#TITLE_ALTERNATIVE#

• Main Author: F. RISTHA (NIM 12103025), AZIMULLAH
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/11897
• Institution: Institut Teknologi Bandung

Based on data in 2007, total Indonesia's coal resources was 69,98 billion ton and the reserves was 11,84 billion ton. 5 billion ton of the reserves was Low Rank Coal (LRC). Government published energy mix policy, within need of coal energy national will achieve 33% in 2025 periodically. By this policy, the use of coal resources in all level must be optimized include the reserve of Low Rank Coal.<p> <br /> <br /> <br /> <br /> <br /> In the future, the estimate of coal consumption by cement industry will increase caused by national development. The increase of coal consumption by cement industry and energy mix policy cause an expression for cement industry to use LRC. The estimate of LRC that need by cement industry in 2009-2015 will approach 103,7 million ton, then LRC need by domestic is 439,1 million ton. In order to fulfil the LRC that need by cement industry (demand), 2 scenarios made in order to fulfil the need of cement industry (supply) within calculate of national LRC need.<p> <br /> <br /> <br /> <br /> <br /> First scenario is pessimistic scenario based on the LRC contractor production in 2003-2007, and second scenario is optimistic scenario in adjust LRC production and LRC need. The result of pessimistic scenario show the total of LRC production in cement industry is 45,9 million ton, so based on this scenario the supply of LRC will defisit about 57,8 million ton. At the time, result of optimistic scenario show the total of LRC production in cement industry is 111,4 million ton, so based on that, the LRC need by cement industry is fulfilled. The compare of optimistic scenario and pessimistic scenario based on the previous years production, contractors can not produce LRC approach the estimation of optimistic scenario production.<p> <br /> <br /> <br /> <br /> <br /> Both of the scenarios use linear programming for the optimation to get the best supply for Indonesia's cement industry based on price and transportation cost of LRC.