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DA-FL-Elongate

ELONGATE - Reading Interest Development in Indonesia through Libraries

Capstone Project by Team DA_ED3

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)

Problem Statement

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.

SMART Problem Statement

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.

Project Goals & Success Metrics

Project Goals

  1. Insights: Provide an overview of Indonesia's literacy, focusing on Level of Reading Interest (LRI) and SLDI.
  2. Recommendation: Offer actionable recommendations for improving literacy based on significant factors identified in the analysis.

Success Metrics

  1. Project proposal completed within 7 days.
  2. Data dashboard displaying literacy conditions across 7 main islands.
  3. At least 3 charts in the data dashboard for easy visualization.
  4. Identification of 2 variables significantly influencing Indonesia’s literacy.
  5. Submission of all required capstone project materials within approximately 2 months.

Product Description

Data Dashboard Features

  1. Filter: Select islands/regions for an overview.
  2. Visualization: Display factors influencing SLDI.
  3. Charts: Visualize SLDI and LRI in each province.
  4. Indicators: Show literacy indicators in each province.
  5. Variables: Display variables influencing Indonesia’s SLDI significantly.

Technology

  • Analysis: R Studio or Python
  • Data Dashboard: Google Data Studio

Target User & User Journey

Target User

  • Indonesian government officials in education and library institutes.
  • The public for an overview of Indonesia's literacy.

User Journey

  1. Select islands/regions of interest.
  2. Analyze factors influencing SLDI.
  3. Visualize SLDI and LRI in each province.
  4. Review literacy indicators.
  5. Identify variables influencing Indonesia’s SLDI.

Potential Difficulties & Solutions

  • 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.

Technologies Used

  • R Studio
  • Python
  • Google Data Studio

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