Judul: Pengaruh Perubahan Luasan Glaciers Puncak Jaya Papua Indonesia Terhadap Kapasitas Panas dengan Menggunakan Citra Satelit TM/ETM+
Abstrak: Puncak Jaya glaciersis one of tropical glaciers in the earth that exists in Papua Island, Indonesia- Papua New Guinea. Glaciers have important function as phenomenon record, freshwater storage, and climate change indicator. Area, net radiation, and surface temperature of glaciers were measured by remote sensing method using landsat imagery data in 1989, 1997, 1999, 2000, 2004, 2007, and 2009. Glaciers area was measured by researcher using manual delination and using ArcGIS 9.3 to measure area. Glaciers volume was estimated using Bahr empirical formula, V = β A γ. The result showed total area loss in Puncak Jaya is 72,1% from 4,409 km2 in 1989 to 1,231 km2 in 2009. Total glaciers volume loss from 1989 to 2009 is 77,47%from 123,3 (10-3 km3) to 28,2 (10-3 km3). Nett radiation in glaciers area ranges from 107,5 W/m2 to 294,5 W/m2 with nett radiation mean per year per ice mass 206,2 W/m2. Glaciers albedo ranges from 0,19 to 0,53 with albedo mean per year per ice mass 0,37. Glaciers surface temperature ranges from -7,0oC to 7,0oC with surface temperature meanper year per ice mass -0,6oC. Heat capacity in glaciers area ranges from 0,30 (x 106 MJ K-1) to 110,37 (x 106 MJ K-1) from 1989 to 2009.
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Judul: Perubahan Kapasitas Panas Wilayah Akibat Perubahan Komposisi Tutupan Lahan Menggunakan Data Citra Landsat-5 TM
Abstrak: Regional heat capacity change is calculated from the ratio between the addition or subtraction of heat (ΔQ) with the increase or decrease in temperature (ΔT) region. The purpose of this study is to calculate the regional heat capacity change due to the changes of land cover composition with forest, shrubs, oil palm plantation and bare soil using Landsat-5 TM satellite data on 1994, 2000 and 2010. Total area that used on this study is 12971 ha. In 1994-2000, 4 % of forest area and 2% shrubs were increased, followed by additional of biomass forest 4.01 tons/ha and 2.83 tons/ha for shrubs. The increased of forest area and biomass (tons/ha) caused by forest and shrubs growth processing towards climax that added the canopy volume. So that, the regional heat capacity in 1994 amounted 19384 MJCo-1 increased to 19929 MJCo-1 in 2000. Data observation for 2000-2010 showed that forest area decreased by 66% due to forest’s clearing into oil palm plantations (47%), shrubs (8%), and bare soil (11%). But, plant’s biomass continue to increased, i.e 1.48 ton/ha for forest, 2.73 tons/ha for shrubs and 4.63 tons/ha for bare soil. Before 2000, there was no land cover by oil palm plantations, so the increasing rate from this land was the biggest than the three other lands, amounting to 122.29 tons/ha. Decreasing in the percentage of forest area does not cause a decrease in the heat capacity of the region. Intensive maintenance on oil plam plantation such as water management, fertilizer and planting space made it biomass productivity and ability to save the heat is greater than the forest. As the result, in 2010 regional heat capacity increased to 22508 MJCo-1.
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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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