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Demographic Spatial Data Management in Indonesia with the Approach of Geographic Information System Model

Affiliations

  • Department of Informatic Management, Respati University of Yogyakarta, Yogyakarta, Indonesia
  • Department of Information System, Respati University of Yogyakarta, Yogyakarta, Indonesia
  • Department of Computer Science, Mulawarman University, Samarinda, Indonesia
  • Department of Informatic Engineering, Musamus University, Merauke, Indonesia

Abstract


Background/Objectives: Indonesia becomes one of the countries which have the biggest population in the world. The most significant demographic problem in Indonesia is high rate of population. Methods: The study is proposed to give solution of demographic data that will be nationally used as a monitor device toward population development to control the population in the form of area mapping visualization based on geographic information system. Findings: It is noted that in 2012, the number of populations were 243.3 million people; placing Indonesia in the 4th rank as the most populated country in the world and the 3rd rank in Asia. The number of population in Indonesia increases year by year. It is predicted that in several incoming years, population problem will keep increasing if the government does not try to overcome the problem comprehensively, and the society does not have awareness related to the problem. It is predicted that in 2016 and 2025 the number of population in Indonesia can reach 255.7 and 278 million people. It causes dense population with disputable quality. The success of government’s program in improving people’s living quality should be supported by the existence of national demographic data to apply high quality governmental programs. Application/Improvements: The use of demographic data should be applied to monitor the development of population number in every provincial area within the support of geographic information system (GIS) model as well as to control the number of populations. Further research, we do fixes this problem by an expert system to repair algorithm with GIS approach.

Keywords

Demography, Geographic Information System, Indonesia, Populations, Yogyakarta.

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