Sustainable development for smart city education based on features and parameters assessment modelling slope one algorithm

Kurniawan, Fachrul and Dwiyanto, Felix Andika and Budiprasetyo, Gunawan and Esha, Muhammad In'am (2020) Sustainable development for smart city education based on features and parameters assessment modelling slope one algorithm. Journal of Green Engineering, 10 (10). pp. 9801-9811. ISSN 2245-4586

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Abstract

Smart city concept has become an opportunity for sustainable development in developing countries, such as Indonesia. The successful implementation of smart city is related to several key factors. One of which is education. This study describes an educational concept, especially for the youth generation who learn computer science, to introduce and educate them on the smart city concept. The education is related to the urban big data based on several important sectors in a smart city such as energy, education, government, technology, mobility, and health. The concept is formed as data processing and analyzing related to the features and parameters in a smart city. The data processing uses slope one algorithm and differential popularity to find out the value of each feature in a smart city. Furthermore, by knowing the value of each feature, it can be used as a reference and recommendation to develop an unfavorable sector.

Item Type: Journal Article
Keywords: smart city; education; feature and parameters; slope one algorithm
Subjects: 08 INFORMATION AND COMPUTING SCIENCES > 0802 Computation Theory and Mathematics
08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software
08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems
Divisions: Faculty of Technology > Department of Informatics Engineering
Depositing User: Fachrul Kurniawan
Date Deposited: 27 Nov 2020 13:43

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