Team Members:
- Farin Cyntiya Garini (KM_G2DA2083)
- Muhammad Al Reza Fahlopy Dharma (KM_G2DA3381)
- Syarifah Helmiah Alamry (KM_G2DA5203)
- Nur Faizah (KM_G2DA6240)
- Bagas Teguh Imani (P_G2DA2026)
The National Library of Indonesia (Perpusnas) emphasizes the importance of literacy, yet Indonesia faces a significant challenge with low reading interest. The government's initiative to increase literacy includes the establishment of libraries, but there's a need to explore the relationship between reading interest and library facilities.
Objective: Identify 2 or more variables significantly influencing the Society Literacy Development Index (SLDI) in Indonesia.
Method: Conduct Exploratory Data Analysis and Regression Analysis by the end of June.
Expected Outcome: Provide at least 3 actionable recommendations based on SLDI and Level of Reading Interest data analysis.
- Insights: Provide an overview of Indonesia's literacy, focusing on Level of Reading Interest (LRI) and SLDI.
- Recommendation: Offer actionable recommendations for improving literacy based on significant factors identified in the analysis.
- Project proposal completed within 7 days.
- Data dashboard displaying literacy conditions across 7 main islands.
- At least 3 charts in the data dashboard for easy visualization.
- Identification of 2 variables significantly influencing Indonesia’s literacy.
- Submission of all required capstone project materials within approximately 2 months.
- Filter: Select islands/regions for an overview.
- Visualization: Display factors influencing SLDI.
- Charts: Visualize SLDI and LRI in each province.
- Indicators: Show literacy indicators in each province.
- Variables: Display variables influencing Indonesia’s SLDI significantly.
- Analysis: R Studio or Python
- Data Dashboard: Google Data Studio
- Indonesian government officials in education and library institutes.
- The public for an overview of Indonesia's literacy.
- Select islands/regions of interest.
- Analyze factors influencing SLDI.
- Visualize SLDI and LRI in each province.
- Review literacy indicators.
- Identify variables influencing Indonesia’s SLDI.
- Limited SLDI data (only 2021).
- Uncertainty about the analysis method.
- Learning curve with R Studio and Python.
Solutions:
- Contact the National Library of Indonesia for additional data.
- Seek mentor guidance for analysis methods.
- Collaborate within the team and leverage Generasi GIGIH 2.0 soft skills.
- R Studio
- Python
- Google Data Studio