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How to cite (IEEE):
I. Yanto, A. Apriani, R. Hidayat, M. Mat Deris, & N. Senan
"Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution," JOIV : International Journal on Informatics Visualization, vol. 5, no. 3, , pp. 291-297, Sep. 2021.
https://doi.org/10.30630/joiv.5.3.628
How to cite (APA):
Yanto, I., Apriani, A., Hidayat, R., Mat Deris, M., & Senan, N.
(2021).
Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution.
JOIV : International Journal on Informatics Visualization, 5(3), 291-297.
https://doi.org/10.30630/joiv.5.3.628
How to cite (Chicago):
Yanto, Iwan Tri, Apriani, Ani, Hidayat, Rahmat, Mat Deris, Mustafa, AND Senan, Norhalina.
"Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution" JOIV : International Journal on Informatics Visualization [Online], Volume 5 Number 3 (23 September 2021)
https://doi.org/10.30630/joiv.5.3.628
How to cite (Vancouver):
Yanto I, Apriani A, Hidayat R, Mat Deris M, & Senan N .
Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution.
JOIV : International Journal on Informatics Visualization [Online]. 2021 Sep;
5(3):291-297.
https://doi.org/10.30630/joiv.5.3.628
How to cite (Harvard):
Yanto, I., Apriani, A., Hidayat, R., Mat Deris, M., & Senan, N.
,2021.
Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution.
JOIV : International Journal on Informatics Visualization, [Online] 5(3), pp. 291-297.
https://doi.org/10.30630/joiv.5.3.628
How to cite (MLA8):
Yanto, Iwan Tri, Ani Apriani, Rahmat Hidayat, Mustafa Mat Deris, & Norhalina Senan.
"Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution." JOIV : International Journal on Informatics Visualization [Online], 5.3 (2021): 291-297. Web. 29 Nov. 2023
, https://doi.org/10.30630/joiv.5.3.628
BibTex Citation Data :
@article{JOIV628,
author = {Iwan Tri Yanto and Ani Apriani and Rahmat Hidayat and Mustafa Mat Deris and Norhalina Senan},
title = {Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {5},
number = {3},
year = {2021},
keywords = {Environment impact MDA; clustering; multi soft set; multinomial distribution.},
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. },
issn = {2549-9904}, pages = {291--297}, doi = {10.30630/joiv.5.3.628},
url = {https://joiv.org/index.php/joiv/article/view/628}
}
Refworks Citation Data :
@article{{JOIV}{628}, author = {Yanto, I., Apriani, A., Hidayat, R., Mat Deris, M., Senan, N.}, title = {Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {5}, number = {3}, year = {2021}, doi = {10.30630/joiv.5.3.628}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.