Management Model of Food Big Data for National Food Security Policy
Rulinawaty Rulinawaty (a*), Agus Santosa (b), Syarif Fadillah (c), Ayi Karyana (d), Yudi Efendi (e)

a) Public Administration, Universitas Terbuka, Jalan Cabe Raya, Pondok Cabe, Pamulang, Tangerang Selatan 15418, Indonesia
*ruly[at]ecampus.ut.ac.id
b) Busines Administration, Universitas Terbuka, Jalan Cabe Raya, Pondok Cabe, Pamulang, Tangerang Selatan 15418, Indonesia
c) Public Administration, Universitas Terbuka, Jalan Cabe Raya, Pondok Cabe, Pamulang, Tangerang Selatan 15418, Indonesia
d) Government Science, Public Administration, Universitas Terbuka, Jalan Cabe Raya, Pondok Cabe, Pamulang, Tangerang Selatan 15418, Indonesia
e) Low Departemen, Public Administration, Universitas Terbuka, Jalan Cabe Raya, Pondok Cabe, Pamulang, Tangerang Selatan 15418, Indonesia

Abstract

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 providing food. Contributions are expected from outside parties, primarily private and non-governmental organizations. The involvement and contributions of various stakeholders show the existence of networking that allows the implementation of food security policies to run effectively and efficiently. The strategy model used is the Indonesian Food Management Stakeholder Network through big data analytic analysis, including descriptive, diagnostic, predictive, and prescriptive analysis. The results of the descriptive analysis are in the form of grouping and visualizing big food data. The results of the big data analysis process produce a decision map to see the causes of the level of food production in a province. In the predictive process, it produces a regression model to calculate the following year^s production results and prospective analysis in the form of a profit system designed for national food security policies.

Keywords: Big Data Analytics, Clustering, Classification, public policy, Food Security.

Topic: Computer Science