Analysis of Infrared Sensors As a Non Invasive Glucose Measuring By Applying Fuzzy Algorithm

Medical equipment used to perform tests or test blood sugar levels in hospital laboratories generally applied using invasive methods namely by taking a patient’s blood using a needle. This is a constraint and the price of equipment and kit stripnya still relatively expensive. Also feared needles used to injure the patient in taking a few drops of the patient’s blood can lead to infection and other germs if needles used are not sterile. It is not rare some people are reluctant to test blood sugar levels. So that a person can not monitor the blood sugar levels in their bodies quickly and accurately. The measurement method of blood sugar levels in non-invasive rarely occurs because accuracy is questionable. Measuring tools, non-invasive blood sugar levels even yet widely used as medical devices. Of the problems that occurred the device technology development research of infrared sensors as a measure of non-invasive blood sugar levels in an attempt early detection and prevention of diabetes mellitus is necessary to get a tool kit prototype test blood sugar levels are cheap and easy to use in the community. Infrared is light waves that can be absorbed by a solution of glucose in the blood so that the method of technology development device’s infrared sensor can easily measure blood sugar levels without injuring the body (non-invasive) for the extraction of blood. To obtain equal accuracy invasive methods will be tested on the finger sensor readings and also earlobe.