Pada penelitian ini, proses penentuan penerima bantuan PKH di Kelurahan Duri Kosambi belum ada sistem yang dapat secara langsung merekomendasikan daftar penerima bantuan. Sehingga dari permasalahan tersebut dibuatlah perancangan sistem untuk merekomendasikan penerima bantuan PKH dengan menggunakan metode Analytical Hierarchy Process (AHP) yang memiliki 7 kriteria berbeda. Dengan menggunakan metode tersebut dapat menghasilkan daftar rekomendasi penerima bantuan PKH yang memiliki bobot perangkingan kriteria. Bobot perangkingan digunakan sebagai dasar rekomendasi penerima yang sesuai dengan kriteria. Dari hasil pengujian akurasi kriteria diperoleh hasil bobot kriteria status bangunan tempat tinggal 0.26 selisih error 0.4712%, jenis lantai terluas 0.11 selisih error 0.3210%, jenis dinding terluas 0.11 selisih error 0.1722%, sumber air minum 0.03 selisih error 0.0244%, sumber penerangan 0.14 selisih error 0.2153%, daya listrik terpasang 0.20 selisih error 1.6519, dan fasilitas bab 0.14 selisih error 0.4478%. Hasil tersebut menunjukkan bahwa bobot kriteria dapat digunakan pada proses penentuan rekomendasi penerima bantuan PKH yang sesuai dengan prioritas kriteria.

In this research, the process of determining PKH beneficiaries in the Duri Kosambi Village has no system that could directly recommend a list of beneficiaries. So from this problem, the system design was made to recommend recipients of PKH assistance using the Analytical Hierarchy Process (AHP) method which has 7 different criterias. Using this method could produce a list of PKH beneficiary recommendations that have a weighting of ranking criteria. Ranking weights are used as a basis for recipient recommendations by the criteria. From the results of testing the accuracy of the criteria obtained weighting criteria for the status of residential buildings 0.26 error difference 0.4712%, widest floor type 0.11 error difference 0.3210%, widest wall type 0.11 error difference 0.1722%, drinking water sources 0.03 error difference 0.0244%, lighting source 0.14 difference error 0.2153%, installed electrical power 0.20 error difference 1.6519, and chapter facilities 0.14 error difference 0.4478%. These results indicate that the criteria weights could be used in the process of determining recommendations for PKH recipients by the priority criteria.