Indonesia's provinces clustering based on industrial concentration as a reference in establishing vocational programs for vocational high schools

M. Fariz Fadillah Mardianto, Almira Sophie Syamsudin, Devayanti Anugerahing Husada, Raka Andriawan

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In Indonesia, industry has become the biggest contributor for Gross Domestic Product (GDP) which achieved 20.16 % in 2017 according to Indonesia's Ministry of Industry. As Indonesia's main economic force, it demands a skilled workforce. One way to generate such a workforce is through Vocational High Schools. However, they have the lowest enrolment rate compared to other education levels according to Statistics Indonesia. According to Indonesia's Ministry of Education and Culture, one reason for that phenomenon are mismatches of vocational programs with industry in the area. Thus, clustering provinces in Indonesia based on its industrial concentration is necessary. Therefore, data was collected from Indonesia's Ministry of Industry, including a number of middle to big industries and their workforce. Clustering was carried out based on Fuzzy C-Means, which enables each province to become a member of every cluster and eventually results in eight clusters. The results are used to recommend vocational programs in Indonesia based on industrial concentrations.

Original languageEnglish
Pages (from-to)917-935
Number of pages19
JournalInternational Journal of Innovation, Creativity and Change
Volume5
Issue number3
Publication statusPublished - Aug 2019

Keywords

  • Clustering
  • Fuzzy c-means
  • Industry
  • Vocational high school

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