Research Article
Challenges of the Industrial Revolution 4.0 on the Education of the Poor Case Study: Disparities Education on Length of Schools in Sumatera
@INPROCEEDINGS{10.4108/eai.17-12-2019.2296034, author={Eko Wahyu Nugrahadi and Joko Suharianto and Anhar Fauzan Priyono}, title={Challenges of the Industrial Revolution 4.0 on the Education of the Poor Case Study: Disparities Education on Length of Schools in Sumatera}, proceedings={Proceedings of the 2nd International Conference of Science Education in Industrial Revolution 4.0, ICONSEIR, December 17th,2019, Medan, North Sumatra, Indonesia}, publisher={EAI}, proceedings_a={ICONSEIR}, year={2020}, month={6}, keywords={education inequality poor sumatera}, doi={10.4108/eai.17-12-2019.2296034} }- Eko Wahyu Nugrahadi
Joko Suharianto
Anhar Fauzan Priyono
Year: 2020
Challenges of the Industrial Revolution 4.0 on the Education of the Poor Case Study: Disparities Education on Length of Schools in Sumatera
ICONSEIR
EAI
DOI: 10.4108/eai.17-12-2019.2296034
Abstract
Inequality in Indonesia shows this quite moderate. This inequality is not just talking about income inequality, but also occurred in the inequality of access to education. Access to education in the poor be interesting to do the analysis. The purpose of this research study analyzes the inequality in access to education to the poor. The model used is the inequality of econometric panel data models for the provinces in Indonesia and specify on the island of Sumatra. The results of data processing showed inequality in access to education is influenced by income per capita, local government spending on education, income inequality and aged between 15-65 years. Per capita income of Lampung province has the most powerful influence on educational inequality decrease the average length of schooling of the population is poor. Government spending in education, the increase in per capita income, a decrease in income inequality into a powerful instrument for pressing educational inequality average length of schooling of the population is poor. If this effort is congested, then the threat of the low quality of human resources certainly facing the nation and much of the produce of labor which is not relevant to the development of technology or drowned by this disruption era.
