Judul: Pendugaan Stok dan Parameter Biologi Ika Beloso (Saurida spp) di Perairan Selat Makssar, Kalimantan Timur
Abstrak: Penelitian ini bertujuan untuk menduga dan menentukan daerah penyebaran, jenis, laju tangkap, kepadatan stok, bimassa, kemampuan menghasilkan per tahun dan besarnya parameter pertumbuhan panjang-berat ikan beloso.
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Judul: Dugaan Stok, distribusi dan beberapa aspek biologi ikan beronang (Siganus canaliculatus, Mungo Park) di Perairan Selat Makassar, Kalimantas Timur
Abstrak: Penelitian ini dilakukan di perairan Selat Makassar, Kalimantan Timur pada tanggal 15 Januari sampai dengan 3 Febuari 1995 dan ditentukan 24 stasiun sebagai sample untuk menganalisis stok sumberdaya yang ada di perairan tersebut dan 15 stasiun sebagai sampel untuk menganalisis parameter fisika-kimia. Perairan Selat Makassar, Kalimantan Timur termasuk kedalam wilayah Indonesia bagian timur, dimana eksploitasi sumberdaya ikan di wilayah ini relatif rendah terutama ikan demersal. Rendahnya tingkat eksploitasi sumberdaya ikan demersal diduga sebagai tingkat pemanfaatan belum optimum. Untuk menunjang pembangunan perikanan di kawasan Indonesia timur, maka salah satu aspek yang perlu mendapatkan perhatian adalah peningkatan pemanfaatan potensi sumberdaya ikan laut dengan jalan dilakukannya penelitian pendugaan sumberdaya perikanan secara kontinu. Ikan Beronang (Siganus spp) merupakan salah satu jenis ikan demersal yang mempunyai nilai ekonomis tinggi. Di perairan Indonesia sumberdaya ikan beronang cukup besar dan sampai saat ini belum diusahakan secara komersil, sehingga data statistik mengenai perikanan ini belum tersedia secara memadai. Penelitian pendugaan stok dan penelitian mengenai aspek biologi ini dilakukan dengan Metode Swept Area dan analisis aspek biologi dengan menggunakan Metode Length Frequency. Untuk pengambilan sampel pada tiap stasiun dilakukan penarikan contoh secara acak berlapis (Stratified Random Sampling), pengklasifikasian diambil berdasarkan strata kedalaman.
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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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