A Comprehensive Analysis of Gender Disparities in Indonesian Human Development Using Machine Learning Techniques

Authors

  • Adhi Rahmadian Universitas Islam Negeri Sunan Gunung Djati Bandung
  • Vzelita Hannisa Universitas Islam Negeri Sunan Gunung Djati Bandung
  • Nabiela Rizki Alifa Universitas Islam Negeri Sunan Gunung Djati Bandung
  • Muhammad Zaky Universitas Islam Negeri Sunan Gunung Djati Bandung
  • Yulia Fithriyani Rahmah Universitas Islam Negeri Sunan Gunung Djati Bandung

Keywords:

Gender Inequality, Human Development Index, Machine Learning, Composite Analysis

Abstract

This  study examines gender disparities in human  development across  various regions of Indonesia using components of Human Development Index (HDI). We employed A/B testing,  composite  analysis,  and  K-means  clustering.  By  analyzing  2023  data,  we  revealed significant gender differences in life expectancy, education, and economic  well-being.  While women exhibit slightly higher life expectancy, men have an advantage in education and per capita expenditure. A total of 78,60% of regions is classified as “High” for male HDI, compared to just 13,42% for male HDI, with the largest gaps observed in remote areas such as Papua. Our findings highlight the need for targeted and gender-sensitive policies that address regional disparities and promote equitable access.  This research deepens the understanding of gender development challenges in Indonesia and provides insight for formulating more effective strategies to foster inclusive and sustainable growth.

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Published

2024-10-16

How to Cite

Adhi Rahmadian, Vzelita Hannisa, Nabiela Rizki Alifa, Muhammad Zaky, & Yulia Fithriyani Rahmah. (2024). A Comprehensive Analysis of Gender Disparities in Indonesian Human Development Using Machine Learning Techniques. International Conference on Islamic Economics (ICIE), 1(1), 153–166. Retrieved from https://proceeding.uingusdur.ac.id/index.php/icie/article/view/2545

Issue

Vol. 1 (2024): The 1st International Conference on Islamic Economics (ICIE)

Section

Articles