Judul: Efektivitas Zat Pengatur Tumbuh Serangga Hexaflumuron (Sentricon™) dalam Mengeliminasi Koloni Rayap Coptotermes sp.
Abstrak: Magang ini dilakukan dengan tujuan untuk mengamati keefektivan Sentricon™ sebagai salah satu hasil teknologi baru yang dikeluarkan oleh PT. Pacific Chemicals Indonesia dalam mengeliminasi koloni rayap Coptotermes sp. Pelaksanaan magang dilakukan pada tiga rumah contoh di kawasan Jakarta dan satu rumah contoh di kawasan Bogor selama empat bulan dari tanggal 15 Februari sampai dengan tanggal 15 Juni 2000. Metode yang dilakukan adalah pengumpanan rayap, pengamatan langsung di lapangan dan wawancara dengan pemilik rumah.
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Judul: Penggunaan Empat Jenis Ekstrak Tanaman Pengendalian Rayap Tanah Coptotermes gestroi Wasmann (Isoptera : Rhinotermitidae)
Abstrak: Serangan rayap pada tanaman perkebunan, tanaman kehutanan, serta pada bangunan gedung atau perwnahan (permukiman) cukup tinggi. Penggunaan termitisida sintetik untuk pengendalian rayap terbukti berbahaya bagi lingkungan sekitar maupun pengguna sehingga perlu dikurangi. Pengendalian alternatif sebagai penggallti tennitisida sintetikadalah dengan memanfaatkan ekstrak tanaman sebagaitermitisida botani. Beberapa ekstrak tanaman yang dapat digunakan antara lain Annona squamosa, Azadirachta indica, Piper retrojractum, dan Alpinia galanga. Untuk mengetahui keefektifannya maIm diperlukan pengujian. Metode pengujian yangdilakukanadalall llletode celup. Pengujian dilakukandengan menggunakan kertas tissue yang telah direndam pada ekstrak tanaman dengan beberapa taraf konsentrasi kemudian dimasukkan ke dalam botol yang berisi pasir dan rayap C. gestroi sebanyak 50 ekor. Pengamatan dilakukan pada elllpat minggu setelah perlakuan . Dari keempat ekstrak tanaman yang diujikan, terdapat tiga jenisekstrak tanaman yang menunjukkan rata-rata mortalitas rayap C. gesttoi yang tinggi yaitu ekstrak A. squamosa, A. indica, dan P. retrofractum. Sedangkan tiga jenis ekstrak yang menunjukkan penghambatanaktivitas konsumsi atau yang bersifat antifeedant yaituekstrak A. galanga, A. indica, dan P. retrofractum.
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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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