The budget allocation for the village fund is insufficient to meet the target in the Supplementary Food Assistance Program for Stunted Toddlers in Batusumur Village. This study aims to develop a recommendation system using the AHP-TOPSIS method to ensure no errors in aid distribution. The research method uses the Heritage Study method through books and journals related to the decision support system of aid recipients as well as interview methods to the village and community.. Data collection is conducted through observation and interviews. The research findings indicate that the implementation of AHP-TOPSIS for recipients of Supplementary Food Assistance for Stunted Toddlers in Batusumur Village can assist the government in addressing the issue of misallocation of aid, resulting in more accurate and community-aligned outcomes. The implementation of AHP-TOPSIS for recipients of Supplementary Food Assistance for Stunted Toddlers in Batusumur Village with an accuracy rate of over 80% demonstrates that the application functions effectively according to its purpose.Penerimaan anggaran dana desa tidak mencukupi untuk memenuhi target dalam Program Bantuan Pemberian Makanan Tambahan Bagi Balita Stunting di Desa Batusumur. Penelitian ini bertujuan untuk mendapatkan rancangan sistem rekomendasi menggunakan metode AHP TOPSIS kepada pengguna agar tidak ada kesalahan penerima bantuan. Metode penelitian ini menggunakan metode Studi Pusaka melalui buku dan jurnal terkait sistem pendukung keputusan penerima bantuan serta metode wawancara kepada pihak desa dan masyarakat. Metode pengumpulan data dilakukan melalui observasi dan wawancara. Hasil penelitian menunjukkan bahwa Implementasi AHP-TOPSIS pada penerima bantuan PMT Balita Stunting di Desa Batusumur ini dapat membantu pemerintah dalam menyelesaikan masalah ketidaktepat sasaran penerima bantuan tersebut sehingga hasilnya lebih akurat dan sesuai harapan masyarakat. Implementasi AHP-TOPSIS pada penerima bantuan PMT Balita Stunting di Desa Batusumur dengan nilai ketepatan lebih dari 80% menunjukan bahwa aplikasi ini berjalan baik sesuai dengan fungsinya.