TY - JOUR
T1 - Indonesia's provinces clustering based on industrial concentration as a reference in establishing vocational programs for vocational high schools
AU - Mardianto, M. Fariz Fadillah
AU - Syamsudin, Almira Sophie
AU - Husada, Devayanti Anugerahing
AU - Andriawan, Raka
N1 - Publisher Copyright:
© 2019 Primrose Hall Publishing Group.
PY - 2019/8
Y1 - 2019/8
N2 - 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.
AB - 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.
KW - Clustering
KW - Fuzzy c-means
KW - Industry
KW - Vocational high school
UR - http://www.scopus.com/inward/record.url?scp=85083647816&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85083647816
SN - 2201-1315
VL - 5
SP - 917
EP - 935
JO - International Journal of Innovation, Creativity and Change
JF - International Journal of Innovation, Creativity and Change
IS - 3
ER -