Implementation of Profile Matching to Determine Eligibility for Recipients of Website-Based Home Renovation Assistance
Abstract
The home renovation assistance program for low-income communities serves as a strategic solution to address the issue of uninhabitable housing across various regions, including Tanah Laut Regency. However, the manual selection process for determining eligible recipients often leads to subjectivity and inaccurate targeting. This study aims to develop a web-based decision support system using the Profile Matching method to enhance objectivity and efficiency in the selection process. Data were collected through interviews conducted in Tanjung Village, Bajuin District. The assessment criteria were grouped into core factors—namely wall type, roof type, and floor type—and a secondary factor, which is age. The core factors were weighted at 75%, while the secondary factor was weighted at 25%. The system was developed using the Laravel framework and supports two user roles: admin and staff. The system was then tested using blackbox testing and validated for accuracy against manual calculations. As a result, the system successfully ranked the eligibility of nine candidates with 100% accuracy, and the blackbox testing confirmed that all features functioned properly. This study demonstrates that the Profile Matching method is effective in supporting data-driven decision-making in the distribution of social assistance.
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