Gender-based leadership disparities: obstacles to women becoming leaders in student organizations

Syfriza Davies Raihannabil; Friska Novelia; Karini Halma; Nadya Noor Hastin; Marlon Brando Rajagukguk

doi:10.55942/pssj.v6i3.964

Authors

Syfriza Davies Raihannabil Politeknik Statistika STIS https://orcid.org/0009-0009-4770-8237
Friska Novelia Politeknik Statistika STIS
Karini Halma Politeknik Statistika STIS
Nadya Noor Hastin Politeknik Statistika STIS
Marlon Brando Rajagukguk Politeknik Statistika STIS

DOI:

https://doi.org/10.55942/pssj.v6i3.964

Keywords:

culture, gender inequality, gender-based leadership, student organizations, women’s leadership

Abstract

This study identifies internal and external factors that hinder women from becoming leaders of student organizations. Traditional leadership stereotypes consider men to be more worthy of leadership than women, resulting in disparities in gender-based leadership. In fact, men and women should have equal opportunities to become leaders. This study simultaneously examines internal and external factors that hinder women from becoming leaders based on statistical and empirical evidence that has never been found in previous studies. The survey-based sampling study involved 90 respondents who were divided into female students who were and were not leaders of student organizations. The survey data were analyzed using binary logistic regression analysis. This study found that self-confidence and responsibility have a statistically significant effect on women's leadership. Women with lower self-confidence and responsibility show a lower tendency to become leaders. Understanding, knowledge, patriarchal culture, ability, and relationships did not show a significant effect. However, women who become leaders generally have higher knowledge, perceive less patriarchal culture, and have stronger relationships. The main obstacle for women in taking leadership positions is internal factors. Therefore, development programs that focus on increasing self-confidence and responsibility need to be a priority.

Author Biographies

Syfriza Davies Raihannabil, Politeknik Statistika STIS

Syfriza Davies Raihannabil is an undergraduate student at Politeknik Statistika STIS, Jakarta. His academic interests include applied statistics, demography, and social sciences, with a particular focus on gender and development issues in Indonesia. He has contributed to research involving hierarchical clustering methods for analyzing child nutritional status and robust regression analyses related to gender empowerment indicators.

Friska Novelia, Politeknik Statistika STIS

Friska Novelia is an undergraduate student at Politeknik Statistika STIS, Jakarta. Her academic interests include social statistics, health behavior, and youth development studies. She has contributed to analytical writings on social phenomena, such as the growing healthy lifestyle trend among young people.

Karini Halma, Politeknik Statistika STIS

Karini Halma is an undergraduate student at the Politeknik Statistika STIS in Jakarta. Her research focus centres on applied statistics and socioeconomic development, particularly exploring issues of poverty, environmental impact, and inequality in Indonesia. She has been involved in empirical work analysing the relationships between extreme poverty and carbon emissions, as well as other structural indicators of development.

Nadya Noor Hastin, Politeknik Statistika STIS

Nadya Noor Hastin is an undergraduate student at Politeknik Statistika STIS, Jakarta. Her research interests centre on gender studies and social development, particularly exploring how choices such as the child-free phenomenon interact with patriarchy and demographic trends in Indonesia. She has authored commentary articles that reflect her engagement in these issues.

Marlon Brando Rajagukguk, Politeknik Statistika STIS

Marlon Brando Rajagukguk is affiliated with Politeknik Statistika STIS, Jakarta. He focuses on spatial and statistical analysis in socioeconomic contexts, notably researching poverty and regional inequality in Indonesia. His recent work includes applying Ordinary Least Squares and spatial correlation methods to examine the number of poor population across East Java province.

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