Judul: Study Development Of Tuna Fishing Based Community In Ambon City
Abstrak: Ambon city has developed quite rapidly, exceeding the district or city in Maluku. It can be seen from the average annual economic growth in the last five years, ranging from 5.5 to 7%. In terms of economic structure, economic Ambon City in the last three years (2008-2010), Fishery sector contributes an average of 17% per year, with a relatively stable growth of about 4.5% per year to PDRB. Large pelagic fish scattered on the south coast ecoregion Ambon city with an abundance of stock amounting to 620.6 tons per month with maximum sustainable yield (MSY) of 310.3 tons per month Existing resources can be utilized by developing community-based tuna fishing in the city of Ambon. By knowing the factors of production, can be made strategies for the development of community-based tuna fishing industry in the city of Ambon. The purpose of this study was to describe the present condition (present status) of tuna fishery in the city of Ambon, to analyze the factor influence levels of production towards the the tuna fishing development in the city of Ambon, to formulate strategic priority-based tuna fisheries development community in Ambon City. This study is expected to provide benefits to the development of science and technology in the field of fisheries, information material for tuna fisheries managers in developing a business, an input to government policy-making in the development of the tuna fishery in the city of Ambon, about the development of the fishing industry, especially the tuna fishery in the City Ambon. The study was conducted in January and March of 2013 in Ambon city there is Laha Village, Latuhalat Village and Seri Village. This study is expected to provide benefits is a method of collecting primary and secondary data. Respondents were selected by purposive sampling, with fishermen being taken was 60, for the analysis of the priority development of the tuna fishing industry as much as 6 people representing fishermen, tuna companies, and consumers. To describe the present status tuna fishery in Ambon analysis used is descriptive analysis to describe the start of production, fishing up in Ambon city. To analyze the influence of the factors production to the development of the tuna fishing in Ambon city analysis used is multiple regression analysis. SWOT analysis (strengths, weaknesses, opportunities, and threats) was conducted to determine what strategies are carried out for the development of the tuna fishing industry. SWOT results are used as a determinant of the strategic priorities of development of the tuna fishery are analyzed with hierarchy approach (AHP). Tuna fishery is one that is in the city of Ambon, in 2011 the production volume reached 1769.24 tons. Ambon has 5 districts is Nusaniwe District, Sirimau, Bay of Ambon, Ambon Bay Baguala and South Leitimur. Subdistrict Nusaniwe and Sirimau is the largest tuna producing area in Ambon city, in 2011 the number of tuna fisheries production amounted to 615.25 and 578.36 tonnes (Ambon City Department of Fisheries, 2012). Fishermen Ambon did tuna fishing operations using a trolling fishing line. The length of the vessel reached about 7- 11 meters, with a width
Keyword: Based Community, Ambon City, Tuna fisheries development

Judul: Cluster-based capture fishery development model in Ambon City
Abstrak: Ambon City is located in the southern part of Ambon island which is surrounded by the Banda Sea and the Maluku Sea. This city consists of marine areas (52%) and 32 coastal villages which do not have sufficient land-based natural resources, either plantation or mineral resources or mining. Although economic growth of the city was highest for 5 years, poverty is still one of big issues for these coastal villages. This research was designed to provide a model of village-level fisheries development using clustering approach. In this model, villages are grouped into six clusters based on the fisheries development status of the village, the feasibility of fisheries business units, access to market networks, and level of business ownerships. This study also examined some potential factors of fisheries development. Working capital, coral reefs, fishing fleets, all factors in the socio-cultural dimensions, and facilities and village infrastructure require no special attention due to their insignificant effect on the financial performance of fisheries business. Meanwhile, as common in four of the six clusters, topography and demography, settlement, and business profits need some attentions. Factors that should be developed in four clusters are fishing gear, return on investment, and business continuity. AHP indicates three important policies that are common among clusters. These are related to issues on potential resources of fish, accommodating regulation or law, and technology support. Issues on technical development is a priority interest in the majority of the clusters, followed by issues on prospective market, and fisheries infrastructures. Finally, the most prioritized strategic policies for the development of coastal fishing village in Ambon is the promotion and development of human resources. It shows that local stakeholders seriously consider good quality human resources as one of success keys of marine and coastal resources utilization and a strategic instrument to sistematically reduce poverty of coastal villagers. Linking the various elements or phenomena or variables in this study, established in propositions that make up a model. Model-based development of fishing industry cluster villages in Ambon city is named Model Manggurebe Maju. Term in the local language can be interpreted as an effort to move forward.
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Judul: Konstruksi aritmetika kurva eliptik F(2m) supersingular dan non-supersingular untuk skema kunci publik ElGamal
Abstrak: Algoritme ElGamal adalah salah satu algoritme kunci publik dengan aritmetik modular p yang mempunyai struktur grip siklik Z(p). Tingkat keanaman algoritme ini terletak pada pemecahan masalah logaritme diskret dari Z(p). Akan tetapi, tingkat keamanan tadi tahun ke tahun semakin menurun yang disebabkan kemampuan pemecahan algoritme diskret semakin meningkat. Untuk memenuhi tingkat keamanan yang memadai dibutuhkan p yang cukup besar yang menyebabkan proses enkripsi dan dekripsi menjadi lambat.
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