Optimization of Infrastructure and Medical Equipment Application (ASPAK) at Bumi Arjo Health Center Using the HOT-Fit Model

Setria Nur Afifah; Siti Halimatul Munawarah Siti; Iwan Stia Budi; Indah Fasha Palingga

doi:10.30787/gaster.v24i1.2089

Authors

Setria Nur Afifah Health Policy Administration, Faculty of Public Health, Sriwijaya University, Palembang
Siti Halimatul Munawarah Siti Health Policy Administration, Faculty of Public Health, Sriwijaya University, Palembang
Iwan Stia Budi Health Policy Administration, Faculty of Public Health, Sriwijaya University, Palembang
Indah Fasha Palingga Health Policy Administration, Faculty of Public Health, Sriwijaya University, Palembang

DOI:

https://doi.org/10.30787/gaster.v24i1.2089

Keywords:

ASPAK, Human, Organization, Technology, Environment

Abstract

Background: Technology is vital in improving healthcare quality through effective management of facilities, infrastructure, and medical equipment via the ASPAK system. At Bumi Arjo Health Center, ASPAK performance reached only 41.52%, far below the national target of 60%, indicating the need for optimization. Objective: This study analyzed the optimization of ASPAK implementation at Bumi Arjo Health Center using the HOT-Fit framework (Human, Organization, Technology, and Environment). Method: A qualitative descriptive approach was applied to explore factors influencing ASPAK implementation. Data were obtained through in-depth interviews, observation, and document review with six informants. Credibility was ensured through triangulation of sources, methods, and data. Analysis used content analysis aligned with HOT-Fit dimensions. Result: ASPAK optimization was influenced by several interrelated factors. In the human aspect, limited technical understanding and workload hindered data consistency. Organizationally, leadership supervision and role clarity were essential, though inter-unit coordination remained weak. Technological barriers included system errors, unstable networks, and limited supporting devices. Environmentally, weak cross-sector collaboration and inadequate external support constrained resources. Nevertheless, ASPAK improved documentation quality, data accuracy, and evidence-based planning. Conclusion: ASPAK optimization relies on leadership commitment, inter-sectoral collaboration, and strengthened digital capacity among users. Theoretically, this study refines the HOT-Fit model by highlighting environmental and policy dimensions, while practically providing recommendations to enhance digital health governance in Indonesia’s primary healthcare system.

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