Sistem Pendukung Keputusan Penerima Bantuan Pangan Non Tunai Menggunakan Metode SMART

Rahman, Ahmed Arifi Hilman (universitas ibrahimy)
Baijuri, Achmad (Universitas Ibrahimy)
Fatah, Zaehol (Universitas Ibrahimy)

Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi
Vol 14, No 2: Agustus 2025

The distribution of Non-Cash Food Assistance (BPNT) in Pancor Village often does not reach the target because the method used is still conventional in determining recipients. This work attempts to create a decision support system (DSS) that utilizes the Simple Multi-Attribute Rating Technique (SMART) technique so that the aid distribution process becomes more objective, fair, and transparent. There are three main criteria used, namely the number of dependents, income, and house conditions which are determined based on interviews with village officials and refer to the BPS poverty indicators. The test results show that the system is able to produce objective and transparent decisions, with an accuracy of 84%, 100% recall, and an F1 Score of 67%. The implementation of the system provides a fairer selection process than conventional methods and is able to minimize errors in aid distribution. Thus, this SMART-based DSS is considered effective and worthy of being adopted in supporting the distribution of social assistance in a more targeted manner.Keywords: Decision Support System; Simple Multi-Attribute Rating Technique; Non-Cash Food Assistance  AbstrakPenyaluran Bantuan Pangan Non Tunai (BPNT) di Desa Pancor sering kali tidak mengenai sasaran karena metode yang di gunakan masih secara konvensional dalam menentukan penerima. Karya ini mencoba membuat sistem pendukung keputusan (SPK) yang memanfaatkan teknik Simple Multi-Attribute Rating Technique (SMART) agar proses penyaluran bantuan menjadi lebih objektif, adil, dan transparan. Terdapat tiga kriteria utama yang digunakan, yaitu jumlah tanggungan, penghasilan, dan kondisi rumah yang ditetapkan berdasarkan wawancara dengan perangkat desa dan merujuk pada indikator kemiskinan BPS. Hasil pengujian menunjukkan bahwa sistem mampu menghasilkan keputusan secara objektif dan transparan, dengan akurasi sebesar 84%, recall 100%, dan F1 Score 67%. Implementasi sistem memberikan proses seleksi yang lebih adil dibanding metode konvensional dan mampu meminimalisir kesalahan dalam penyaluran bantuan. Dengan demikian, SPK berbasis metode SMART ini dinilai efektif dan layak untuk diadopsi dalam mendukung distribusi bantuan sosial secara lebih tepat sasaran.