Waste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System

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 g...

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Autores principales:	Irfan Muhammad, Warsito Budi, Suryono Suryono
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/b06ea68e182c4ecbb7067e9a2e82bd5d
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spelling	oai:doaj.org-article:b06ea68e182c4ecbb7067e9a2e82bd5d2021-11-08T15:19:57ZWaste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System2267-124210.1051/e3sconf/202131705019https://doaj.org/article/b06ea68e182c4ecbb7067e9a2e82bd5d2021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/93/e3sconf_icenis2021_05019.pdfhttps://doaj.org/toc/2267-1242Natural 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.Irfan MuhammadWarsito BudiSuryono SuryonoEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 317, p 05019 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Irfan Muhammad Warsito Budi Suryono Suryono Waste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System
description	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.
format	article
author	Irfan Muhammad Warsito Budi Suryono Suryono
author_facet	Irfan Muhammad Warsito Budi Suryono Suryono
author_sort	Irfan Muhammad
title	Waste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System
title_short	Waste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System
title_full	Waste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System
title_fullStr	Waste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System
title_full_unstemmed	Waste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System
title_sort	waste banks management information system using k-means cluster approach based on geographic information system
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/b06ea68e182c4ecbb7067e9a2e82bd5d
work_keys_str_mv	AT irfanmuhammad wastebanksmanagementinformationsystemusingkmeansclusterapproachbasedongeographicinformationsystem AT warsitobudi wastebanksmanagementinformationsystemusingkmeansclusterapproachbasedongeographicinformationsystem AT suryonosuryono wastebanksmanagementinformationsystemusingkmeansclusterapproachbasedongeographicinformationsystem
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Waste Banks Management Information System Using K-Means Cluster Approach Based On Geographic Information System

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