BRIN UMKM Survey Analysis - Comprehensive Report

Project Overview

161

Respondents

Variables

69.6%

Green Businesses

70.2%

Trained

Research Focus

This comprehensive analysis examines UMKM (Micro, Small, and Medium Enterprises) across Indonesia, focusing on sustainability practices, financing needs, and business development challenges.

Core Research Areas

Business Characteristics: Types, sectors, legal status, and employee distribution
Sustainability Practices: Green business identification, energy usage, waste management
Financing & Credit: Credit history, green financing interest, barriers
Training & Development: Participation rates, preferred formats, needs
Inclusion & Accessibility: Disability considerations, gender barriers

Data Overview

Metric	Value
Sample Size	161 respondents
Variables	73 survey questions
Missing Data	9.43% overall
Geographic Focus	Primarily Java region
Study Period	2025 survey collection

Key Findings

Demographics

Gender: 69.6% of respondents are female entrepreneurs.
Primary Location: Concentrated in Java (DKI Jakarta, Banten, Jawa Barat, Jawa Tengah, DIY, Jawa Timur).
Education: Diverse educational background ranging from high school to postgraduate levels.

Business Characteristics

Dominant Scale: Micro enterprises (Usaha Mikro) form the majority.
Top Sector: Food & Beverage leads with 44 businesses (27.3%).
Green Identity: 69.6% identify as green businesses.
Legality: A significant portion operates without formal legal entity registration.

Sustainability Practices

Energy Source: 75.8% rely solely on conventional electricity (PLN).
Renewables: Limited adoption, with only 11.8% using mixed or renewable sources.
Waste Management: 30.4% report no active waste management practices.
Packaging: 33.5% do not use eco-friendly packaging solutions.

Financing Insights

Credit Access: 59.0% have never accessed business loans.
Syariah Preference: 26.1% express interest specifically in syariah-based (interest-free) plans.
Collateral Issues: 20.5% are interested only if collateral requirements are waived.
Disinterest: 19.3% show no interest in green credit options.

Training & Development

Engagement: 70.2% have participated in training programs.
Format Preference: Strong preference for hands-on, practical learning.
Barriers: Location distance, time constraints, and technology access are key hurdles.

Inclusion Challenges

Gender Barriers: 30.4% report gender-related challenges in business.
Disabilities: 16.1% of entrepreneurs have physical limitations.
Detailed Needs: Issues with mobility (26), emotional/mental health (6), vision (6), and cognitive (3) cited.

Data Visualizations

The following visualizations illustrate distributions and patterns identified during the analysis.

Figure 1: Gender Distribution of Respondents

Figure 2: Business Category Distribution

Figure 3: Top 15 Business Sectors

Figure 4: Education Level Distribution

Figure 5: Top 10 Business Locations

Figure 6: Green vs Conventional Business

Figure 7: Legal Entity Types

Figure 8: Energy Usage Patterns

Figure 9: Interest in Green Credit Financing

Figure 10: Training Participation Rates

Figure 11: Missing Data Analysis

Policy Recommendations

1. Green Transition Support

Provide targeted subsidies for renewable energy adoption.
Offer specialized training on sustainable business practices.
Establish green certification programs for credibility.
Develop sector-specific sustainability guidelines.

2. Accessible Financing

Develop syariah-compliant green credit products.
Reduce or eliminate collateral requirements for micro-enterprises.
Simplify loan application processes.
Provide financial literacy training alongside credit products.
Create alternative credit scoring mechanisms based on business activity.

3. Capacity Building

Increase availability of hands-on practical training programs.
Decentralize training to bring it closer to communities.
Improve digital literacy initiatives for modern business tools.
Develop sector-specific training curricula.
Provide follow-up mentorship programs to ensure application of learning.

4. Inclusion Enhancement

Address gender-based barriers through targeted support programs.
Ensure business support services are disability-accessible.
Provide assistive technologies and necessary accommodations.
Create inclusive mentorship networks.
Develop awareness campaigns on inclusive business practices.

5. Business Formalization Support

Assist with legal entity registration procedures.
Simplify bureaucratic processes for small businesses.
Provide one-on-one business licensing support.
Offer tax compliance guidance and incentives.
Establish one-stop service centers for administrative needs.

Next Steps for Implementation

✔ Conduct stakeholder consultations

✔ Develop pilot programs for green transition

✔ Partner with financial institutions for syariah products

✔ Create training modules and materials

✔ Establish monitoring and evaluation framework

✔ Design accessibility standards for programs

Research Methodology

Data Collection

Survey data was collected from 161 UMKM businesses across Indonesia during 2025. The survey instrument comprised 73 comprehensive questions covering business operations, sustainability practices, financing needs, and demographic information.

Analysis Approach

The exploratory data analysis was conducted using Python, utilizing the standard data science stack:

                    #!/usr/bin/env python3
                    import pandas as pd
                    import numpy as np
                    import matplotlib.pyplot as plt
                    import seaborn as sns
                

Analysis Modules

Data Quality Assessment: Missing data analysis and completeness metrics.
Descriptive Statistics: Frequencies, distributions, and central tendencies.
Demographic Analysis: Gender, age, location, and education patterns.
Business Profiling: Sectors, categories, legal status, and size metrics.
Sustainability Assessment: Energy, waste, packaging, and green practices.
Financing Analysis: Credit access, barriers, and preferences.
Training Evaluation: Participation, formats, and effectiveness.
Inclusion Analysis: Disability, gender, and accessibility barriers.

Visualization Standards

All visualizations adhere to publication-ready standards:

300 DPI resolution for print quality.
Consistent color palette using seaborn "husl".
Clear labels, legends, and titles.
Accessible color schemes for readability.

Project Structure

                    riset-brin/
                    ├── data/ # Survey data
                    ├── scripts/ # Python analysis scripts
                    ├── output/ # Statistical summaries
                    ├── figures/ # Visualizations (11 PNG)
                    ├── reports/ # Analysis reports
                    └── documentation # Project docs
                

Data Quality Metrics

Quality Metric	Result
Overall Missing Data	9.43%
Complete Records	161 respondents
Valid Response Rate	90.57%

Reproducibility

The analysis is fully reproducible. To regenerate all outputs, execute the following:

                    cd /path/to/riset-brin
                    python3 scripts/exploratory_data_analysis.py
                

All scripts, data, and documentation are version-controlled and available in the project repository.

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