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Protected areas whose function have been converted became problems in many regions. The cause of landslides is still being studied whether it is natural conditions or human contributions, namely land use changes. Investigation of land use change events play an important role in environmental sustainability. The purpose of this study was to determine the effect of land use change in protected areas against landslides. The method used is a surveillance method. The data is processed using non-parametric statistical tests by comparing the level of landslide hazards in areas where there is no land function conversion with those that have land function conversion. The data description shown that 58% of the protected function area in Samigaluh District had the potential for high landslides. The results obtained shown that there was a significant difference in the level of landslide hazard between areas with and without land function conversion. So that the land conversion that occurred in the protected forest in Samigaluh District had a significant effect on landslides as evidenced by the asymp sig (0.031) <p-value (0.05). This result becomes consideration for the local government in monitoring protected forests for environmental sustainability.

The investigation of environment impact have important role to development of a city. The application of the artificial intelligence in form of computational models can be used to analyze the data. One of them is rough set theory. The utilization of data clustering method, which is a part of rough set theory, could provide a meaningful contribution on the decision making process. The application of this method could come in term of selecting the attribute of environment impact. This paper examine the application of variable precision rough set model for selecting attribute of environment impact. This mean of minimum error classification based approach is applied to a survey dataset by utilizing variable precision of attributes. This paper demonstrates the utilization of variable precision rough set model to select the most important impact of regional development. Based on the experiment, The availability of public open space, social organization and culture, migration and rate of employment are selected as a dominant attributes. It can be contributed on the policy design process, in term of formulating a proper intervention for enhancing the quality of social environment.

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The urban physical development in Yogyakarta occurs continuously due to the high intensity of the economic activity in the service provision and trade sector. This physical development is considered to give a negative impact to the physical, social, and economic environment. This study aims to get an overview regarding the effect of the growth of the built area in Yogyakarta to the physical, social, and economic environment. This study utilizes both quantitative and qualitative approach. The land use change is assessed qualitatively by utilizing the spatial analysis method to figure out the expansion of the built area. The spatial analysis is also utilized to figure out the impact of development based on the community perceptions and put the finding of this study on the map. Meanwhile, the quantitative approach is utilized to conduct a statistical analysis in order to examine the level of influence of built-up area development on the physical, social, and economic aspect of each district in Yogyakarta City.