Decision Support System for Selecting Primary Healthcare Facilities Using Web-Based SMART Method in Tasikmalaya City

Authors

  • Ramadhan Ariandi Nugraha Universitas Cipasung, Kabupaten Tasikmalaya, Jawa Barat, Indonesia
  • Dede Rizal Nursamsi Universitas Cipasung, Kabupaten Tasikmalaya, Jawa Barat, Indonesia https://orcid.org/0009-0007-6527-5987

DOI:

https://doi.org/10.51903/5dxdgx59

Keywords:

Decision Support System, SMART method, Primary Healthcare Facilities, Web-Based, Multi-Criteria Decision Making

Abstract

The uneven distribution of patient visits to Primary Healthcare Facilities in Tasikmalaya City is driven by the absence of objective, data-driven information that enables the public to compare service quality across available facilities. Community satisfaction surveys conducted in 2021 across five public health centers in Tasikmalaya recorded a facility completeness index of only 2.63, indicating a critically low level of public satisfaction regarding healthcare facility quality. This study aims to design and develop a web-based Decision Support System (DSS) to assist the public in selecting the most suitable FKTP according to their individual needs. The system was developed using the Waterfall model, implemented with PHP and MySQL, and built within the Visual Studio Code environment. The Simple Multi Attribute Rating Technique (SMART) method was applied to evaluate 30 Primary Healthcare Facilities alternatives across five criteria: facility completeness, BPJS service availability, road accessibility, waiting time, and operational hours. Data were collected through direct observation and semi-structured interviews with the Tasikmalaya City Health Office. System testing using Black Box Testing confirmed that all functional modules operated correctly with no processing failures detected. The resulting system enables users to dynamically assign criterion weights according to personal priorities, producing personalized and transparent Primary Healthcare Facilities recommendations. This research contributes an accessible, computation-based decision instrument that has the potential to promote equitable patient distribution across all Primary Healthcare Facilities in Tasikmalaya City.

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Published

2026-10-28

Issue

Vol. 5 No. 3 (2026): November

Section

Decision Support Systems

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Copyright (c) 2026 Ramadhan Ariandi Nugraha, Dede Rizal Nursamsi

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