Drugs Diagnose Level using Simple Multi-Attribute Rating Technique (SMART)

Abstract

To find out the level of drug addicts, a system that can process predetermined criteria is needed. The system is a decision support system using the SMART method. The purpose of this study is to create a decision support system to help drug addicts to know that someone is classified as a mild, moderate or severe addict with several criteria that must be chosen by addicts, before choosing criteria for an addict to do the screening process first. Collecting data in this study uses literature study techniques, interviews, and observations in data collection. The system development uses the waterfall method. Analysis and design modeling use Laravel framework with PHP programming language and MySQL database server. The test method uses black-box testing, testing calculations and testing the comparison of real data with data that has been applied to the SMART method with a success of 75.37%. The results of this study are a decision support system for diagnosing drug addicts so that a drug addict can find out the level of addicts and solutions and descriptions of the results of the diagnosis.