SEEDING BIG DATA IN INDONESIAN CORRECTIONAL JUSTICE SYSTEM FOR INTERVENING RESTORATIVE PROGRAM: A CONCEPTUAL PAPER

Authors:

Abdul Samad Dahri,Shafiq-ur-Rehman Massan,Liaquat Ali Thebo,

DOI NO:

https://doi.org/10.26782/jmcms.2020.07.00028

Keywords:

Restorative Justice,Big Data, Indonesia,Conceptual paper,

Abstract

Prisons are overcrowded and running out of capacity globally including Indonesia. The Indonesian justice system is claimed for irregularities and prisoner recidivism issues, thus, needs remedy than ever before to monitor prisoners’ actions. To help this situation, Indonesia is enforcing a restorative justice system for post-prison rehabilitation and reintegration of people back in society. This article has addressed the restorative justice system from Big Data perspective. This might face data management issues and techniques to interpret and extract relevant information. Here, Big Data and analytic techniques are introduced for a breakthrough in Indonesian restorative justice system towards a potentially more controlled and meaningful digital era of correctional programming. Potential implications are unearthed, likewise, recommendations are limitless. Similarly, research terrain is vastly unknown which attracts further investigation in both conceptual and empirical field regarding the law, policy, and practice for overall strong Indonesian judicial system.

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