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Illegal municipal waste dumping practices in developing countries may be impacted by many factors such as socioeconomic, demographic, availability of waste collection facilities, recycling sites, and spatial characteristics. This study uses spatial regression analysis to identify which factors primarily impact illegal waste dumping practices. For this purpose, 8 variables explain the data for the 177 subdistricts used in the spatial regression analysis. This study used ordinary least squares (OLS) and geographically weighted regression (GWR) methods to build a regression model of the factors identified. OLS analysis showed that only elevation and population density were found to become determinants of illegal waste dumping activity based on spatial regression methods. Elevation above sea level is positively correlated while population density is negatively correlated with the number of illegal dumping generations. GWR shows a better statistical value than OLS, where the significance of the adjusted R-square increased from 0.24 to 0.61. This study may help reduce the number of illegal waste dumping practices, especially in a metro city context.

The annually increasing number of urban population will have impacts on waste generation. Tembalang Sub-district as a sub-district located on the outskirts of Semarang City has significant developments in the term of population growth in correlation with waste generation. Within four years, waste generation in the Tembalang Sub-district increased from the fifth rank to the third rank. It is possible that this sub-district will become the first rank in Semarang City in waste generation. To be able to identify influential factors and spatial distribution pattern of waste generation in Tembalang Sub-district, it is necessary to apply statistical and spatial approach. This study uses quantitative methods with a statistical spatial analysis approach by using GIS. In addition, this research also intends to model the relationships of Solid Waste Generation by applying socio-economic variables. Based on the results of Ordinary Least Square analysis, social economy variables that affect the amount of waste generation in Tembalang Sub-district are the number of population and trading activities. The model of formed socio-economic variables has the effect of 25% towards the amount of waste generation. Spatial patterns identified from waste generation shows that what needs to be considered is the waste management in TPS (Temporary Waste Disposal) in Tembalang and Sendangmulyo.

Ekonomi Kreatif adalah sebuah konsep yang menempatkan kreativitas dan pengetahuan sebagai aset utama dalam menggerakkan ekonomi. Salah satu permasalahan yang dihadapi industri ekonomi kreatif adalah partisipasi dan sinergi para pemangku kepentingan secara keseluruhan belum cukup kuat. Kegiatan pemetaan dan penyusunan buku ini dilandasi pentingnya pemetaan sosial (social mapping) yang berlandaskan aspek informasi keruangan (Sistem Informasi Geografis). Metode yang digunakan adalah pendekatan secara partisipatif dan pendekatan secara spasial (pemetaan). Dengan terpetakannya seluruh potensi dalam komunitas ekonomi kreatif, diharapkan dapat saling berkoordinasi dan bekerjasama antar lembaga pemerintah, pelaku usaha dan institusi pendidikan dalam memajukan sektor-sektor ekonomi kreatif daerah secara bersama-sama. Hasil yang dicapai adalah masyarakat dapat mengetahui seluruh sebaran potensi daerah melalui penyusunan buku profil dan peta.