ANN Back Propagation in forecasting and policy analysis on family planning programs: A case study in NTB Province

EE Supriyanto, N Septyanun, RR Harun… - Journal of Physics …, 2021 - iopscience.iop.org
Various government programs and policies are aimed at improving the welfare of the
community. One of them is implementing a family planning program to suppress high …

Neural Network Back-Propagation Method as Forecasting Technique

TI Hermanto, A Idrus, L Sugiyanta… - Journal of Physics …, 2022 - iopscience.iop.org
Uncontrolled population increase has a direct impact on the development of human
resource quality, and the rate of economic growth is becoming increasingly challenging. It …

Forecasting using back propagation with 2-layers hidden

D Pramita, T Nusantara - Journal of Physics: Conference …, 2021 - iopscience.iop.org
A critical indicator of government policy in economics is based on high inflation because it
implicates the welfare of the society in a region. Therefore, it is necessary to have a …

Best model and performance of bayesian regularization method for data prediction

P Setiaji, B Widjanarko, Y Syahidin… - Journal of Physics …, 2021 - iopscience.iop.org
The backpropagation algorithm has many training and activation functions that can be used
to influence or maximize prediction results, all of which have their respective advantages …

Analysis of Backpropagation Method with Sigmoid Bipolar and Linear Function in Prediction of Population Growth

E Siregar, H Mawengkang, EB Nababan… - Journal of Physics …, 2019 - iopscience.iop.org
Backpropagation method is an artificial neural network method that is often used for
prediction. However, the use of activation functions and training functions greatly affects the …

Sigmoid activation function in selecting the best model of artificial neural networks

H Pratiwi, AP Windarto, S Susliansyah… - Journal of Physics …, 2020 - iopscience.iop.org
The aim of the research is to make predictions from the best architectural model of
backpropagation neural networks. In determining the outcome in the form of a prediction …

Implementation of artificial neural network in predicting birth rate in batam city using backpropagation method

M Jufri - JURTEKSI (Jurnal Teknologi dan Sistem Informasi), 2021 - jurnal.stmikroyal.ac.id
The population growth in Indonesia is increasing rapidly every year, so to help the
government control the population growth through family planning programs, especially in …

The Implementation of Probabilistic Neural Network Algorithm for Classification of Family Hope Program in Pekanbaru City

R Novita, Q Anzir, N Alhidayatillah - Journal of Physics …, 2021 - iopscience.iop.org
The poverty rate in Indonesia continues to increase, especially in Pekanbaru city. It was
recorded in 2017 the poverty in Pekanbaru City reached 176.908 inhabitants. The poverty …

Mapping and Prediction of Community Health Level in The East Java Region Using ANN Backpropagation Method

W Herulambang, F Setyatama… - JEECS (Journal of …, 2021 - ejournal.ubhara.ac.id
Predicting the level of public health in an area is very important to know the development of
public health in order to give consideration to local governments in making policies that can …

Analysis of backpropagation algorithms in predicting world internet users

S Setti, A Wanto, M Syafiq, A Andriano… - Journal of Physics …, 2019 - iopscience.iop.org
The internet is now a primary need for its users. According to the e-Marketer market research
institute, there are the top 25 countries with the most internet users in the world. Indonesia is …