Judul: Bionomi Liriomyza huidobrensis (Blanchard) (Diptera : Agromyzidae) pada Tanaman Kentang
Abstrak: Liriomyza huidobrensis (Blanchard) merupakan hama pendatang baru pada tanaman kentang di Indonesia. Diperkirakan serangga itu terbawa masuk ke lndonesia awal tahun 1990-an rnelalui pengiriman bunga potong dari luar negeri. Pada tahun 1994 Liromyza telah menyebar di berbagai daerah pusat pertanaman sayuran seperti Pengalengan, Garut, Lembang, Cipanas, Bogor (Jawa Barat), Dieng (Jawa Tengah), Batu, Malang (Jawa Timur), dan Brastagi (Sumatera Utara). Pada saat ini Liriomyza telah menjadi salah satu hama utama tanarnan kentang di lndonesia yang diperkirakan dapat rnenurunkan hasil sekitar 34 - 45%. Hama tersebut sulit dikendalikan dengan cara-cara pengendalian yang tersedia termasuk dengan insektisida karena belum tersedia informasi dasar yang memadai tentang kehidupan serangga tersebut di Indonesia. Untuk mendapatkan cara pengendalian yang tepat, diperlukan serangkaian penelitian dasar mengenai bionomi serangga bersangkutan.
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Judul: Serangan lalat pengorok daun, liriomyza huidobrensis (Blanchard) (Diptera : Agromyzidae), pada pertanaman kentang dan upaya pengendaliannya
Abstrak: Penelitian bertujuan mempelajari hubungan antara kerusakan tanaman oleh lalat pengorok daun, Liriomyza huidobrensis dengan kehilangan hasil dan menguji berbagai cara pengendalian hama tersebut, Penelitian dilakukan di Desa Tugu Selatan, Kabupaten Bogor dari bulan Agustus 1997 sampai Januari 1998. Pengaruh serangan L. huidobrensis terhadap kehilangan hasil didekati dengan metode manipulasi populasi hama dengan menggunakan kain kuning berperekat untuk memerangkap imago, sedangkan cara pengendalian yang diuji adalah penggunaan kain kuning, formulasi mimba, dan cara petani dengan frekuensi aplikasi satu dan dua kali per minggu.
Keyword: Diptera, agromyzidae, Liriomyza huidobrensis

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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