Mengukur Kepemimpinan Perempuan di Indonesia dengan Metode Fuzzy c-Means Clustering

Indonesia is fully committed to implement Sustainable Development Goals (SDGs). The goal 5 of SDGs priorities the need to end discrimination against women and girls in all forms, and meeting their right to equal opportunities in employment, health and education. It is in line with the Presidential I...

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Bibliographic Details
Main Authors: Sukim Sukim, Firdaus Firdaus, Retnaningsih Retnaningsih, Efri Diah Utami
Format: Article
Language:Indonesian
Published: Universitas Islam Bandung 2019-03-01
Series:Statistika
Online Access:https://ejournal.unisba.ac.id/index.php/statistika/article/view/4536
Description
Summary:Indonesia is fully committed to implement Sustainable Development Goals (SDGs). The goal 5 of SDGs priorities the need to end discrimination against women and girls in all forms, and meeting their right to equal opportunities in employment, health and education. It is in line with the Presidential Instruction No. 9/2000 on gender mainstreaming in the National development programs. According to the result of the 2015 Intercensal Population census, about 49.75 percent of 255.18 million Indonesian population are women. This large figure population of women could be an asset for the national development in Indonesia when they are given the opportunity to advance and improve their quality. Unfortunately, it is realized that there is still a gap between men and women in Indonesia due to limited access of women in education, employment, politics and high governmental position. Considering that women’s leadership is important to achieve and accelerate SDGs, this paper aims to assess women’s leadership in Indonesia at province level by using 5 dimensions of women’s leadership (politics, government, education, economy and decision making). Applying Fuzzy c-Means Clustering Method and 7 validity indexes, the result found that provinces in Indonesia can be grouped into 4 clusters. The fourth cluster consists of 14 provinces and is considered as a cluster with lowest women’s leadership.
ISSN:1411-5891