Open AccessDrug Users Prediction Using Backpropagation EducationalMethod
Author(s) -
Dahlan Abdullah,
Akim Manaor Hara Pardede,
Liza Umami,
RosidaTiurma Manurung,
Rini Suryani,
Sara Surya,
Kundharu Saddhono,
Indrya Mulyaningsih,
I Ketut Sudarsana,
DiahPujiNali Brata,
Rr Agung Kesna Mahatmaharti,
Nanda Novziransyah,
Ainna Amalia,
SantosoUjang Effendi,
Ida Samidah,
M. Murwati
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1361/1/012055
Subject(s) - backpropagation , artificial neural network , computer science , process (computing) , matlab , artificial intelligence , machine learning , data mining , software , programming language , operating system
The Artificial Neural Network in this study has been used to predict drug users by using the backpropagation method with the Matlab 7.7 software program. The variables consist of the number of drug users, the type of drug used and the employment status of drug users. The data input from 2010 to 2012 while the target data is 2013 data consequenlty if input data and target data are processed on artificial neural networks will produce output that can predicts 2014 drug users. Predictions actually consider the value which has not been seen in the future based on past data. Prediction is the process of predicting something by correcting the previous action. To predict a condition, it requires proper calculation to answer the problem. The calculation can use artificial neural networks with the backpropagation method.