Understanding Community Mobility through Life Satisfaction, Human Development, and ICT Development: a Data Mining Approach

Gunawan, Gunawan (2022) Understanding Community Mobility through Life Satisfaction, Human Development, and ICT Development: a Data Mining Approach. In: 2021 8th NAFOSTED Conference on Information and Computer Science (NICS), 21-22 Dec. 2021, Hanoi, Vietnam.

	PDF 41246 Gunawan 2022 NICS full.pdf Download (1MB)
	PDF 41246_Gunawan_2022_NICS_Turnitin.pdf Restricted to Registered users only Download (1MB)

Abstract

Prior studies have investigated community mobility to understand the spread of Covid-19 cases, especially during the early months. The goal of this study was to explain community mobility through social measures. Three composite measures, namely the social life satisfaction index, human development index, and ICT development index, were selected as social-related measures to explain community mobility. The data mining approach was adopted using the Knime Analytical Platform as the software and the Cross-Industry Standard Process for Data Mining as a process framework. The analysis covered the mobility fluctuation among 34 provinces in Indonesia using the data from Google Mobility Report from July 2020 to August 2021. Cluster analysis with the k-medoids algorithm grouped provinces into higher and lower mobility provinces. The findings indicated an association between mobility fluctuation among provinces and the social life satisfaction index, human development index, and ICT development index. Four provinces, namely Bali, Yogyakarta, Jakarta, and Riau Islands, had higher mobility, human development index, and ICT development index. The study provides evidence of factors explaining human mobility and thus enriches the literature on human mobility and the social impact of the Covid-19 pandemic. The finding also enhances the literature on applying data mining to social research at a country level. However, the generalization of this finding is limited as the analysis covers Indonesian data only. This study could be extended to other countries to arrive at more generalizable results across countries.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Covid-19, data mining, HDI, Knime, life satisfaction, mobility
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Engineering > Department of Industrial Engineering
Depositing User:	Gunawan 6182
Date Deposited:	11 Feb 2022 02:39
Last Modified:	10 Jan 2023 07:18
URI:	http://repository.ubaya.ac.id/id/eprint/41246

Actions (login required)

View Item