Implementation of a Decision Support System for Social Assistance Fund Distribution Using a Combination of Analytical Hierarchy Process (AHP) and Simple Multi-Attribute Rating Technique (SMART) Based on Web

Riky Susanto

doi:10.31572/inotera.Vol10.Iss2.2025.ID555

Riky Susanto Universitas Pamulang

DOI: https://doi.org/10.31572/inotera.Vol10.Iss2.2025.ID555

Keywords: Social Assistance, Decision Support System, AHP, SMART, Target Accuracy

Abstract

Social assistance (bansos) is one of the government’s essential programs aimed at supporting economically vulnerable communities. However, the implementation of this program often faces challenges, particularly in accurately targeting beneficiaries. Many cases have been reported where eligible individuals do not receive assistance, while those who do not meet the criteria end up benefiting. This inaccuracy is mainly caused by manual and subjective selection processes, as well as limitations in the data used for decision-making.To address these issues, this study proposes the development of a Decision Support System (DSS) based on the Analytical Hierarchy Process (AHP) and the Simple Multi Attribute Rating Technique (SMART) methods. AHP is employed to determine the weight of each criterion through pairwise comparisons, while SMART is used to calculate alternative scores and rank them based on the predefined criteria. The combination of these two methods aims to produce a more accurate, objective, and accountable selection process.The DSS is implemented in the context of social assistance distribution in XYZ Village as a case study. The system is expected to improve transparency, fairness, and efficiency in the distribution process. Through a more systematic and data-driven approach, it is hoped that the assistance will be received by those who truly need it, while minimizing errors and disparities in field implementation.

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