Judul: Sustainability of pelagic fisheries in ternate and its development strategies
Abstrak: RAPFISH on the pelagic fisheris of Ternate indicates that it has fair suistainability state for ecology, economy, and social dimensions (index of 50-75), and less sustainability state for technology and law/institute dimesions (index of 25-50). Attributes that influence suistainability indexes for each dimensions are the length og migration, range collapse, and catch of pre-mature fish (ecology), limited entry regime, market right, and alternative incomes (economy), fishing sector, fishers influence on decision making process, and conflicts (social), post harvest processing, gear selectivity, and use of FAD's (technology), and fishers participation in policy determination, and illegal fishing (law and institute). AHP on the fisheries suggested a number of policies to overcome weaknesses in fisheries management: (1) development of law and institutional capacity, (2) improvement of marketing system, (3) improvement of fishing productivity and efficiency, (4) improvement of community welfare, and (5) application of environmentally friendly fishing technology.
Keyword: RAPFISH

Judul: Kebijakan Pengembangan Ekonomi Perikanan Tangkap Berkelanjutan di Provinsi DKI Jakarta
Abstrak: Capture fisheries subsector in DKI Jakarta Province has been facing serious problems on various dimensions. Those problems threat its sustainability in the future. Fisheries sustainability is determined by several interacting dimensions such ecology, economic, social. technology and institution. The purpose of this research is to 1) estimate optimum alocation of capture fisheries in DKI Jakarta Province, 2) determine the degradation and depreciation level of capture fisheries in DKI Jakarta, 3) determine the sustainability status of capture fisheries in DKI Jakarta according five sustainability dimensions (ecology, economy, social, technology, and institution), 4) determine dynamic optimation management of capture fisheries in DKI Jakarta Province, and 5) formulate policy direction of economic development of sustainable capture fisheries in DKI Jakarta Province. The fisheries resources on this research seperated as pelagic and demersal. The research used bioeconomic analysis, degradation and depreciation analysis, sustainable analysis with Rapfish techniques and dynamic analysis. Result of the bioeconomic analysis showed that the harvest and effort of pelagic and demersal resources were above than optimal level therefore those resources have been over exploited. Degradation and depreciation analysis showed that pelagis resouce have been degraded dan depreciated meanwhile demersal resource have been not degraded dan depreciated. Sustainable analysis with Rapfish techniques using multi dimension scalling (MDS) and modification of AHP showed that the sustainability index of pelagic was 39,63. Based on categorized, it means was in less sustainable with economic dimension as the most priority dimension that influently to sustainability of pelagis resources. Mean while, the sustainability index of demersal resources was 37,15. It means the resource was less sustainable with ecology dimension as the most priority dimension. The dynamic model of this research was composed of three sub models, such as ecology, economic and social. Those sub models were used to predict of sustainability indicators on each dimension. The indicator of ecology, economic and social model were natural stock of resources, profit and profit to UMR. Result of dynamic analysis showed that limiting number of fishing effort can kept the natural stock of fish on sustainable stock. Based on result of all analysis, one of the best policy to improve sustainability of capture fisheries in DKI Jakarta is synergetic policy which consider ecology, economic, and social indicators.
Keyword: 

Judul: Penjajaran Lokal Sekuens DNA Paralel dengan Skema Partisi Columnwise Menggunakan CUDA
Abstrak: Deoxyribo nucleic acid (DNA) merupakan asam nukleat yang menyimpan informasi genetika makhluk hidup. Sekuens DNA suatu makhluk hidup dapat memiliki similaritas dengan sekuens DNA makhluk hidup lainnya. Penjajaran sekuens adalah salah satu cara untuk melihat similaritas di antara sekuens DNA. Penjajaran sekuens untuk sekuens DNA yang panjang membutuhkan waktu yang lama. Penjajaran sekuens secara paralel dapat mempercepat proses penjajaran. Untuk mengimplementasikannya dibutuhkan skema partisi, salah satunya adalah columnwise. Penelitian ini menggunakan metode Smith-Waterman untuk melakukan penjajaran sekuens lokal dan GPU untuk melakukan penjajaran sekuens secara paralel. Pada penelitian ini dihasilkan speedup tertinggi sebesar 5.542 kali untuk sekuens DNA dengan panjang 22 000 bp menggunakan skip 1.
Keyword: columnwise, sequence alignment, Smith-Waterman