| Issue |
E3S Web Conf.
Volume 317, 2021
The 6th International Conference on Energy, Environment, Epidemiology, and Information System (ICENIS 2021)
|
|
|---|---|---|
| Article Number | 05019 | |
| Number of page(s) | 7 | |
| Section | Information System Management and Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202131705019 | |
| Published online | 05 November 2021 | |
Waste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System
1 Master of Information System, School of Postgraduate Studies, Diponegoro University, Semarang - Indonesia
2 Department of Statistics, Faculty of Science and Mathematics, Diponegoro University, Semarang – Indonesia
3 Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang – Indonesia
* Corresponding author: muhammadirfanhabsyi@gmail.com
Natural disasters due to climate change can cause thousand tons of waste and the loss of human life, environmental damage and also economic losses each year. One of the ways to increase the effectiveness of waste management is by conducting waste banks activities as a community based environmental governance. Here, waste banks can be considered as a valuable economic commodity and savings. The supporting factor for the success of waste banks activity is through a technological instrument as a community based management which encourage the innovations for developing waste banks to be more effective and integrated. The method applied to the waste banks management system is a combination of the k- means cluster and the geographic information system (GIS) to identify groups of waste banks that have identical types of waste and also their distribution. The waste banks information system is able to provide information of the distribution of waste, waste production, the selling price of waste, and also groups of waste banks that have identical types of waste. The data used are 50 waste banks over a period of 8 months. The waste banks information system is able to perform classification in order to evaluate the distribution of waste.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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