Judul: Pelagic and Demersal Fishing Season Patterns of Superior Commodity at the Nusantara Palabuhanratu Fishing Port
Abstrak: Komoditas unggulan merupakan suatu jenis komoditas yang paling diminati dan memiliki nilai jual tinggi serta diharapkan mampu memberikan pemasukan yang besar dibandingkan dengan jenis lainnya. Pola musim atau waktu terbaik menangkap suatu komoditas ikan merupakan informasi dalam efesiensi penangkapan sumberdaya ikan. Sehingga, perlu adanya informasi mengenai jenis ikan komoditas unggulan dan pola musimnya sebagai upaya untuk meningkatkan produksi hasil tangkapan di PPN Palabuhanratu. Penelitian ini dilakukan dengan tujuan untuk mengetahui jenis ikan demersal dan pelagis yang berkomoditas unggulan serta pola musimnya. Metode yang digunakan adalah metode penelitian deskriptif. Metode analisis data yang digunakan yaitu analisis metode skoring nilai fungsi, dan analisis metode rata-rata bergerak. Hasil penelitian menunjukkan ikan demersal komoditas unggulan adalah ikan layur (Trichiurus lepturus), ikan peperek (Leiognathus spp), dan ikan swanggi (Priacanthus tayenus). Sedangkan ikan pelagis adalah ikan tuna madidihang (Thunnus albacares), ikan tuna mata besar (Thunnus obesus), dan ikan cakalang (Katsuwonus pelamis). Musim puncak ikan komoditas unggulan cenderung terjadi pada musim timur yaitu pada bulan Juli hingga September., The superior commodity is a type of commodity that is most in demand and has high selling value and is expected to be able to provide a large income compared to other types. The pattern of the season or the best time to catch a fish commodity is information on the efficiency of catching fish resources. So, it is necessary to have information about the types of superior commodity fish and their seasonal patterns to increase the potential of marine fisheries in Pelabuhan. This research was conducted to know the types of demersal and pelagic fish with superior commodities and their seasonal patterns. The method used is the descriptive research method. The data analysis method used is the analysis of the function value scoring method and the analysis of the moving average method. The results showed that the main commodities of demersal fish were layer fish (Trichiurids lectures), peppered fish (Leiognathids spp), and swanggi fish (Priacanthus tayenus). While the pelagic fish are yellowfin tuna (Thunnus albacares), big eye tuna (Thunnus obesus), and skipjack tuna (Katsuwonus pelamis). The peak season for superior commodity fish tends to occur in the eastern season, namely from July to September.
Keyword: demersal fish, pelagic fish, superior commodity, seasonal patterns

Judul: Strategy for Development of Superior Commodity  Based Capture Fisheries System at Logending Coastal Fishing Port Kebumen Central Java
Abstrak: Hasil tangkapan ikan di PPP Logending periode tahun 2016–2019 berfluktuasi, sementara itu nilai produksi cenderung naik. Hal ini disebabkan oleh beberapa faktor, seperti pendangkalan kolam pelabuhan dan faktor cuaca. Kondisi ini menjadi fokus kajian dengan menetapkan kebijakan yang tepat untuk pengembangannya berbasis komoditas ikan unggulan. Tujuan penelitian adalah menentukan sumber daya ikan komoditas unggulan, mendeskripsikan kondisi sistem perikanan tangkap, serta merumuskan prioritas kebijakan dalam strategi pengembangan perikanan tangkap komoditas unggulan yang berbasis di PPP Logending. Penelitian menggunakan pendekatan sistem. Pengambilan data lapang menggunakan metode survei. Analisis data meliputi aspek biologi, teknis, finansial, dan sosial, serta analisis hierarki proses. Hasil penelitian menunjukkan sumber daya ikan unggulan adalah ikan layur, bawal putih, dan tenggiri dengan nilai skor masing-masing (3,76; 2,25; dan 1,47). Musim penangkapan ikan terjadi pada bulan Agustus–November. Alat tangkap dominan gillnet dan trammel net dengan kapal berukuran 1–3 GT. Alternatif prioritas strategi pengembangan perikanan tangkap berbasis komoditas unggulan di PPP Logending adalah kualitas sumber daya manusia dengan nilai rasio kepentingan 0,620., The catch of fish at PPP Logending for the period 2016–2019 fluctuates, while the value of production tends to increase. This is due to several factors, such as siltation of the harbor pond and weather factors. This condition became the focus of the study by determining the right policy for its development based on superior fish commodities. The objectives of the study were to determine the fish resources of superior commodities, describe the condition of the capture fisheries system, and formulate policy priorities in the development strategy of superior commodity capture fisheries based at PPP Logending. The research used a system approach. Field data collection using survey method. Data analysis included biological, technical, financial, and social aspects, as well as hierarchical process analysis. The results showed that the leading fish resources were hairtail fish, white pomfret, and mackerel with respective score values (3.76; 2.25; and 1.47). The fishing season occurs in August–November. The dominant fishing gear is gillnet and trammel net with vessels of 1–3 GT. Alternative priority strategy for the development of capture fisheries based on superior commodities at PPP Logending is the quality of human resources with an importance ratio value of 0.620.
Keyword: analytical hierarchy process, development strategy, Kebumen, PPP Logending, superior commodities

Judul: The Exploration of Discrete Logarithm over Finite Field GF(3m)
Abstrak: The security of many public~key algorithms is based on the problem of finding discrete logarithms. The generalized discrete logarithm problem is the following: given a finite cyclic group G of order n, a generator a of G, and an element fl E G, find the integer x, 0 ~ x ~ n - 1, such that 0: = fl. Algorithm for discrete logarithm problem focused on Menezes et al. (1997) that consist of exhaustive search algorithm, the baby-step giant-step algorithm, Pollard's rho algorithm, Pohlig-Hellman algorithm, and index-calculus algorithm. These algorithms are explorated to be used in discrete logarithm problem over finite field GF(3m ). The exploration also produces some algorithms, i.e. naif negative algorithm, baby-step mother-step algorithm, baby-step mother free-step algorithm, and baby-step free-step algorithm. All algorithms implemented using Maple 11. The Pohlig-Hellman and baby-step giant-step algorithms are efficient enough to be used in discrete logarithm problem over finite field GF(3m ) for m < 20.
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