According to BPS RI data, Indonesia's unemployment rate is 5.83 percent of the entire population of Indonesia as of February 2022. The unemployment rate is dominated by women. The results of the 2017 BPS RI data stated that relatively few women in Indonesia work in the formal sector. The results show that only 38.63 percent of Indonesian working-age women are employed in formal jobs.
However, compared to Indonesian men, the participation rate of women in the workforce is still relatively low. Around 45.66 percent of Indonesian men (of working age) work in the formal sector. Reinforced by the McKinsey & Company report, the higher the position, the smaller the proportion of women occupying the position.
The expected benefits of the project:
- Support society and government to analyze the causes of the gap between men and women employment.
- Increase productivity and work skills needed in today's industry and eliminating the patriarchal view that women are better off working in the informal sector.
- Help women in finding jobs from their skills through recommendation system
The Outcome of this project are:
- Interactive dashboard, which is expected to help society to analyze and find inequality employment factors to overcome job equality.
- Recommendation system, to help women find jobs that match their qualifications and skills.
Technologies :
- Google Data Studio. A software in making data visualizations that can be viewed interactively.
- Python. a high-level programming language that supported by the availability of many open source libraries that help in data processing, analysis, recommendation systems, and visualization. Libraries that the writers used:
- Pandas
- Numpy
- Textblob
- NLTK
- Scikit-learn
Data : Data for the country of Indonesia from year 2002-2018 that were obtained from credible institutions:
- Humanitarian Data Exchange (Gender Indicator Data): contains comparisons of specific factors for men and women (including education, employment, health, etc.) (https://data.humdata.org/dataset/world-bank-gender-indicators-for-indonesia#)
- World Bank (Gender Statistics Data): complementary data to gender indicator data (https://databank.worldbank.org/source/gender-statistics#)
- Kaggle (Google Job Skills Data): the qualifications needed to apply for a job (https://www.kaggle.com/code/rayjohnsoncomedy/job-skills/data)
Interactive dashboard is available in : https://ristek.link/InequalityGenderEmployment
Interactive recommendation system is available in : https://ristek.link/RecommendationSystem