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

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Fachrul Kurniawan, Felix Andika Dwiyanto, Gunawan Budiprasetyo, Muhammad In’Am Esha

2020 Journal of Green Engineering Vol. 10 Issue 10 Article Cited by 3 Quartile

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. © 2020 Alpha Publishers. All rights reserved.

Affiliations

Department of Informatic Engineering and Master of Informatics, Maulana Malik Ibrahim State Islamic University, Malang, Indonesia; Universitas Negeri, Malang, Indonesia; Politeknik Negeri, Malang, Indonesia; Department of Islamic Education, Maulana Malik Ibrahim State Islamic University, Malang, Indonesia