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dc.contributor.authorBagas Satya Dian Nugraha
dc.date.accessioned2013-12-17T07:37:19Z
dc.date.available2013-12-17T07:37:19Z
dc.date.issued2013-12-17
dc.identifier.nimNIM081910201006
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/9515
dc.description.abstractDiabetes mellitus is a disease caused by metabolic disorder that result a lack of insulin in human body. Deficiency of the insulin hormone causes abnormal blood sugar level fluctuation. This condition should be treated with appropriate and routinely to prevent the occurrence of acute metabolic disorders and chronic complications. This thesis developed a non-contact and non-invasive methode to measure blood sugar levels based on Artificial Neural Networken_US
dc.language.isootheren_US
dc.relation.ispartofseries081910201006;
dc.subjectBlood Glucose Levelen_US
dc.titlePENGUKUR KADAR GULA DARAH NON-CONTACT NON-INVASIVE BERBASIS SUHU TRAGUS-ANTIHELIX DAN JARING SARAF TIRUANen_US
dc.typeOtheren_US


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