| dc.description.abstract |
ABSTRACT
Direct Cash Assistance (BLT) is cash assistance to poor families in Karang Anyar village, Aek Kuo sub-district, while various ways to reduce poverty have been carried out by the government, one of which is the provision of direct cash assistance (BLT). It can be seen that the root of the problem is that almost all villages do not have correct, accurate and precise data about the condition of the problem and the potential data they have. Therefore, the government distributes direct cash assistance budgets. Where there is still a distribution that is not right on target, as planned by the government. The Programming System That Will Be Used Is Python By Performing Calculations Using The Artificial Neural Network Method Of The Preceptron Multilayer Algorithm. Where there are already predetermined variables such as: salary income, status, and the condition of the house building, an output will be generated for the prediction of the receipt of direct cash assistance. With this research, it is hoped that one way to analyze population data in Karang Anyar village, aek kuo sub-district, both problems and potentials, so that the distribution of direct cash assistance remains targeted.
Keywords: JST, MLP, BLT
| en_US |
