Abstract
This paper aims to build a database that can be used as the most important part of a geographic information system by using data from reliable sources. Data collection is done through process scrapping on some official website of Indonesia government. In addition to collecting quantitative data of higher education, this paper also mapping geographically from the high level of existing in Indonesia. It is expected that this data will be able to help the community and government in observing and analyzing the quantity and distribution of universities. The result of this research is one database that is ready to be integrated in more complex geographic information system. In addition, the scrapping method used allows us to perform the upgrade of data that has been obtained previously.
Highlights
Indonesia is a large country with a population of almost 235 × 106, covering an area of 1 910 931 km2
Indonesia is considered as a low middle-income country entering the third stage of economic development, called the “efficiency driven economy” by the World Economic Forum (WEF 2012)
This paper aims to explain the ways used to obtain a database used to build a Geographic’s information systems (GIS) that can be used to map the situation of higher education in Indonesia
Summary
Indonesia is a large country with a population of almost 235 × 106, covering an area of 1 910 931 km. The country comprises more than 17 504 islands, makes it the largest archipelago in the world. The population is still dominated by young generation, whereby 44.72 % of its population is younger than 25 yr. This is important due to the increasing needs to provide education and employment for the young. Indonesia is considered as a low middle-income country entering the third stage of economic development, called the “efficiency driven economy” by the World Economic Forum (WEF 2012). Indonesia needs to address many complex issues to improve its competitiveness as it makes the transition to a new phase of economic development. In 2014 Indonesia is ranked at 34th by the World Competitiveness Index. Well-educated human resources, excellence in scientific research and better linkages to industry and government are regarded as key policy priorities in most countries in this stage
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