57 CHAPTER V SIMULATION AND ANALYSIS V.1 Parameterization To construct a presentable simulation model for plastic waste management in Bandung, there are several parameters that have been identified. All parameters used in this study are presented as below. Table V-1 List of Parameters No. Parameter Quantity Unit 1. Crude birth rate (BPS, 2013) 16,4 1/year 2. Crude death rate (BPS, 2013) 3,2 1/year 3. Initial population (BPS, 2013) 2,142,194 People 4. Initial total waste (Dinas PDK, 2013) 6,831,764 Kilogram (Kg) 5. Initial plastic waste (Dinas PDK, 2013) 683,176 Kilogram (Kg) 6. Initial individual collector (kompas.com, 2003; BPS, 2011; Azhari, 2013) 800 People 7. Current capacity of public service (Dinas PDK, 2013) 4,258,000 Kilogram (Kg) 8. Plastic waste proportion (Dinas PDK, 2013) 10 % 9. Organic waste proportion (Dinas PDK, 2013) 50 % 10. Cost of waste management (Dinas PDK report, 2013) 8,800 Rupiah/Kg 11. Plastic recycling index (kompas.com, 2013) 60 % 12. Plastic reuse index (kompas.com, 2013) 40 % Koleksi digital milik UPT Perpustakaan ITB untuk keperluan pendidikan dan penelitian 58 V.2 Model Validation After the model for existing condition is constructed, the model needs to be tested to see whether the model is valid enough to represent the real condition. To validate the model, historical data from the real condition is used as a comparison to the simulation result. There are four components that used as model validation in this study. The first component is total population generated from the system compared with the total population from the historical data. As described before in chapter IV, the most suitable estimation for Bandung population number is linear function.