Abstract

Every year, some social assistance is distributed by the Ministry of Social Affairs to each village/Nagari aimed at low-income families. The problem of poverty data almost occurs in all village/Nagari governments. In Koto Baru Simalanggang, several issues arose, including social assistance being mistargeted, poverty assessment being very complex, no system helped in DTKS, and no empowerment/system was carried out in reducing social problems; thus, all were put into DTKS without being able to see the details. Thus far, for the examination of the data of the proposer of assistance, the Nagari government still uses manual methods; therefore, it takes a long time and is subjective to the settlement of low-income families. Posdaya Bundo Saiyo is assisting in Koto Baru Simalanggang for the poor beneficiaries. There needs to be a decision support system to determine people with low incomes in this Nagari; using the method to determine people with low incomes is more objective. The results of this study are in the form of a decision support system for the determination of people with low incomes, which is used as a reference for the Bundo Saiyo Posdaya to make recommendations for the determination of people with low incomes to the Mayor of Koto Baru Simalanggang using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytical Hierarchy Process (AHP) methods. Based on the comparisons made in this research, the AHP and TOPSIS methods have the same ranking results

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