Artificial Intelligence in Entrepreneurial Mindfulness Using CRISP-DM Method

Abstract

Entrepreneurship is an activity and process to generate added value in the economy. To support performance in carrying out entrepreneurial practices, an entrepreneur needs to develop entrepreneurial mindfulness. Entrepreneurial mindfulness is a concept based on cognitive construction so that it can influence identification and can proactively become the basis for the development of an entrepreneurial mindset. This study aims to build an artificial intelligence model that can predict the level of entrepreneurial mindfulness of users. To build an AI model, this research follows the workflow from CRISP-DM. CRISP-DM is one of the most popular lifecycles that is used for predictive analytics. There are four machine learning models that are used in this research, they are Random Forest, Adaboost, Gaussian Naïve Bayes and Deep Learning. By comparing the models using machine learning metrics, one best model can be used to be applied to the website. Accuracy, F1Score, Precision and Recall are used for evaluating machine learning models. At the end, Random Forest is used for predicting the level of mindfulness, because it has the highest values from all machine learning metrics (score of 0.95).