Management model of food big data for national food security policy

• Main Authors: Rulinawaty, R., Andriyansah, A., Santosa, Agus, Fadillah, Syarif, Karyana, Ayi, Efendi, Yudi
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Big Data; Data analysis; Food security; Food supply; Impact analysis; NGOs; Nongovernmental organizations; Policies; Regression models
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0225794

The government has a role and responsibility for public goods, in this case, the responsibility for food problems in Indonesia. The food problem is complex, so it is no longer possible for the government to work alone. The government needs to collaborate with stakeholders involved in the food supply. Contributions are expected from outside parties, especially the private sector and non-governmental organizations. The involvement and contributions of various stakeholders show the existence of a network that allows the implementation of food security policies to run effectively and efficiently. The Indonesian Food Management Stakeholder Network uses the strategic model through big data analytic analysis. Thirty-four different studies presented, examining the problems they tackle, proposed solutions, tools, algorithms, and data used, the nature and dimensions of the big data used, the scale of use, and the overall impact. The results of the descriptive analysis are in the form of grouping and visualization of food big data. The results of the significant data analysis process produce a decision map to see the causes of the level of food production in a province. The predictive process produces a regression model to calculate the following year’s production and prospective analysis in the form of a profit system designed for national food security policies.