Judul: Trend of Fish Consumption Diversity in Indonesia
Abstrak: Penelitian ini bertujuan untuk mengkaji keragaman konsumsi ikan segar dan ikan awetan di Indonesia. Penelitian ini menggunakan metode forecasting berupa metode Moving Average dan metode Double Exponential Smoothing. Data yang digunakan adalah data sekunder konsumsi ikan di Indonesia tahun 2013 hingga 2018 dari SUSENAS. Hasil peramalan/ forecasting dengan menggunakan metode Moving Average pada konsumsi ikan segar, ikan awetan, udang dan hewan laut lainnya yang segar, serta udang dan hewan lainnya yang diawetkan hingga tahun 2024 masing-masing berturut-turut adalah 16,39 kg/kap/tahun, 2,09 kg/kap/tahun, 1,32 kg/kap/tahun, dan 0,11 kg/kap/tahun. Hasil peramalan/ forecasting dengan menggunakan metode Double Exponential Smooting pada konsumsi ikan segar, ikan awetan, udang dan hewan laut lainnya yang segar, serta udang dan hewan lainnya yang diawetkan hingga tahun 2024 masing-masing berturut-turut adalah 19,39 kg/kap/tahun, 1,86 kg/kap/tahun, 1,58 kg/kap/tahun, dan 0,16 kg/kap/tahun. Kata kunci: forecasting, ikan awetan, ikan segar, udang dan hewan lainnya diawetkan, udang dan hewan lainnya segar, This study aimed to analyze diversity of fresh and preserved fish consumption in Indonesia. The study applied two forecasting methods, Moving Average method and the Double Exponential Smoothing to secondary data of fish consumption in Indonesia start year 2013 until 2018 from SUSENAS. Results of forecasting using Moving Average method on consumption of fresh fish, consumption of preserved fish, consumption of fresh shrimp and other aquatic animals, and consumption of preserved shrimp and other aquatic animals until 2024 are 16,39 kg / cap /year, 2,09 kg / cap / year, 1,32 kg / cap / year, and 0,11 kg / cap / year, respectively. Results of forecasting using Double Exponential Smooting method on consumption of fresh fish, consumption of preserved fish, consumption of fresh shrimp and other aquatic animals, and consumption of preserved shrimp and other aquatic animals until 2024 are 19,39 kg / cap / year, 1,86 kg / cap / year, 1,58 kg / cap / year, and 0,16 kg / cap / year, respectively. Keywords: forecasting, fresh fish, fresh shrimp and other aquatic animals, preserved fish, preserved shrimp and other aquatic animals
Keyword: forecasting, ikan awetan, ikan segar, udang dan hewan lainnya diawetkan, udang dan hewan lainnya segar

Judul: Analisis keragaan konsumsi ikan di Indonesia tahun 2005 - 2011
Abstrak: The objective of this study was to analyze fish consumption in Indonesia 2005–2011. The design of this study was the descriptive study. Data used in this study was secondary data based on national social and economic survey (SUSENAS). The study showed average national actual fish consumption 26,04 kg/capita/year, average rural actual fish consumption 25,69 kg/capita/year and average urban actual fish consumption 26,51 kg/capita/year. Average growth rate of national fish consumption is 0,05% per year. Average growth rate of rural fish consumption is -0,05% per year. Average growth rate of urban fish consumption is 0,37% per year. The group of fish that consumed the most is fresh fish (62%) and the less is cooked food (10%). Average national fresh fish consumption is 16,16 kg/capita/year. Average rural fresh fish consumption is 15,74 kg/capita/year. Average urban fresh fish consumption is 16,71 kg/capita/year. Fish consumption from prepared fish is higher in rural (32%) tahunan urban area. Average national prepared fish consumption is 7,25 kg/capita/year. Average rural prepared fish consumption is 8,30 kg/capita/year. Average urban prepared fish consumption is 6,39 kg/capita/year. Fish consumption from cooked food is higher in urban (14%) than rural area. Average national fish consumption from cooked food is 2,63 kg/capita/year. Average rural fish consumption from cooked food is 1,65 kg/capita/year. Average urban fish consumption from cooked food is 3,71 kg/capita/year. Low expenditure group consumed fish lower than high expenditure group. Ideal fish consumption is 32,7 kg/capita/ year or 12,9 gram protein/capita/day.The sufficiency of fish is projected 8,10 million tons at 2015.
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Judul: Construction of Strongly Optimal Binary Linear Code with Minimum Distance 9 and 11
Abstrak: A binary linear code of length n over q F is a subspace of n q F . A code has three parameters that attached to it, namely length, dimension, and minimum distance. A code with length n, dimension k and minimum distance d is often called [n, k, d ]-code. Usually, when two parameters are given, then we want to find a code that has the best value for the last parameter. Based on Gilbert- Varshamov bound, if a [n, k, d ]-code exists and can not be expanded, we call it a strongly optimal code. In this paper, we construct strongly optimal code with minimum distance 9 and 11. In constructing the code, we created a theorem and algorithm based on Gilbert-Varshamov bound before we implement the algorithm to MAPLE programming language. Because of computational limitations, the program can only construct up to k = 10 for d = 9 and k = 12 for d = 11.
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