DESIGN OF INTEGRATION INFORMATION PLATFORM FOR MAIN COMMODITIES PRICE BASED ON BIG DATA CONCEPT

• Main Author: LUTHFILLAH - NIM : 23214084, IQBAL
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/28097
• Institution: Institut Teknologi Bandung

<p align="justify">Agriculture is an important sector that is marked as the second largest trade in contributing to Indonesia's GDP. There are several agricultural commodities that are designated as major food commodities. that because the price fluctuations in these commodities are very influential on national inflation. So the Government has a responsibility to stabilize the price of these key commodities through the role of commodity price control policy. The formulation of food policy must be holistic because food system consists of elemental elements in the sub system of production, distribution and consumption in an integrated and interdependent manner. <br /> <br /> <br /> Referring to Law No. 18 of 2012 on food, the Government is mandated to establish a national food agency. One of the functions of the national food agency is the management of food data and information in order to bridge the data gap between production and consumption which has been a debate. Sectoral data management has an impact on diverse application systems due to the absence of standardized standards. Even in the era of increasingly advanced technology allows the data used as the basis of policy making prices become more diverse, as the more massive for example its use of IoT in the world of agriculture. <br /> <br /> <br /> This research attempts to answer the problem of the absence of tools used as data management and food information. In this research will be designed a concept of data integration platform and food price information. Data Integration is a process of data integration between different systems or hetergonous that is processed into a unity of meaning. Managed data has large variations and amount of data. So in manage data is used Big Data management concept with reference to Big Data architecture developed by NIST (National Institute of Standards and Technology). The dataset is then analyzed using the price prediction method and displayed in the visual form of the dashboard. This concept is then tested in the form of a case mockup platform study to illustrate how this concept can work. <br /> <br /> <br /> This research is expected to be a guide for government and practitioners related to food price policy makers in preparing the national food agency especially in the function of data management and food price information. <p align="justify"> <br />