Eligibility determination of Qurban animals using K-Nearest Neighbor

The Qurban is one of the most important worship services for Muslims. Choosing an eligible Qurban animals according to the shari'ah (law) of Islam and health is the main thing. This study aims to utilize technology in determining the eligibility of Qurban animals both based on the Islamic law and health. The K-Nearest Neighbor (KNN) algorithm is used to determine the eligibility of Qurban animals based on several input parameters, including animal type, weight, age, gender, sight, health, body condition, and mental. The experimental results show that KNN is successfully implemented and is able to help determine the eligibility of animals for Qurban well.