Predictive Analysis of The National Defense Index (IBN) on National Resilience Using Classification and Regression Trees (CART) Method

Farah Mufida  Qotrunnada; Setiyo  Budiyanto; Achmad Farid  Wadjdi

doi:10.55927/fjst.v4i1.13271

Authors

Farah Mufida Qotrunnada Universitas Pertahanan
Setiyo Budiyanto Universitas Pertahanan
Achmad Farid Wadjdi Universitas Pertahanan

DOI:

https://doi.org/10.55927/fjst.v4i1.13271

Keywords:

Technology, National Defense Index, CART, Python, Machine Learning

Abstract

IBN (National Defense Index) is an important indicator in measuring public awareness and participation in maintaining the sovereignty and stability of the country. With the increasing complexity of challenges to national resilience, a predictive approach is needed to understand the relationship between IBN and other variables that influence national resilience. The CART method is used to identify patterns and determine significant variables that play a role in strengthening national resilience. Through this model, the study aims to provide deeper insight for the formulation of more effective policies in building strong national resilience. The results of the study were obtained by identifying factors that influence the National Defense Index (IBN). The results of this study are expected to be a consideration for the basis for strategic policies in achieving the great goal of Indonesia Emas 2045 as a strong, sovereign, and sustainable country.

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