Sustainable Indonesian Rural Development: Utilizing Precision Village Data as a Basis for Socio-Economic Analysis

Abstract

Abstract The digital era presents opportunities for developing new technologies for producing precise and reliable data. This study examines the socioeconomic conditions of rural development in Indonesia using “Data Desa Presisi” (DDP), a new method with the potential to generate large amounts of village data. The goal is to encourage the achievement of Sustainable Development Goals in rural areas. Quantitative research was carried out on six islands, ten provinces, 24 districts/cities, and 171 villages/sub-districts. The findings indicate that inequality rates in rural Indonesia are classified as medium (between 0.40 and 0.50) and high (above 0.5). The study also reveals disparities in the government’s published HDI achievements, with Sumatra’s villages having the highest HDI (68.25) and rural Bali and Nusa Tenggara having the lowest HDI (53.88). The study highlights the need for response strategies to achieve sustainable rural development, such as producing village activists, developing vocational education, developing rural big data, and agricultural development management.