2017 International Conference on ICT for Smart Society (ICISS) 2017
DOI: 10.1109/ictss.2017.8288867
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Waste utilities development in industrial zone based on smart city concept and co creation: Case study in bekasi city

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Cited by 2 publications
(3 citation statements)
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“…Chow et al [15] developed a web-based prototype portal for complex online data sets to provide real-time warnings to support treatment plant operation. Khatri et al [37] considered the recycling of wastewater, and Saputra et al [38] focused on the collaboration of stakeholders. e value of relevant data on domestic wastewater has also received attention, and data-driven methods have been widely used in the wastewater and water industry.…”
Section: Smart Urban Domestic Wastewatermentioning
confidence: 99%
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“…Chow et al [15] developed a web-based prototype portal for complex online data sets to provide real-time warnings to support treatment plant operation. Khatri et al [37] considered the recycling of wastewater, and Saputra et al [38] focused on the collaboration of stakeholders. e value of relevant data on domestic wastewater has also received attention, and data-driven methods have been widely used in the wastewater and water industry.…”
Section: Smart Urban Domestic Wastewatermentioning
confidence: 99%
“…Public participation is an important feature of SUDW that embodies the notion of "bottom-up" and supports co-creation and social innovation [38]. Public participation can facilitate citizen involvement and support informed and sustainability-aware decisions based on an extended awareness of the environment and the consequences of human actions [59].…”
Section: Public Communication and Participationmentioning
confidence: 99%
“…There are some examples of the implementation of a smart city in Bekasi that can be seen, i.e. mobile crowdsensing (Sanjaya, Supangkat, and Sembiring 2018), waste utility development (Saputra, Supangkat, and Iqbal 2017), how educating its citizen about smart city correlates with their attitude (Fanny 2017), its communication strategy (Widodo and Permatasari 2020), and information extraction for traffic congestion in social network (Alifi and Supangkat 2016). However, the study related to what extent or the quality of the smart city implementation in Bekasi City hasn't been done yet, nor the comparison among the performance of the city's pillars.…”
Section: Introductionmentioning
confidence: 99%