Design and Development of a Human Blood Type Detection System Based on the Internet of Things

Blood is an important component in the human body, acting as a means of transporting important substances such as sugar, oxygen, and hormones. Lack of blood can cause various diseases such as anemia, hypotension, and heart attacks. In situations such as accidents or childbirth, blood transfusions are needed to overcome blood deficiency. Blood transfusions must be carried out by considering blood types, including A-B-O and rhesus classifications, to prevent dangerous immunological transfusion reactions. Limited blood stocks, especially the rare rhesus negative type, are a challenge in maintaining blood availability. Current blood type detection still relies on the ability of the human eye and bioactive paper media, which are inefficient for large-scale testing and emergency conditions. This study aims to design a blood type detection tool based on the Internet of Things (IoT). This system consists of two main processes: data retrieval and data storage via the HTTP GET method. The tool will send data directly to a MySQL database locally, which can later be accessed via a website. The website will capture changes to the database using JavaScript. The test results showed that the system functioned well in the software trial, but experienced problems in the hardware test. However, the hardware test results showed an accuracy level of 93.33%.