SPATIAL ANALYSIS OF FIRE OCCURRENCE IN JAKARTA, INDONESIA

Authors

  • Ika Rosantiningsih School of Strategic and Global Studies Universitas Indonesia
  • Chotib School of Strategic and Global Studies Universitas Indonesia

DOI:

https://doi.org/10.34123/icdsos.v2023i1.275

Keywords:

Fire Occurrence, spatial analysis, GeoDa

Abstract

The occurrence of fire incidents in urban villages of Jakarta Special Capital Region significantly impacted losses, necessitating prevention and handling efforts. Therefore, this study aims to analyze the spatial influence of social and physical variables (independent variables) such as sex ratio, vulnerable age population, number of buildings, and size of slum areas on fires (dependent variable) in Jakarta Special Capital Region. The analysis area includes five municipalities of Jakarta Special Capital Region. Secondary data were obtained from Central Agency of Statistics of Jakarta Special Capital Region, maps from the official site jakartasatu.jakarta.go.id, and publication data from Government of Jakarta Special Capital Region for 2020. Furthermore, the quantitative approach in descriptive and inferential analysis, determined using Microsoft Excel and GeoDa version 1.20.0.10, was used to evaluate the spatial relationships between adjacent sub-districts. Although the regression data processing results using GeoDa were significant, the spatial regression results with Lagrange Multiplier (LM) Lag and Lagrange Multiplier (LM) error > 0.05 were insignificant and significant when using the parameter 0.1. This means fire symptoms in Jakarta Special Capital Region do not have a spatial effect, contrary to the clustering observed between dependent and independent variables using Morans'I and Scatter Plots. The results of this study can aid the Jakarta provincial government in preventing and handling potential fires by restructuring slum areas to minimize the likelihood of such incidents.

Author Biographies

Ika Rosantiningsih, School of Strategic and Global Studies Universitas Indonesia

Ika Rosantiningsih, S. Ars

2006 : Graduated from S1 Architecture, University of Indonesia

2007 - 2015 : Previous work as an architect at the architecture consultant of CV Noesis-Rika Sjoekri Architect

2015 - now : Worked as a Civil Servant at the Capital Investment and One-Stop Services Office of DKI Jakarta Province Government

2022 - now : Students of the Masters Program in Urban Development Studies - Schools of Strategic and Global Studies, University of Indonesia

 

Chotib, School of Strategic and Global Studies Universitas Indonesia

Dr. Chotib, M.Si

Lecturer of Urban Development Studies - Schools of Strategic and Global Studies, University of Indonesia

List of scopus indexed scientific publication in latest years :
1. The Correlation of SDG 1 and 8 and Spatial Effect of Human Development Index in Central Java( 2021 IOP Conf. Series: Earth Environ. Sci. 940012063)
2. Commute Time Decisions in DualWorker Households (Atlantis Press Proceeding: Advances in Social Science, Education and Humanities Research Vol. 558/Mei 2021)
3. Spatial Analysis of The Influence of Education and Income on Indonesia’s Democracy Index in 2015 and 2019 (International Journal of Demos Vol. 3/Issue 1/April 2021)
4. Spatial Entrapment of Women Workers in Metropolitan Areas (The Geomate International Society Vol. 20/Issue.80/April 2021)
5. Service Quality Gap Analysis of Water Supply in Urban Areas: Water Supply Company, Bogor Regency (Book Chapter: Springer Nature Singapore, ISBN: 978-981-15-3765-32021)
6. Factor Affecting the Perception of the Surrounding Community in Maintaining the Sustainability of the Setu Babakan Betawi Cultural Village in South Jakarta (Book Chapter: Springer Nature Singapore, ISBN: 978-981-15-3765-32021)
7. Analysis of the Impact of Urban Development on River Water Quality Case Study of the Pesanggrahan River (Book Chapter: Springer Nature Singapore, ISBN: 978-981-15-3765-32021)

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Published

2023-12-29

How to Cite

Rosantiningsih, I., & Chotib, C. (2023). SPATIAL ANALYSIS OF FIRE OCCURRENCE IN JAKARTA, INDONESIA. Proceedings of The International Conference on Data Science and Official Statistics, 2023(1), 403–416. https://doi.org/10.34123/icdsos.v2023i1.275