PEMODELAN EMISI GAS RUMAH KACA PADA LAHAN SAWAH MENGGUNAKAN SISTEM DINAMIK DI KABUPATEN BONE = MODELING OF GREENHOUSE GAS EMISSIONS IN RICEFIELD USING SYSTEM DYNAMICS IN BONE DISTRICT

Greenhouse gases are formed naturally or as a result of human activities, one of which is the productivity of paddy fields which encourage an increase in the concentration of greenhouse gas emissions in the atmosphere. Indonesia is a part of the UNFCCC at the climate change convention which is committed to reducing greenhouse gas emissions, especially South Sulawesi. Bone Regency has the largest paddy field in South Sulawesi, the contributor to greenhouse gas emissions in rice fields is influenced by the area of rice fields. Efforts need to be made by modeling greenhouse gas emissions and analyzing policy interventions to support planning for reducing greenhouse gas emissions. This study aims to: 1) Determine the area of rice fields in Bone Regency in 2011 – 2020; 2) Analyzing parameters and interrelationships between parameters in dynamic system modeling; 3) Determine the amount of greenhouse gas emissions caused by paddy fields through dynamic system modeling. The method used is dynamic system. The results showed: 1) The area of rice fields in Bone Regency experienced an increase and decrease in area; 2) Based on the results of parameter analysis, several parameters and their relationships were obtained which have been analyzed with literature studies including fertilization, carbon storage in soil, fertilizer emission factors, irrigated and non-irrigated rice fields, irrigated and non-irrigated rice fields emission factors, fertilizer emissions, cultivation emissions to produce total rice field emissions; 3) The total emission of greenhouse gases in paddy fields in 2030 is 15,617.54 tonsCO2. The scenario of the planting index of greenhouse gas emissions in paddy fields in 2030 has decreased to 13,556.03 tonsCO2. For the scenario of using fertilizers, the total greenhouse gas emissions also decreased to 15,258.68 tonsCO2. This shows that using the policy scenario is effective in the action plan for reducing greenhouse gas emissions in paddy fields.
Keywords : Greenhouse Gas Emissions, System Dynamic, Policy Scenario