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Identifying component for building smart city maturity model through document based weighting and city problem in Indonesia

机译:通过印度尼西亚文档的权重和城市问题来识别构建智能城市成熟度模型的组件

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Solving city problems through smart city concept has become a trend in Indonesia. Many cities try to develop this concept. However, there are so many concepts on smart city. This situation makes cities government confuse about where to start, when cities want to develop smart city, what smart city is and what the components are to build it since the definition on smart city becomes fuzzy and wide. As a way to solve the fuzziness in defining smart city and its implementation, scholars have developed maturity model, which is able to identify and to evaluate maturity of the cities. However, the maturity model has one critical problem in constructing the list of components. Components are very important in smart city maturity development. It has been used to identify indicators, parameters or objectives to develop and to implement smart city. This paper discusses how the smart city components are being identified using document term weighting. As a result we identify 17 components based on document term weighting.
机译:通过智能城市概念解决城市问题已成为印度尼西亚的趋势。许多城市都试图发展这个概念。但是,智能城市上有这么多概念。这种情况使城市政府混淆在城市开始的地方,当城市想要开发智能城市时,智能城市是什么,自智能城市的定义变得模糊和宽,所以构成的组件是什么组成部分。作为解决智能城市的模糊和其实施的一种方法,学者们已经开发了成熟模型,能够识别和评估城市的成熟度。然而,到期模型在构建组件列表时具有一个关键问题。组件在智能城市成熟度发展中非常重要。它已被用于识别开发和实施智能城市的指标,参数或目标。本文讨论了如何使用文档术语加权识别智能城市组件。结果,我们根据文档术语加权识别17个组件。

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