ABSTRACT
The use of big data is considered a recent breakthrough in the government sector because it can provide more accountable, transparent, and impersonal information, including in villages. Sustainable Development Goals (SDGs) is a global development agreement agreed upon by 193 countries and based on big data. As an effort to localize SDGs in villages, the Ministry of Villages launched the Village SDGs program with 18 objectives which are used as the basis for determining the direction of village development policies until 2030 according to Permendesa PDTT Number 21/2020. In the first step, village data was updated as part of big data in the village for solutions to accelerate development based on Village SDGs. The Ministry of Village is of the opinion that village data is considered as a field reflection of village factual conditions. Eggplant Village, Kapanewon Dlingo, Bantul Regency have also updated the village data according to the direction of the Ministry of Villages in order to achieve the Village SDGs goals for data-based development policies. This study uses a qualitative method with a thick description approach. Data collection techniques used focus group discussions and in-depth interviews. While the data analysis technique used is an interactive data analysis technique. The results of the study show that data collection on SDGs in Terong Subdistrict faces various obstacles and problems, including the limited Village Fund budget allocated for financing data collection. Then, there was a problem with the system and technology in data collection from supra-village where the conversion of data input used to be using an application on an Android-based mobile phone then changed to web-based so that data input had to be repeated and a lot of data was lost. The validity of the process of collecting data from the community was also questioned, to the skeptical attitude of the community during the data collection process.
