Judul: Deteksi Penyebaran Gen CrylAc dari Kapas Transgenik  Kapas Bukan Transgenik Menggunakan Reaksi Rantai  Polimerase
Abstrak: Penelitian menggunakan biji kapas bukan transgenik yaitu Deltapine dan Kanesia 7 yang diambil dari lokasi penelitian kapas transgenik sebagai sampel dan biji kapas transgenik bdigard sebagai kontrol positif. Sampel diambil secara acak dengan jarak 2 - 16 meter dad tanaman kapas transgenik.
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Judul: Identifikasi Molekuler dan Uji Ketahanan Padi Transgenik terhadap Hama Penggerek Batang Padi
Abstrak: Hama penggerek batang padi merupakan salah satu hama yang paling banyak menimbulkan kerugian. Penelitian ini bertujuan untuk mendapatkan genotipe padi Nipponbare dan Kasalath transgenik yang mengandung gen cryIAc yang mempunyai sifat ketahanan terhadap hama pernggerek batang. Analisis molekuler ditentukan dengan menggunakan PCR dan dilanjutkan dengan bioasai terhadap hama penggerek batang. Hasil analisis molekuler dengan PCR menunjukkan keberadaan gen cryIAc pada 8 sampel tanaman untuk T0 dan 13 sampel tanaman untuk T1. Bioasai penelitian ini menggunakan 13 sampel tanaman T2, untuk fase vegetatif terdapat 23% tanaman kategori tahan, 15% tanaman kategori agak tahan, 31% tanaman kategori agak peka, 8% tanaman kategori peka, dan 23% tanaman kategori sangat peka, serta untuk fase generatif diperoleh 15% tanaman kategori sangat tahan, 15% tanaman kategori tahan, 8% tanaman kategori agak tahan, 46% tanaman kategori agak peka, 8% tanaman kategori peka, dan 8% tanaman kategori sangat peka. Berdasarkan bervariasinya hasil bioasai ini diduga ekspresi gen cryIAc tidak cukup toksik terhadap hama penggerek batang padi, sehingga perlu dilakukan penelitian tingkat ekspresi gen cryIAc pada tanaman transgenik yang dihasilkan.
Keyword: CryIAc gene, The rice stem borer, PCR, Bioassay, Oryza sativa, Transgenic kasalath, Nipponbare, Transgenic plant

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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