Government & Resilience
Vol. 3 No. 2 (2025): Government & Resilience (November 2025)

Service Quality Disparities in Public Healthcare: A Comparative Study of Customer Expectations and Perceptions in Urban and Remote Areas of Indonesia

Sofiaturrohmah, Siti (Unknown)
Andi Kasman (Unknown)



Article Info

Publish Date
04 Nov 2025

Abstract

This study aims to analyze the gap between public expectations and perceptions of healthcare services in Indonesia, with a focus on four regions: DKI Jakarta, DI Yogyakarta, Papua, and Maluku. Employing a qualitative approach, the research is based on secondary data analysis to evaluate both customer expectations and perceived service quality. The findings reveal a significant disparity between what citizens expect and what they experience, particularly influenced by factors such as service quality, communication, infrastructure, and demographic characteristics. Regions with limited geographical accessibility and underdeveloped infrastructure—such as Papua and Maluku—demonstrate notably more negative perceptions compared to more urbanized areas like DKI Jakarta and DI Yogyakarta. The study concludes that addressing this gap requires strategic interventions, including improving healthcare worker competencies, leveraging appropriate technological innovations, and fostering honest and transparent communication between providers and patients. The study recommends continuous professional training for medical personnel, substantial investment in healthcare infrastructure, and the establishment of effective patient feedback mechanisms. These measures are essential to enhance patient satisfaction, build public trust, and strengthen loyalty toward healthcare services in Indonesia.

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Journal Info

Abbrev

GR

Publisher

Subject

Environmental Science Social Sciences

Description

Government & Resilience (G&R) is an international journal that examines the intersection of policy, information technology, government, development, environment, and social dynamics. In particular, it focuses on artificial intelligence in government, how policies affect government information flows; ...