293,432 research outputs found

    Analisis Bioekonomi Ikan Pelagis Pada USAha Perikanan Tangkap Di Pelabuhan Perikanan Pantai Tawang Kabupaten Kendal

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    Kendal Regency Seawaters is one of distribution area of potential pelagical fish. If there is no control in the resources utilization, the resources will be threaten. This research aims were to analyze biological and economic aspect of the utilization of the pelagic fish in Tawang fishing port Kendal Regency Seawaters which includes Catch per Unit Effort (CPUE), Maximum Sustainable Yield (MSY), Maximum Economic Yield (MEY), and Open Access Equilibrium (OAE). This research conducted in March-April 2012. Research material was unit of fishing industries was put pelagical fish target in Tawang fishing port. Research method was case study descriptive method. Sampling method was purposive sampling with 30 samples obtained. Data analysis method used time series and bioeconomic method – Gordon-Schaefer Model. This study showed that the average of Catch per Unit Effort (CPUE) pelagical fish potency rate for 2007-2011 in Tawang fishing port Kendal Regency Seawaters is 0, 417 tonnes/trip. The optimum product (Copt) of the Maximum Sustainable Yield (MSY) was 307,168 tonnes per year with optimum effort (Eopt) was 490 trip per year. The optimum product (Copt) of the Maximum Economic Yield (MEY) was 307,008 tonnes per year with optimum effort (Eopt) was 479 trip per year. The optimum product (Copt) of the Open Access Equilibrium (OAE) was 27,342 tonnes per year with optimum effort (Eopt) was 958 trip per year. The pelagical fish resource utilization rate during the last 5 years in Tawang fishing port Kendal Regency has an average rating of 85,57%

    How well do high resolution models reproduce tropical convection?

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    Cascade is a multi-institution project studying the temporal and spatial organization of tropical convective systems. While cloud resolving numerical models can reproduce the observed diurnal cycle of such systems they are sensitive to the chosen resolution. As part of this effort, we are comparing results from the Met. Office Unified Model to data from the Global Earth Radiation Budget satellite instrument over the African Monsoon Interdisciplinary Analyses region of North Africa. We use a variety of mathematical techniques to study the outgoing radiation and the evolution of properties such as the cloud size distribution. The effectiveness of various model resolutions is tested with a view to determining the optimum balance between resolution and the need to reproduce the observations

    Analisis Potensi Dan Tingkat Pemanfaatan Sumberdaya Ikan Demersal Di Perairan Kabupaten Kendal

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    Perairan Kabupaten Kendal merupakan salah satu wilayah penyebaran ikan demersal yang cukup potensial di perairan utara Jawa Tengah. Upaya pemanfaatan yang terus meningkat akan mengancam kelestarian sumberdaya, jika tidak diupayakan langkah pengendalian. Informasi potensi dan tingkat pemanfaatannya perlu diketahui terkait dengan aspek pengendalian. Tujuan penelitian adalah menganalisis estimasi stok, (CPUE) Catch per Unit Effort, Potensi Lestari / (MSY) Maximum Sustainable Yield ikan demersal untuk mengetahui status tingkat pemanfaatan, status kondisi daerah penangkapan ikan, serta upaya pemanfaatan sumberdaya ikan demersal yang optimum. Penelitian dilaksanakan pada bulan Agustus-September 2012. Metode penelitian yang digunakan adalah survei eksploratif, metode pengambilan sampel secara purposive sampling, sebanyak 4 sampel. Metode analisis data yang digunakan adalah metode swept area dan metode surplus produksi model Schaefer. Hasil penelitian diperoleh stok density sebesar 0,325 ton/km2 di perairan Kabupaten Kendal, sedangkan penangkapan optimum sumberdaya ikan demersal (CMSY) sebesar 1.514 ton/tahun dan upaya optimumnya effort optimum (EMSY) sebesar 2.423 trip/tahun. Tingkat pemanfaatan rata-rata sumberdaya ikan demersal selama 5 tahun terakhir telah melebihi 100% yaitu sebesar 113%. Hal ini menunjukkan kapasitas tangkapan berlebih dari ketentuan CCRF, dengan kata lain sudah terjadi overfishing. Kendal Regency is one of distribution area of potential demersal fish in the North Central Java. The resources utilization rate was no control in, it\u27s will be threated with the increasing of fishing effort on this recources. Potential information and utilization rate should be known about controlling aspect. Research aims were to analyze stock potency, Catch per Unit Effort (CPUE), Maximum Sustainable Yield (MSY) demersal fish, utilization rate, condition of fishing ground and optimum effort of demersal fish. Research conducted in august-september 2012 at Kendal Regency. Research method used explorative survey, sampling method was purposive sampling with 4 samples. Data analyze method used swept area and production surplus method – Schaefer Model. Result research, the stock density was 0,325 ton/km2 in Kendal Regency Seawaters while catch optimum (CMSY) of demersal water resource was 1.514 ton/year and the optimum effort (EMSY) was 2.423 trip/year. The demercal fish resource utilization rate during the last 5 years was more than 100% which count 113% it shown was catching capacity that exceeded agreed in the CCRF, its mean was overfishing

