Modeling the Accessibility of Hospitals and Community Health Centers in Serang City Using QNEAT 3.0 and Inverse Distance Weighting (IDW) in Geographic Information Systems

Abstract

This study aims to model and analyze the spatial accessibility of hospitals and community health centers in Serang City using the integration of the Quantum Network Analysis Toolbox (QNEAT) 3.0 and Inverse Distance Weighted (IDW) models based on Geographic Information Systems (GIS). The approach used is quantitative descriptive with spatial analysis based on secondary data from the Central Statistics Agency (BPS) of Serang City. QNEAT 3.0 analysis is used to calculate the distance and travel time to the nearest health facility via the main road network, while the IDW method is used to interpolate and visualize the distribution of accessibility values ​​​​across the study area. The results show that central areas such as Serang and Cipocok Jaya Districts have a high level of accessibility, while outlying areas such as Walantaka, Kasemen, and Curug show low accessibility due to limited road networks and uneven distribution of facilities. The integration of QNEAT 3.0 and IDW has proven to be able to provide a comprehensive spatial picture of the accessibility pattern of health facilities and can be used as a basis for policies on equal distribution of health services based on spatial data in Serang City.