Abstract
Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis, which primarily affects the lungs but can also affect other organs. Drug-Resistant Tuberculosis (DR-TB) poses a serious challenge to TB control in Indonesia because its treatment requires a longer duration and is associated with more severe side effects. One of the major challenges in the management of DR-TB is patients’ non-adherence to treatment, which is often influenced by financial constraints, including transportation costs to healthcare facilities. Yayasan Mentari Meraki Asa has implemented a transportation assistance program (enabler) since 2020 to support patients in completing their treatment. This study aims to develop a system for selecting prospective recipients of enabler funds for patients with DR-TB using the Fuzzy Simple Additive Weighting (Fuzzy SAW) algorithm. The system is designed to evaluate several criteria, namely income, number of dependents, disease severity, and the level of patient dependency. Through this approach, the distribution of assistance is expected to become more objective, targeted, and transparent, while supporting improvements in the treatment success rate of DR-TB.
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