International Journal of Advances in Intelligent Informatics ISSN 2442-6571 Vol. 4, No. 1, March 2018, pp. 70-75 70 https://doi.org/10.26555/ijain.v4i1.109 http://ijain.org ijain@uad.ac.id Variable precision rough set model for attribute selection on environment impact dataset Ani Apriani a,1,* , Iwan Tri Riyadi Yanto b,2 , Septiana Fathurrohmah c,3 , Sri Haryatmi d,4 , Danardono d,5 a Department of Geology Engineering, STTNAS, Yogyakarta, Indonesia b Department of Information System, Universitas Ahmad Dahlan, Yogyakarta, Indonesia c Department of Urban and Regional Planning, STTNAS, Yogyakarta, Indonesia d Department of Mathematics, Universitas Gajah Mada, Yogyakarta, Indonesia 1 aniapriani@sttnas.ac.id; 2 yanto.itr@is.uad.ac.id; 3 septiana@sttnas.ac.id; 4 s.kartiko@yahoo.com; 5 danardono@ugm.ac.id * corresponding author 1. Introduction Development is a process of social changes. It aims to enhance the society livelihood, without jeopardizing its environmental and cultural sustainability. Development may enable people within a society to decide their own future. In other words, it has to be participative. Based on those standpoints of views, development should elaborate all of the economic, social, and environmental aspects. Those aspects are inevitably important within the concept of sustainable development. Nevertheless, those three aspects are also the most vulnerable part which could be influenced by the side-effect of development. The imbalance development process may cause negative effect on the either economic, social, or environmental aspects of a society[1]–[3]. The development is often assumed as the physical development in a certain area. It is often marked by the infrastructure and facility enhancement in order to fulfill the social and economic needs of a society. One of the obvious sign of physical development is the land conversion: either convert unused land into building and structure or land function conversion, such as from residential into commercial use. Physical development may cause economic, social, and environmental shifts[4], [5]. ARTICLE INFO ABSTRACT Article history Received September 9, 2017 Revised March 13, 2018 Accepted March 31, 2018 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. This is an open access article under the CC–BY-SA license. Keywords Environment VPRS Error classification Attribute selection