Judul: Studi dampak kenaikan paras laut dengan memanfaatkan data aster/GDEM aster dan Topex Poseidon/Jason 1.
Abstrak: Kenaikan paras laut global merupakan salah satu isu yang aktual saat ini sebagai salah satu efek dari pemanasan global. Kenaikan paras laut dapat memberikan dampak negatif langsung pada wilayah pesisir seperti banjir permanen dan kerusakan infrastruktur di daerah pesisir pantai, oleh karena itu diperlukan langkah-langkah adanya mitigasi terhadap kenaikan paras laut. Tujuan penelitian adalah untuk menganalisis laju kenaikan paras laut dari data citra satelit dalam kurun waktu 16 tahun dan mempelajari dampaknya terhadap wilayah genangan pesisir pantai. Penelitian ini dilakukan di wilayah pesisir Cirebon pada bulan Mei 2010 sampai Mei 2011 dengan survei lapang pada Bulan Oktober 2010. Dalam penelitian ini dilakukan pengolahan citra satelit dan survei lapang untuk validasi. Bahan penelitian yang digunakan adalah citra satelit The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) dan citra satelit Landsat, Global Digital Elevation Model (GDEM) Aster kenaikan muka laut, tinggi gelombang, pasang surut, dan data angin.
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Judul: Penilaian Dampak Kenaikan Muka Air Laut Terhadap Wilayah Pesisir (Studi Kasus : Kota Semarang)
Abstrak: Sea level rise is one of important global issue now. It has been caused by ice melting in pole, climate extreme event, and land level decreasing. Coastal area have high vulnerability effect by sea level rise. Coastal area is important to support the economic development country. If the sea level rise was happened so many properties that losses. The problem like land use losses, people evacuation, diseases, sanitation, and economic losses will appear. Sea level rise can be forecasted by satellite imagery like ENVISAT, Topex/Poseidon, Jason1 and Jason2. All of the data can be processed by one of adds on in Microsoft Excel software. Flooded area was created by DEM SRTM data with 30 x 30 meter resolution. The result show that sea level rise 0,69 mm/year happened in Semarang. The forecasting result at 2100 in Semarang show change to be flooded area 1,8 km. The economic losses can be computed by describe land of use. The result show that economic losses is IDR 6,7 billion or IDR 36 million per hectare in 2100. 145 people will be evacuated if it’s happened. Physically adaptation like house type changing and create sea wall also non physically adaptation by creating relocation area will be needed to prepare if the forecast become real.
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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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