(Departement of Statistics, Islamic University of Indonesia, Indonesia)(2) * Tuti Purwaningsih
(Departement of Statistics, Islamic University of Indonesia, Indonesia)(3) Rochmad Novian Inderanata
(Department of Mechanical Engineering Vocational Education, Universitas Sarjanawiyata Tamansiswa, Indonesia)(4) Siaka Konate
(Department of Electronic and Telecommunications, Normal School of Technical and Vocational Education, Mali)(5) Cicin Hardiyanti P
(Departement of Informatics, Islamic University of Indonesia, Indonesia)*corresponding author
AbstractMen and women have different habits or lifestyles, which inevitably leads to variances in other areas. As a result, gender statistics emerged. In this example, researchers seek to discover if there are discrepancies in HDI and per capita expenditure in Indonesia between men and women. To determine this, data from reliable sources is required; thus, researchers use data from the official BPS website, bps.go.id. The data comes from many tables, so the researcher will join them so that they may be studied. The data used in this scenario are HDI data by gender in 2020 and Per Capita Expenditure data by gender in 2020. Researchers employed graphical tools, such as boxplots and thematic charts, to examine whether there are differences in HDI and per capita expenditure between men and women in Indonesia. Aside from that, researchers used the two-sample t-test approach to see if there were variations in HDI and per capita expenditure between men and women. Researchers will utilize Python software to run this hypothesis test. According to the findings of the investigation, there is still gender imbalance in Indonesia in terms of HDI and per capita expenditure. As a result, it is intended that this research can be utilized as a reference in analyzing existing policies to ensure that there is no gender discrepancy in terms of HDI and per capita expenditure between men and women. It is also envisaged that this research would be beneficial to many people.
KeywordsGender inequality; Human development index (HDI); Per capita expenditure; Thematic mapping; Policy interventions
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DOIhttps://doi.org/10.31763/sitech.v3i2.1214 |
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