A new study by Dini Wulandari, Saprudin, Abubakar Iskandar, and Agus Suarman Sudarsa from Universitas Djuanda shows that village-based population data centers, known as Population Data Houses or Rumah Dataku, play a critical role in supporting Indonesia’s Bangga Kencana policy. Published in 2026 in the International Journal of Applied Research and Sustainable Sciences, the research focuses on Pasirbuncir Village in Caringin District, Bogor Regency. The findings matter because accurate, local-level data is increasingly essential for effective family development, population control, and social policy delivery.
Why Village Population Data Matters
Indonesia’s Bangga Kencana policy—short for Pembangunan Keluarga, Kependudukan, dan Keluarga Berencana—relies on precise population data to target services such as family planning, maternal health, and welfare programs. In many villages, fragmented records and limited digital capacity weaken policy implementation. The Population Data House was introduced to close this gap by turning villages into data hubs that collect, verify, and analyze demographic and family information directly from communities.
How the Study Was Conducted
The research team used a qualitative, descriptive approach. They conducted in-depth interviews with village officials, data cadres, and community representatives, observed daily data management practices, and reviewed official Bangga Kencana policy documents. This approach allowed the researchers to capture how Population Data Houses operate in practice and what challenges affect their performance.
Key Findings
The study highlights several important outcomes:
- Improved data availability: Pasirbuncir’s Population Data House provides demographic, socioeconomic, and family welfare data that supports local planning.
- Stronger program targeting: Data from Rumah Dataku helps identify priority groups, including couples of reproductive age, pregnant women, and at-risk families.
- Administrative focus remains dominant: While data collection is active, its use is still largely administrative and not fully integrated into strategic decision-making.
- Persistent challenges: Limited digital literacy among village officials, weak inter-agency data integration, and inconsistent data updates reduce overall effectiveness.
Implications for Policy and Communities
The findings underline that data availability alone is not enough. Capacity building is essential to transform raw data into actionable policy insights. Strengthening digital skills among village officials and improving technology infrastructure can help ensure that population data directly informs development planning. For policymakers, the study demonstrates that village-level data systems can make national programs more responsive to local needs.
Expert Insight
According to Dini Wulandari from Universitas Djuanda, effective use of village data requires both technology and people. She emphasizes that “accurate population data becomes meaningful only when village officials are empowered to analyze and apply it in daily policy decisions.” This perspective reinforces the idea that data governance is as much about human resources as it is about systems.
Real-World Impact
If optimized, Population Data Houses can support fairer distribution of social assistance, improve health service targeting, and strengthen evidence-based governance at the grassroots level. The model also aligns with broader e-governance goals by encouraging transparency, participation, and accountability in village administration.
Source
Title: Optimizing the Utilization of Population Data Houses for the Implementation of the Bangga Kencana Policy in Pasirbuncir Village, Caringin, Bogor
Journal: International Journal of Applied Research and Sustainable Sciences (IJARSS)
Year: 2026
DOI: https://doi.org/10.59890/ijarss.v4i2.197
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