HARMONIZATION OF PANCASILA VALUES IN LEGISLATION USING NATURAL LANGUAGE PROCESSING METHODS
This study aims to examine the coherence of Pancasila values in Indonesian legislation. This research falls under normative legal research using the Philosophical Approach, Statute Approach, Conceptual Approach, Historical Approach, and Comparative Approach. The results of this study reveal that the normativization of Pancasila values in legislation is carried out to ensure that the principles and ideals of the nation are reflected and maintained in Indonesian laws and regulations. In the normativization process, Pancasila value indicators function as a tool for validating legislation or legal norms (Pancasila as a tool of validity of norm) by providing a basis for assessing the compliance and coherence of a law or regulation. Using Natural Language Processing (NLP) methods, the results of text similarity tests generally indicate that Indonesian legislation lacks grammatical proximity in terms of both "words" and "terms," as some analyzed regulations still have CountVectorizer or TfIdfVectorizer values far from cosine 1. This also means that these regulations may disregard or even contradict Pancasila values. However, on the other hand, this NLP method also shows that the Human Rights Law (UU HAM) has internalized Pancasila values in the formation of its norms.
Harmonization; Pancasila, Legislation, Natural Language Processing.