    Analyze of Classification Accaptence Subsidy Food Using Kernel Discriminant

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    Subsidy food is government program for social protection to poor households. The aims of this program are to effort households from starve and to decrease poverty. Less precisely target of this program has negative impact. So that to successful program, it’s important to know accuracy classification of admission subsidy food. The variables classification are number of household members, number of household member in work, average expenditure capita, weighted household, and floor area. Discriminant analysis is a multivariate statistical technique which can be used to classify the new observation into a specific group. Kernel discriminant analysis is a non-parametric method which is flexible because it does not have to concern about assumption from certain distribution and equal variance matrices as in parametric discriminant analysis. The classification using the kernel discriminant analysis with the normal kernel function with optimum bandwidth 0.6 gives accurate classification 75.35%

    An Efficient Methodology for Learning Bayesian Networks

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    Statistics from the National Cancer Institute indicate that 1 in 8 women will develop Breast cancer in their lifetime. Researchers have developed numerous statistical models to predict breast cancer risk however physicians are hesitant to use these models because of disparities in the predictions they produce. In an effort to reduce these disparities, we use Bayesian networks to capture the joint distribution of risk factors, and simulate artificial patient populations (clinical avatars) for interrogating the existing risk prediction models. The challenge in this effort has been to produce a Bayesian network whose dependencies agree with literature and are good estimates of the joint distribution of risk factors. In this work, we propose a methodology for learning Bayesian networks that uses prior knowledge to guide a collection of search algorithms in identifying an optimum structure. Using data from the breast cancer surveillance consortium we have shown that our methodology produces a Bayesian network with consistent dependencies and a better estimate of the distribution of risk factors compared with existing method

    Dynamic Importance Sampling in Bayesian Networks Based on Probability Trees

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    In this paper we introduce a new dynamic importance sampling propagation algorithm for Bayesian networks. Importance sampling is based on using an auxiliary sampling distribution from which a set of con gurations of the variables in the network is drawn, and the performance of the algorithm depends on the variance of the weights associated with the simulated con gurations. The basic idea of dynamic importance sampling is to use the simulation of a con guration to modify the sampling distribution in order to improve its quality and so reducing the variance of the future weights. The paper shows that this can be achieved with a low computational effort. The experiments carried out show that the nal results can be very good even in the case that the initial sampling distribution is far away from the optimum

    Mackerel egg investigations in the North Sea

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    This paper deals with the mackerel egg investigations in the North Sea in 1982 and 1983. The egg production is estimated by a computerized method. The confidence limits of the egg samples were estimated at 20-30%. The optimum future distribution of sampling effort in the area is calculated according to Neyman allocation. A comparison of the fecundity of mackerel from different areas measured by different methods is done. The size of the North Sea spawning stock is estimated based on the egg surveys and the fecundity studies

    School Competition

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    This paper considers the influence of spatial competition on education and its effect on students' school choice and educational achievement by explicitely modeling educational production and the students' participation decision. Education at school is a function of teacher effort and class size. Students decide which school to attend on the basis of an assessment of the associated costs and prospective benefits from doing so. We analyze how competition between schools affects equilibrium resource spending and school diversity as well as the level and distribution of student attainment and welfare. The consideration of spatial aspects of school choice without recourse to vertical differentiation is a unique contribution of this paper. We argue that schools in metropolitan areas with short ways to school and many potential students face fiercer competition which increases school productivity and student performance. This result confirms the findings in Hoxby (2000). Overall learning time in school is constant in the probability that students behave well if students are segregated by type. However, better behaved students have a higher achievement due to higher optimum resource spending. Finally, we support our argument by an empirical analysis of student performance in various matura schools in Switzerland.Schools; Education; Competition

    POTENSI DAN TINGKAT PEMANFAATAN SUMBERDAYA IKANDEMERSAL DI PERAIRAN KABUPATEN PEKALONGAN

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    ABSTRACTPekalongan Regency seawaters is one of potential demersal fish distribution area. If resources utilization are uncontrol, the resources will be threatened by fishing effort increase. Information about potency and utilization rate should be known. This research purposes were to analyze potency of demersal fish, biological and economic aspects of demersal fish utilization in Pekalongan Regency seawaters that analyzed Catch per Unit Effort (CPUE), Maximum Sustainable Yield (MSY), Maximum Economic Yield (MEY), dan Open Access Equilibrium (OAE).This research conducted in Februari-April 2011. Research method was explorative survey. Sampling method was using purposive sampling with 36 samples obtained. Data that used in this research were primary and secondary data. Data analysis method used swept area and bioeconomic method – Gordon-Schaefer Model. This study showed that the demersal fish potency in Pekalongan Regency Seawaters was 36.16 metric tons. The average Catch per Unit Effort (CPUE) rate for 2001-2010 in Pekalongan Regency Seawaters was 0,055 metric tons/trip. The optimum catch (Copt) of the Maximum Sustainable Yield (MSY) was 880 metric tons per year with optimum effort (Eopt) 17.237 trip per year. The optimum catch (Copt) of the Maximum Economic Yield (MEY) was 735 metric tons per year with optimum effort (Eopt) was 10.236 trip per year. The optimum catch (Copt) of the Open Access Equilibrium (OAE) was 849 metric tons per year with optimum effort (Eopt) was 20.472 trip per year. The demersal fish resource utilization rate during the last 10 years in Pekalongan Regency has an average rating of 117%, which means that the demersal fish resource utilization rate was overfishing.Keywords: Demersal Fish Resource, Potency, Utilization Rate, Pekalongan Regenc
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