Implementation of the Backpropagation Method to Predict the Percentage of Women as Professionals on the Island of Sumatra

Tata Rizky Amalia (STIKOM Tunas Bangsa)
Solikhun Solikhun (AMIK & STIKOM Tunas Bangsa)

INTERNATIONAL JOURNAL OF MECHANICAL COMPUTATIONAL AND MANUFACTURING RESEARCH
Vol. 11 No. 2 (2022): August: Mechanical Computational And Manufacturing Research

This study aims to obtain information on the best algorithm from the two algorithms that will be compared based on the smallest/lowest performance value or MSE value, which can later be used as a reference and information for solving women's problems as professional workers on the island of Sumatra. The data used in this study are women as professional workers (percent) 2012-2021 at the Central Statistics Agency (BPS). The algorithm used is Backpropagation Neural Network. Data analysis was carried out using the Artificial Neural Network method using Matlab R2011b(7.13) software. In this review, 5 structural models were used, namely: 4-10-1, 4-15-1, 4-20-1, 4-25-1, 4-30-1, out of five models.