Implementation of Artificial Neural Network Method in Application Development to Measuring the Severity of Narcotics Substances in Blood

Abstract

There are various ways to detect the presence of compound drugs, such as heroin, cocaine, morphine in the human body. Either through a urine sample or blood sample. This study was undertaken with the aim to create a system that can detect the severity level of the effects of illegal drugs (narcotics) uses from the blood, with three different level ie minimal, moderate, and severe of the five compounds drugs and hemoglobin levels which contained from each blood sample. The fifth compound including diacetylemorphine, morphine, benzoylecgonine, amphetamine, and phencyclidine. From the test results with learning rate 0.3, threshold value 0.5, 2 units of output units and 6 units of input units, this system has a success rate of 60%-100% from the test of a new blood sample data (non-learning data) and 100% for the training sample data (learning data).

Design of Computer-Aided-Diagnosis (CAD) for Self- Assessment Tuberculosis in Indonesia

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An Intelligent Dengue Hemorrhagic Fever Severity Level Detection Based on Deep Neural Network Approach

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