate annuity in which payments are made according to the arithmetic or geometric series. They have also examined FV for annuities in which payments are made according to arithmetic or geometric series with random rates of interest. This paper examines FV for annuity-due in which payments are made according to arithmetic or geometric series with interest rates as a random variable, which is normal distribution ,  . Future value formula is expressed in recursive form. FV for annuity-due which payments are made according to the arithmetic or geometric series with random rates of interest is calculated by theoretical way and simulation way. The random rates of interest is denoted as k k i  i  , where k i an independent random variable; i is a constant and k  is a random variable which has normal distribution ,  . By using the determined parameters, a sequence of random rates of interest are generated for theoretical calculation. Meanwhile for the simulation, the random rates of interest is generated 1000 times for the simulation. The generated data give mean value, variance, and standard deviation. Moreover, error of mean value, variance, and standard deviation from the theoretical and simulation results are calculated. Error calculation uses Symmetric Mean Absolute Percentage Error (SMAPE). The smaller the value of SMAPE is the more accurate the simulation. The interest rate variances are varied from 0.000036 to 0.0001 to study the relationship between variance of rates of interest and variance of future value. The theoretical and simulation results show that when the variance of random rates of interest increases, then the variance of FV increases linearly. FV of the annuity-due in
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