Pemanfaatan Algoritma Neural Network Untuk Predictive Analytic Angka Buta Huruf Di Indonesia

Abstract

The government of Indonesia has always been aware of the necessary role of education in the development and progress of the nation, so it included it in Article 31 of the 1945 Constitution. Based on data from the Central Statistics Agency, the population aged over ten years who were illiterate in 2017 amounted 4.08% of the total population aged over ten years. Predictive analytics is a method of analysis used to assess risk, and future business trends. The research is to find strategic points that can be utilized and used as references in implementing efforts to reduce illiteracy in Indonesia. The data for the research using secondary data from bps.go.id, namely data on the illiteracy rate for the 2011 – 2019 period. The predictions were made using the Artificial Neural Network Algorithm to produce an output accuracy of 69%.