Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 4: EECSI 2017

Conceptual Framework for Public Policymaking based on System Dynamics and Big Data

Feldiansyah Bin Bakri Nasution (Department of Computing Universiti Teknologi Malaysia (UTM))
Dr. Nor Erne Nazira Bazin (Department of Computing Universiti Teknologi Malaysia (UTM))
Dr. Hasanuddin Hasanuddin (Faculty of Social and Politic Sciences Riau University)



Article Info

Publish Date
01 Nov 2017

Abstract

Public policy is the critical key of the welfare programs.  It is also a powerful instrument to achieve a feasible national competitiveness. Unfortunately, many public policy making processes does not utilize an appropriate data and tool in holistic and systematical approach. This research will focus on creating a comprehensive conceptual framework for public policymaking based on data and system approach. In connection with information technology, there are at least two approaches that  will  be  considered  for  obtaining  a  more  comprehensive public policy.   First is utilization of Big Data to extract information. It is believed that if more accurate data are collected and analyzed, then more comprehensive public policy is created. Utilization of data mining will be intensively used to obtain knowledge. The second approach is the system dynamics. The knowledge created in the first approach is useful in modeling the system.      The   model  will   be  used  to   simulate   the   future possibilities of several scenarios. The scenario with the best outcome is selected as an input for public policymaking.   At the end of this research, a conceptual framework for public policy making will be created by incorporating Big Data and system dynamics.

Copyrights © 2017






Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...