#TITLE_ALTERNATIVE#

• Main Author: SALIM (NIM:25713309), RIYADHI
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/30553
• Institution: Institut Teknologi Bandung

<p align="justify">Population’s growth and diversity of activities in large cities such as industrialization, urbanization and economic’s growth, giving impact to the increase of total solid waste. The relationship between national income with total production of waste, a country with low income will produce a less waste than a higher income country. The purpose of this research is the analyzing the relationship between Economical, Social and Demography variables to waste generation. Then, by using model test of Khajuria and Daskalopoulus also analysis of Cluster, Quadrant and Classen typology to get the characteristic and the generation in Kalimantan, Sulawesi, Bali-Nusa Tenggara and Papua-Maluku Islands. Next the analisys of infrastructure development planning of waste management and the ability of each city. The Daskalopoulos models trial results showed the generation in each city can be explained by 98.6% of consumption expenditures per category. The Khajuria trial results showed the generation in Eastern Indonesia can be explained by 93.8% by value of the total population, GDP and literacy rates. and the test results Khajuria able to explain the development of waste 92% by value of the total population, population density, GDP, economic growth, the literacy rate and the old school. Based on cluster analysis, quadrant and classen typology capital cities in Eastern Indonesia is divided into three patterns. The first pattern is a group of cities with low generation characterized by relatively underdeveloped regions with GDP growth and low, high population density but low consumption. The second pattern is a group of cities with the generation is being characterized by rapidly advancing and growing regions with high economic growth but low GDP, high density with moderate consumption. The third pattern is a group of cities with high waste generation is characterized by relatively depressed regions with high GDP but low economic growth, low population density and high consumption. Results of analysis of waste generation is used for the planning of waste management infrastructure and associated with the ability of each city.<p align="justify">