Klasifikasi Eligibilitas Pendonor Darah untuk Sistem Rekomendasi Cerdas

Abstract

The availability of timely and adequate blood supply is a critical factor in ensuring optimal healthcare services. However, blood donor eligibility screening is often conducted manually, which may lead to data recording errors, delays in decision-making, and inefficiencies in donor data management. This study aims to develop a blood donor eligibility classification model as the foundation of an intelligent recommendation system to support effective decision-making processes. A data-driven approach is employed by utilizing donor health attributes such as age, body weight, hemoglobin level, and blood pressure. The proposed model is capable of accurately classifying donor eligibility status and providing relevant recommendations for officers and volunteers. Experimental results indicate that the developed system improves donor selection efficiency, reduces administrative errors, and supports more structured blood donation data management. This research contributes to the advancement of intelligent health information systems for effective and sustainable blood donation management.