Spatial analysis of population distribution gap in Indonesia

A good standard of salary, health facilities, and school facilities could affect urban population growth. Enhancing education and health infrastructure in all regions is crucial for achieving population equality. This paper talks about population growth, economic development, and educational characteristics. The method used is an analysis approach based on statistical data and spatial data based on Google Earth Engine. The data concern is education, health, salary, population density and happiness index data in every region. Summary of provided schools, health facilities, and the income of every region in Indonesia has connected to the population distribution in Indonesia. The urban population has a chance to always increase because of many factors. From the salary factor, people living in a city can get IDR 21,483 per hour, while in a village they only can get IDR 14,101 per hour. From health facility factors, people living in a city can get access to health facilities easily. From the education factor, people living in a city can have many choices to great educational degrees. The population density and the happiness index in Indonesia have a correlation value of 0.508 which shows the positive moderate correlation. This paper also can find novelty decisions; urban population has a chance to always increase because people will choose the best access to better education and health access. This research has the potential to enable the Indonesian government to enhance the quality of decision-making in managing population distribution and creating fair development in every region.