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

This title will be presented on Thursday, December 14, 2023 at 13.40-13.50 GMT+7

Abstract

This title will be presented on Thursday, December 14, 2023 at 13.40-13.50 GMT+7

The digital era opens up space for the birth of new methods to produce precise and accurate data. By utilizing Data Desa Presisi (DDP) as a new method to produce village big data, this research analyzes the socio-economic conditions in Indonesia within the framework of Sustainable Development Goals (SDGs) in rural areas. This research was conducted in 10 provinces, 21 districts, and 171 villages, showing that the inequality figures in rural Indonesia were identified as moderate inequality (0.40-0.50) and high inequality (>0.5). High inequality rates are found in the villages of Kalimantan (0.71), Bali and Nusa Tenggara (0.67), Sumatra (0.59), and Java (0.53). This research shows that only Kalimantan has an open unemployment rate below double-digit percentages (9.91%). The others are above double-digit percentages, such as Sumatra (13.20%), Java (12.60%), Bali and Nusa Tenggara (22.31%), and Sulawesi (19.88%). The HDI identified in rural Indonesia was 61.96 (medium). Villages in Sumatra are those that have the highest HDI (68.25). Meanwhile, the lowest HDI is in rural Bali and Nusa Tenggara (53.88). Based on this socio-economic analysis, this research highlights the need for vigilance among parties to be more serious about responding to sensitive measures of sustainable rural development in the digital era.