Geospatial approach to accessibility of referral hospitals using geometric network analysts and spatial distribution models of covid-19 spread cases based on gis in bekasi city, west java

Ruki Ardiyanto(1*), Supriatna Supriatna(2), Tito L. Indra(3), Masita Dwi Mandini Manesa(4)

(1) Agency for the Assessment and Application of Technology (BPPT) and Department of Geography, University of Indonesia
(2) Department Geography, Faculty of Mathematics and Natural Sciences, University of Indonesia, Depok.
(3) Department Geography, Faculty of Mathematics and Natural Sciences, University of Indonesia, Depok.
(4) Department Geography, Faculty of Mathematics and Natural Sciences, University of Indonesia, Depok.
(*) Corresponding Author


Bekasi City has a high population density, as seen from its growth rate in 2020. Therefore, geospatial analysis is required to support and provide effective and efficient health services, evaluate the need for referral hospital capacity, and minimize the spread of COVID-19 cases in this city. The geospatial methods used in this study are Geometric Network Analyst and Geographic Weighted Regression (GWR), with Service Area (SA) used for analysis. The results based on the distance between the referral hospitals and settlements in Bekasi City showed that more than 2.201 million people, or 90%, have been well covered. Meanwhile, regarding travel time, 1.792 million people or 73% in eight sub-districts are in well-served areas. Conversely, referral hospitals do not cover four sub-districts, namely Bantar Gebang, Jati Sampurna, Medan Satria, and Jati Asih. The spatial modeling analysis results using GWR with spatial-temporal data recapitulation of data reports for eight months showed predictions for the spread of confirmed cases in six sub-districts, namely West Bekasi, North Bekasi, East Bekasi, Medan Satria, Mustika Jaya, and Rawalumbu. This implies that local governments need to suggest more referral hospitals serving people who live far from the existing referral hospitals.


COVID-19, Geospatial, Geometric Network Analyst, Service Area, Linear Regression, Destination Hospital

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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

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