Klasifikasi Tingkat Keberhasilan Produksi Ayam Broiler di Riau Menggunakan Algoritma K-Nearest Neighbor

Livestock is a crucial component of the Indonesian agriculture sector. One most widely practiced types livestock farming broiler chicken farming. The production chickens continues to increase due increasing consumption chickens. Presently, companies are facing an urgent requirement support farmers, regardless their level experience, whether they newly entering sector or have been established for some time. Core encounter challenges in modeling success rate farmer because vast quantity data coming from collaborating which makes it arduous company establish production. Establishing very helpful selecting appropriate farmers be guided, thus enabling accurate decision-making. A classification procedure utilizing mining and K-Nearest Neighbor (KNN) algorithm necessary manage growing volume data. study examined 927 Riau, where was divided into two sets, with 80% allocated training remaining 20% testing purposes. findings confusion matrix analysis showed that optimal result achieved at k = 3, accuracy 86.49%, precision 75.00%, recall 70.21%.