Smart City Priority Correlation Using Differential Equation

Kurniawan, Fachrul and Nugroho, Supeno MS and Hariadi, Mochamad (2018) Smart City Priority Correlation Using Differential Equation. Computing in Science & Engineering. p. 1. ISSN 1521-9615

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Full text available at: http://doi.org/10.1109/MCSE.2018.2873936

Abstract

Indonesia is the world's largest archipelagic country, with a total coastline length equal to that of Europe. It has 90 cities consisting of small, medium, big and metropolitan cities. It is deemed necessary to establish a system to render cities more modern and advanced in the hope of improving the prosperity of all Indonesian people. The adoption of smart city system should be implemented by making the best use of technology. The smart city concept for developing countries consists of eight parameters, namely smart energy, smart infrastructure, smart people, smart health, smart mobility, smart governance, smart education and smart technology. These parameters were identified from the analysis of the data collected from cities in Indonesia, which are distinguished into four different types of cities, namely small city, medium city, big city and metropolitan city. These principal parameters of smart city in Indonesia have a relationship that remains strong and positive as it correlates with urban population growth, and this correlation is made using differential modelling.

Item Type: Journal Article
Keywords: Smart cities; Sociology; Correlation; Mathematical model; key components; types of city; smart city; design; city data
Divisions: Faculty of Technology > Department of Informatics Engineering
Depositing User: Faizuddin Harliansyah
Date Deposited: 19 Dec 2018 01:01

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