Pemerintah Kabupaten Maros memberikan bantuan Usaha Mikro, Kecil dan Menengah (UMKM) berupa dana dan pelatihan UMKM kepada pelaku UMKM yang berasal dari Kabupaten Maros. Dalam proses penerimaan bantuan UMKM tersebut masih banyak kendala yang dihadapi oleh petugas UMKM seperti proses seleksi masih membutuhkan waktu lama sehingga sering terjadi keterlambatan penerimaan bantuan UMKM. Selain itu, terdapat juga masalah dalam melakukan seleksi penerima bantuan UMKM, petugas bantuan UMKM masih melakukanya secara konvensional dan belum adanya standar untuk menghitung dalam melakukan proses seleksi dan harus menilai berdasarkan kriteria yang telah ada. Penelitian ini mengajukan solusi seleksi Penerima Bantuan UMKM Pada Dinas Kopurindag Kabupaten Maros menggunakan algoritma Profile Matching. Dalam penerapan algoritma Profile Matching bekerja berdasarkan kriteria yang telah ditetapkan dengan memberikan hasil berupa perangkingan terhadap data pemohon bantuan UMKM. Adapun kriteria yang digunakan dalam penerimaan bantuan UMKM Pemerintah Kabupaten Maros aspek usaha UMKM yaitu: Jumlah Tenaga Kerja, Modal Awal, Lama Usaha, Omset, dan aspek prinsip 5C yaitu Character, Capity, Capital, Collateral, Conditions. Berdasarkan pengujian yang telah dilakukan, solusi yang diajukan berhasil meranking 5 dari 20 UMKM untuk mendapatkan bantuan UMKM.
The Maros Regency Government provides Micro small and Medium Enterprises (MSME) assistance in the form of funds and MSME training to MSME actors from Maros Regency. In the process of receiving MSME assistance, there are still many obstacles faced by MSME officers, such as the selection process still takes a long time, so there are often delays in receiving MSME assistance. Apart from that, there are also problems in selecting recipients of MSME aid, MSME aid officers still do it conventionally and there are no standards for calculating when carrying out the selection process and have to assess based on existing criteria. This research proposes a solution for selection of MSME Assistance Recipients at the Maros Regency Kopurindag Service using the Profile Matching algorithm. In implementing the Profile Matching algorithm, it works based on predetermined criteria by providing results in the form of ranking data on applicants for MSME assistance. The criteria used in receiving MSME assistance from the Maros Regency Government for the MSME business aspects are: Number of Workers, Initial Capital, Length of Business, Turnover, and aspects of the 5C principles, namely Character, Capity, Capital, Collateral, Conditions. Based on the tests that have been carried out, the proposed solution succeeded in ranking 5 out of 20 MSMEs to receive MSME assistance.