Data mining based on dynamic waste information system in Surakarta City

Tri Suryanti, P. Setyono, Ari Handono Ramelan
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Abstract

The waste problem is a problem for all parties because the negative impacts caused by waste are very diverse. Increase in waste volume caused by community activities. Research related to waste management that utilizes information technology and data mining is currently still widely open. It is hoped that the use of this technology can support decision-making in sustainable development. As a complement to this research, it also reveals that the public's perception of waste management regarding waste volume is a negative perception, which shows that the more people know about information about waste management, it has an impact on reducing waste volume. On the other hand, the positive perception shows that there is less Information about waste management has an impact on increasing the volume of waste. Both the results of the data mining process and public perception are in agreement. It is hoped that this suitability can be used as support for decision-making regarding waste management to maintain the sustainability of abiotic, biotic and cultural factors
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基于苏腊卡尔塔市动态废物信息系统的数据挖掘
废物问题是各方都面临的问题,因为废物造成的负面影响多种多样。社区活动导致垃圾量增加。目前,利用信息技术和数据挖掘进行废物管理的相关研究仍处于广泛开放阶段。我们希望这项技术的使用能够为可持续发展的决策提供支持。作为本研究的补充,本研究还揭示了公众对废物管理在废物量方面的认知是负面的,这表明人们对废物管理信息的了解越多,对减少废物量就越有影响。另一方面,正向认知表明,有关废物管理的信息对增加废物量的影响较小。数据挖掘过程和公众认知的结果是一致的。希望这种适宜性能为废物管理决策提供支持,以保持非生物、生物和文化因素的可持续性。
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