Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal International Journal of Computing Science and Applied Mathematics
Farida, Yuniar
Mathematics, Sunan Ampel State Islamic University Surabaya
Computer Science & IT Education Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analyzing Factors Contributing to Gender Inequality in Indonesia using the Spatial Geographically Weighted Logistic Ordinal Regression Model Khaulasari, Hani; Farida, Yuniar
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 10, No 2 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.v10i2.21942

Abstract

Gender inequality is a condition of discrimination caused by social systems and structures. The main objective of this research is to identify factors that influence gender inequality in each province in Indonesia and obtain classification accuracy values using Geographically Weighted Ordinal Logistic Regression (GWOLR). The dataset used in this research consists of a response variable, namely the gender inequality index where the index value is divided into ordinal categories (low, medium, and high) and four predictor variables from the dimensions of health, education, human empowerment, social-culture, and work. The results of this study show that the classification accuracy of the GWOLR model is 85%. The mapping of provinces in Indonesia based on influential variables forms three groups. The first group (brown) is influenced by the percentage of women who give birth with the assistance of health workers (X1) and the female Human Development Index (HDI) (X3). The second group (blue) is influenced by the ratio of women’s Pure Participation Rate (APM) (X2) and the percentage of rape crimes against women (X4). The third group (red) is influenced by the percentage of women who give birth with the assistance of health workers (X1), the ratio of women’s Pure Participation Rate (APM) (X2), the percentage of women’s Human Development Index (HDI) ratio (X3), and the percentage of women’s rape crimes (X4).
Co-Authors Hani Khaulasari