Judul: Rancang-bangun Jaring Sirang (Bottom Gillnet) di Kecamatan Cilacap Selatan, Kabupaten Cilacap, Jawa Tengah
Abstrak: Alat tangkap jaring sirang (bottom gillnet) banyak digunakan oleh nelayan di Kecamatan Cilacap Selatan yaitu jaring sirang nilon terbuat dari nylon multifilament dan jaring sirang plastik terbuat dari nylon monofilament. Konstruksi jaring sirang nilon dan jaring plastik adalah sama, yaitu terdiri atas pelampung, tali pelampung, tali ris atas, srampad, badan jaring, tali ris bawah, pemberat, tali pemberat dan jangkar. Hang in ratio untuk jaring sirang nilon (nylon multifilament)berkisar 0.1-0.54 nilainya sudah tepat karena ikan tertangkap secara terpintal. Hang in ratio jaring plastik ( nylon multifilament) berkisar 0.48-0.66 nilainya terlalu besar karena dapat menyebabkan sasaran tangkapan mudah lolos.
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Judul: Kerentanan Nelayan Jaring Ciker di Jetis Kabupaten Cilacap
Abstrak: Jaring ciker adalah alat tangkap sejenis gillnet yang dioperasikan di dasar perairan. Jaring ini banyak digunakan oleh nelayan skala kecil di Jetis Kabupaten Cilacap. Nelayan skala kecil umumnya rentan terhadap berbagai perubahan ekonomi, sosial, dan lingkungan yang akan mempengaruhi keberlanjutan mata pencaharian. Tujuan penelitian ini adalah mendeskripsikan perikanan jaring ciker, mengidentifikasi dan menghitung faktor-faktor kerentanan yang mempengaruhi kerentanan dan tingkat resiliensi perikanan jaring ciker, serta memberikan rekomendasi untuk meningkatkan resiliensi perikanan jaring ciker. Penelitian ini menggunakan metode survey secara accidental sampling kepada 100 nelayan jaring ciker. Data dikumpulkan melalui wawancara menggunakan kuesioner FLIRES check yang dianalisis menggunakan analisis leverage dan analisis deskriptif. Hasil penelitian menunjukkan bahwa nelayan melakukan penangkapan harian menggunakan kapal 3 GT dengan mesh size jaring antara 1,9-2 inchi. Kerentanan nelayan jaring ciker dipengaruhi oleh enam aspek meliputi aspek alam, sumberdaya manusia, fisik, keuangan, sosial, dan kelembagaan. Nelayan berada pada status yang rentan dengan nilai rata-rata pemilik kapal 2,36 dan ABK 2,25. Pemilik kapal paling rentan pada aspek kelembagaan sehingga program penyuluhan dan pemberian bantuan teknologi penangkapan bisa membantu pemilik kapal memaksimalkan hasil tangkapan. ABK paling rentan pada aspek fisik sehingga program penyediaan kredit sarana penangkapan dan pelatihan pengolahan ikan disertai modal usaha bisa membantu ABK lebih mandiri., Bottom gillnet is a gillnet-type fishing gear that is operated at bottom of water. This net is widely used by small-scale fishermen in Jetis Cilacap Regency. Small-scale fishermen are generally vulnerable to various economic, social, and environmental changes that will affect the sustainability of their livelihoods. The purposes are to describe bottom gillnet fishery, identify and calculate factors that influence vulnerability and resilience level bottom gillnet fishery, and provide recommendations to improve resilience of bottom gillnet fishery. This study uses survey method by accidental sampling to 100 bottom gillnet fishermen. Collecting data through interviews using FLIRES check questionnaire which was analyzed using leverage and descriptive analysis. Results showed that fishermen do daily fishing using 3 GT vessels with mesh size 1,9-2 inches. Vulnerability bottom gillnet fishermen are influenced by six aspects including aspects of nature, human resources, physical, financial, social, and institutional. Fishermen are in vulnerable status on an average value of 2,36 owners and 2,25 crews. Owners are most vulnerable to institutional aspect, so extension and provision fishing technology can help owners maximize catch. Crews are most vulnerable to physical aspect, so providing credit fishing facilities and fish processing training accompanied by business capital can help crews more independent.
Keyword: bottom gillnet, Jetis, small scale fishery, vulnerability

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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