Judul: Policy strategy of indonesia capture fisheries in regional fisheries cooperation in Western and Central Pacific Fisheries Commission (WCPFC)
Abstrak: Management cooperation of highly migratory stock in western and central Pacific Ocean implemented through regional fisheries cooperation organization namely (WCPFC). The status of Indonesia is Cooperating Non-Member with limited rights to determine managament and conservation measures in convention area but obligations semiliar with Member. The purpose of this study are ; (1) Analyze the fisheries management provisions in high seas are managed by WCPFC, (2) Analyze the economic impact of WCPFC provisions for Indonesia fisherman, and (3) Analyze Indonesia policy formulation to strengthen participation of fisheries management in WCPFC. The study uses primary data of provisions governing the WCPFC and national regulations related fisheries and regional cooperation. The collection of secondary data in Bitung Fishing Port in 2012, using a survey research design. Sampling was conducted using census method for the purse seine fisherman who fishing in WCPFC area and landing fish in Bitung Fishing Port. Data were analyzed qualitatively and quantitatively with content analysis. Regression analysis conducted on the factors that influence purse seine fisherman income To analyze fisheries policy strategies used methods AWOT. To prepare Indonesia's participation in the WCPFC are two provisions that bind the WCPF Convention and Conservation and Management Measures (CMM). Based on the readiness of national regulations, Indonesia Government should consider : (1) Status area, (2) Monitoring and Enforcement, and (3) Preparation of Regulation Legislation. Result of WTA Analysis is average value per person willingness to accept payment of Rp 4.774.000 per year (RP 397.433 per month). Meanwhile, the average fixed income every purse seine fishermen of Rp 20.520.000 per year (Rp 1.710.000 per month). Therefore, if prohibition of baby tuna fishing is implemented, the purse seine fishing revenue per month Rp.1.313.166,67 for the loss of Rp 397,433 per month. Strategy should be done are (1) Routine fisheries research (2) Development of a fishing port facilities and services (3) Strengthening the role of the tuna fishery associations (4) Strengthening the law enforcement system (5) Strengthening regional cooperation with the WCPFC (6) Development system information and data (7) Improved MCS (8) Determination document of Fisheries Management Planning (h) Strengthening fishing fleet and (9) regulation synergy of FAD installation.
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Judul: Sustainable management of capture fishery in Jakarta Waters, DKI Jakarta Province
Abstrak: Jakarta Waters is categorized as fully exploited water areas which its coastal areas accommodate multifunction services. Therefore, it needs precautionary approach to manage fisheries activity and its resource in the location. This is important to sustain the potential resource, provide prosperity to fishermen as well as coastal communities. The general objectives of this study are to arrange the sustainable fishery management in Jakarta Waters, while specific objectives of this study are to evaluate capture fishery management status; to determine optimum allocation of potential fishing gears and fisheries development areas based on potential fishing gears; to analyze the various components affecting to capture fishery activity based on suitable area and to analyze internal and external conditions in order to arrange the strategies for sustainable fishery management in Jakarta Waters. The methods used in this study were system approach, SWOT analysis, Linear Goal Programming (LGP) analysis, analysis of Location Quotients (LQ), Geographic Information System (GIS) analysis, and Analytical Hierarchy Process (AHP) method. The results revealed that the management of capture fishery in Jakarta Waters was categorized as "kurang baik" with the total scores of 2.529 and 2.747 for internal and external factors analysis, matrix IE pointed out that the position of fishery management at growth level which need strategy to do coordination horizontally with the other stakeholders. By using GIS analysis, it was identified that 52,89% of Jakarta Waters can be used for capture fishery, less than 25% can be used for fish farming (cage culture) and less than 15% can be used for seeweed culture. Meanwhile the potential fishing gears to be developed were pelagic danish seine, drift gillnet, boat lift net, set bottom long line, portable trap and muro ami which have the optimum allocation for each fishing gear; 7 units, 98 units, 23 units, 18 units, 8547 units, and 798 units. The potential fishing gears for pelagic danish seine could be developed in Penjaringan and North Seribu Island Districts; drift gillnet could be developed in Cilincing District; boat lift net could be developed in Penjaringan District; set bottom long line could be developed in Penjaringan District; portable trap could be developed in Cilincing and South Seribu Island Districts while muro ami could be developed in Penjaringan and South Seribu Island Districts. The study identified that there are several important strategies to support sustainable capture fishery management, from the first priority to the last are small-scale fishery standardization, integrated management to conserve the ecosystem function, quality product improvement, fishing days opreration management by implementing closed – open seasons, increasing independent fishermen capability, human resources empowerment, extention for fishermen and increasing capture fishery activities supervision. As the first priority, the standardization of small-scale fishery should be stable against changes in the dimension of biology and quite stable against changes in the ecological, economic, social and technological dimension.
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Judul: Sistem Pengklasifikasian Entitas pada Pesan Twitter Menggunakan Ekspresi Regular dan Naïve Bayes
Abstrak: The widespread use of social networks like Twitter encourages some institutions to find out the entities that are discussed and the sentiment toward the entities. This research aims to build a system that can extract entities in tweets and classify the sentiment from the tweets. Entity extraction process is done using regular expressions. Writing regular expressions can capture the diverse entities. Sentiment classification is performed using naïve Bayes classification with Multinomial and Bernoulli models. Sentiment in this research consists of three classes, namely positive, negative, and neutral. Before entering the classification, tweets are normalized by replacing the non-standard words with the standard ones. The test results show that regular expression is quite effective for the entity extraction process. As for the results of the classification, naïve Bayes method produces high accuracy (96.75% for Multinomial and 96.33% for Bernoulli). However, the accuracy obtained depends on the neutral class which amounts to 97.88% for Multinomial and 99.95% for Bernoulli, while the positive class are 85.66% and 33.13% and negative class are 33.67% and 0%.
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