Judul: Identifikasi lalat penggorok daun Liriomyza spp. ( Diptera : Agromyzidae ) yang ada di Indonesia dengan menggunakan program lucid
Abstrak: Lalat pengorok daun Liriomyza spp. (Diptera: Agromyzidae) pertama kali dilaporkan pada tahun 1994 di daerah sentra pertanaman sayuran di Indonesia. Sampai saat ini spesies Liriomyza yang dilaporkan terdapat di Indonesia adalah L. huidobrensis, L. sativae, L. chinensis, dan L. brassicae. Karena ukuran lalat pengorok yang kecil maka identifikasi tidak mudah dilakukan. Untuk itu diperlukan inovasi dalam melakukan identifikasi. Dalam pelaksanaan tugas akhir ini dikumpulkan informasi yang berkaitan dengan lalat pengorok daun khususnya Liriomyza kemudian dikemas menjadi suatu metode identifikasi yang interaktif. Salah satu perangkat lunak komputer yang digunakan untuk keperluan identifikasi adalah Lucid. Informasi yang dibutuhkan diperoleh dari hasil pengambilan langsung dari lapang dan informasi dari buku-buku yang berkaitan dengan pengorok daun. Metode identifikasi yang dihasilkan dirancang agar akurat, mudah digunakan, dan dapat diperbaharui. Produk yang dihasilkan berupa program identifikasi pengorok daun (Agromyzidae) yang terdapat di Indonesia dalam bentuk perangkat lunak komputer. Program ini dapat digunakan untuk mengidentifikasi spesies Liriomyza spp. dan beberapa genus dari Agromyzidae lainnya seperti Ophiomyia, Agromyza, Melanagromyza, Chromatomyia, dan Japanagromyza yang ada di Indonesia berdasarkan karakter morfologi seperti warna dan ukuran tubuh, venasi sayap, dan sebagainya.
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Judul: Komposisi dan kelirnpahan parasitoid lalat pengorok  daun liriomyza sativae blanchard (Diptera:  Agrornyzidae)
Abstrak: Lalat penggorok daun F. sativae meripakan hama pandatang baru di Indonesia yang bersifat poligaf dan hanyak menimbulkan kerusakan pada tanaman sayuran di dataran rendah. Pengendalian yang umum dilakukan petani adalah mengaplikasikan insektisda dengan frekuaensi satu sampai dua kali seminggu. Pengalaman menunjukkan bahwa pengendalian kimia kurang efektif dan memiliki efek samping yang merugikan. Oleh karena itu perlu diupayakan alternatif pengendalian yang lebih ramah lingkungan, antara lain dangan pemanfaatan parasitoid.
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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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