Harmonizing Government Regulations Using ^Bigram Wordprint^: A Conceptual Framework
Isnina Ashri*, Gadang Ramantoko*, and Helni M Jumhur*

Magister Manajemen, School of Economics and Business, Telkom University.

Abstract

Harmonizing law into regulation process in Indonesia is tedious and time consuming. This is the case of Omnibus Law process. Omnibus Law on Job Creation Law is a simplification of regulations, especially in licensing process to make it easier for business actors to open their businesses in Indonesia. One thing that can help realize the ease of opening new businesses and support efforts the government is an OSS-RBA system, this system is built to adjust the Job Creation Law so that can encourage the spirit of simplification of business licensing and therefore avoid overlapping of regulations in Indonesia. This study aims to develop a conceptual framework of a system that enable parties concerned to foresee if the product of regulations in the form of Government Regulation (Peraturan Pemerintah), as derivatives of Omnibus Law, overlap one to another. The method resides on regarding the Ministerial Decree as conceptual corpora. Using the text mining and NLP methods, the suspected overlap conceptual corpora are further processed into features called bigram wordprint. Chisquare test and visualization graph is then carried out to investigate the depth of overlap. The system is intended to study patterns in each regulation (eleven Government Regulations) and compare each of these patterns to the patterns of Master regulation (Peraturan Pemerintah No 5/2021).

Keywords: Regulation, conceptual corpora, text mining, NLP, bigram wordprint.

Topic: Digital Business Strategy