Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution

Iwan Tri Yanto - Department of Information Systems, University of Ahmad Dahlan, Yogyakarta, Indonesia
Ani Apriani - Faculty of Technology Mineral, Institut Teknologi Nasional Yogyakarta, Yogyakarta, Indonesia
Rahmat Hidayat - Department of Information Technology, Politeknik Negeri Padang, Padang, West Sumatera, Indonesia
Mustafa Mat Deris - Faculty of Applied Science and Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, Malaysia
Norhalina Senan - Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, Malaysia


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.5.3.628

Abstract


Every development activity is always related to human or community aspects. This can also lead to changes in the characteristics of the community. The community's increasing awareness and critical attitude need to be accommodated to avoid the emergence of social conflicts in the future. This research is to find out how the public perception about the impact of development on the environment. Two methods are used, i.e., MDA (Maximum Dependency Attribute) and MSMD (the Multi soft set multivariate distribution function). The MDA is to determine the most influential attribute and the Multi soft set multivariate distribution function (MSMD) is to group the selected data into classes with similar characteristics. This will help the police producer plan the right mediation and take quick activity to make strides in the quality of the social environment. The experiment conducted level of impact based on the clustering results with the greatest number of member clusters is cluster 1 (very low impact) with 32.25 % of total data following cluster 5 (Very High impact) with 24.25 % of total data. The experiment obtains the level of impact based on the clustering results. The greatest number of member clusters is cluster 1 (extremely low impact) with 32.25 % of total data following cluster 5 (Very High impact) with 24.25 % of total data. The scatter area impact is spread at districts 6, 7, 10, 11, the most of very high impact and districts 1,2,3,4,5,8 the lowest impact. 


Keywords


Environment impact MDA; clustering; multi soft set; multinomial distribution.

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