ANALYSIS THE EFFECT OF RELOCATION THE NATIONAL CAPITAL OF INDONESIA ON GREENHOUSE GAS EMISSIONS IN DKI JAKARTA USING A DYNAMIC SYSTEM APPROACH

• Main Author: Bestari Hilimi, linda
• Format: Theses
• Language: Indonesia
• Subjects: Teknik saniter dan perkotaan; teknik perlindungan lingkungan
• Online Access: https://digilib.itb.ac.id/gdl/view/58872
• Institution: Institut Teknologi Bandung

Since it was legalized as the National Capital in 1964, the population of DKI Jakarta has continued to increase. The population can increase the level of greenhouse gas emissions. This is caused by GHG emissions come from anthropogenic activities (human intervention) such as the use of energy that can produce CO2 emissions and the resulting waste contributes to the formation of CH4 emissions and so on. The government is trying to improve the environmental quality of DKI Jakarta by making a policy of moving IKN to East Kalimantan. So it is expected that the population of DKI Jakarta will decrease and the level of GHG emissions will decrease. The dynamics of population movement and changes in emission levels of DKI Jakarta can be modeled using STELLA 9.1.3 software with a dynamic system approach. The use of the system dynamic method is closely related to the pattern of behavior levels generated by the system over time. The result of BAU simulation is the population of DKI Jakarta increased from 8,524,152 people in 2010 to 12,210,557 people in 2037. This is directly proportional to the BAU simulation of GHG emission levels, where in 2010 the emission level of 35.9 million tons CO2-eq increased to 54.8 million tons CO2-eq in 2037. After carrying out the scenario of population reduction and increasing green open space , the level of GHG emissions in 2024 is optimistically reduced by 13,072%, moderately reduced by 7,86% and pessimistically reduced by 2,89%. The scenario is carried out by setting the assumption that population movement will only affect the level of GHG emissions in the household sub-sector, solid waste, wastewater, transportation and GHG emission levels.