Judul: Pemanfaatan sistem informasi geografis dalam penentuan distribusi ikan madidihang (Katsuwonus pelaamis) di Perairan Pesisir Sulwesi Selatan
Abstrak: Indonesia dengan luas laut 3.1 juta km² memiliki potensi laut yang sangat besar, dan hal ini merupakan tantangan bagi bangsa Indonesia untuk dapat memanfaatkannya secara optimal. Sulawesi Selatan dengan luas perairan 266.877 km² merupakan salah satu daerah perikanan utama di Indonesia dengan kontribusi terhadap produksi perikanan nasional sebesar 8.4% (Ditjen Perikanan, 1995) Ikan Madidihang (Thunnus albacares) dan ikan Cakalang (Katsuwonus pelamis) merupakan ikan yang menjadi tujuan sebagian besar penangkapan ikan pelagis di Perairan Sulawesi Selatan. F Dalam upaya optimalisasi eksplorasi dan eksploitasi sumberdaya hayati laut khususnya ikan dibutuhkan suatu informasi mengenai daerah penyebaran ikan di suatu perairan sehingga kita dapat merencanakan metode dan taktik penangkapan yang tepat untuk mendapatkan hasil tangkapan yang memuaskan. Salah satu cara untuk dapat menduga daerah distribusi ikan yaitu dengan menggunakan Sistem Informasi Geografis yang dapat menyajikan informasi dalam bentuk geografik beserta atributnya. Tujuan Penelitian ini adalah memanfaatkan Sistem Informasi Geografis (SIG) dalam penentuan daerah distribusi ikan Madidihang (Thunnus albacares) dan ikan Cakalang (Katsuwonus pelamis) dan penyusunan basis data terkait di Perairan Pesisir Sulawesi Selatan. Data yang digunakan dalam penelitian ini adalah Peta Lingkungan Pantai Indonesia dan Peta Rupa Bumi Propinsi Sulawesi Selatan, data Citra NOAA/AVHRR, Data Statistik Perikanan, data Oseanografi, dan data pendukung lainnya. ...
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Judul: Pemetaan Daerah Penyebaran Ikan Tongkol (Euthynnus affinis) di Perairan Selatan Jawa-Bali dengan Menggunakan Teknologi Sistem Informasi Geografi (SIG).
Abstrak: Pengembangan usaha penangkapan ikan dapat dilaksanakan dengan baik dan akurat jika data dan informasi tentang aspek-aspek wilayah lautan dapat diperoleh dengan baik dan akurat. Pembentukan basis data kelautan adalah penting dan merupakan dasar dari perencanaan pengembangan usaha penangkapan ikan. Salah satu cara pembentukan basis data dan analisis untuk menghasilkan informasi guna mendukung perencanaan pembangunan penangkapan ikan yaitu dengan menggunakan teknologi Sistem Informasi Geografi (SIG). SIG merupakan teknologi yang mampu melakukan operasi spasial yang menghubungkan berbagai informasi yang berkaitan. Kelebihannya terletak pada kemampuan anafisis keruangan lewat operasi tumpang susun dan hemat waktu.
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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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