Analysis Of The Effect Of Knowledge On Entrepreneurship Readiness Using Random Forest Classification Machine Learning

Ariyono Setiawan

doi:10.47577/tssj.v23i1.4500

Abstract

Entrepreneurship is a phenomenon that has an important influence on the progress and welfare of the world, so that entrepreneurship is used as the base of economic development. Psychologically, entrepreneurs are people who have a strong internal drive as an effort to achieve certain goals so that they have a tendency to experiment in showing a character that is free from the control of others. Entrepreneurship can be seen from various points of view. The angle and context in question are views from several fields, namely according to economists, management, business people, psychologists and investors. The main requirement that an entrepreneur must have is entrepreneurial knowledge. entrepreneurial readiness is determined by the knowledge possessed and experience in conducting a business (Kurniawati, 2019). In the midst of the rapid development of artificial intelligence (AI) technology today. Not many people know that artificial intelligence consists of several branches, one of which is machine learning. This machine learning (ML) technology is one of the branches of AI that is very interesting. The sample population in this study was obtained from the air transportation school consisting of 7 populations. Data analysis is done by using . The research location is an air transportation school with Machine Learning Random Forest Classification with a population of cadets, lecturers and the general public

Highlights

Entrepreneurship is an activity in creating something that has added value through the development of technology and science in order to win the competition, and entrepreneurship is a process of creating wealth through highlighting added value by utilizing the knowledge, skills and available resources
The background underlying this research is to find out that the knowledge factor affects the readiness of cadets in entrepreneurship
The random forest method is included in the development method of the CART method, with the application of bootstrap aggregating and random feature selection methods (Breiman 2001)

Summary

Introduction

Entrepreneurship is an activity in creating something that has added value through the development of technology and science in order to win the competition, and entrepreneurship is a process of creating wealth through highlighting added value by utilizing the knowledge, skills and available resources. The background underlying this research is to find out that the knowledge factor affects the readiness of cadets in entrepreneurship. Not many people know that artificial intelligence consists of several branches, one of which is machine learning. This machine learning (ML) technology is one of the branches of AI that is very interesting, why? In this study using machine learning artificial intelligence. With Knowledge Variable Missing value of 0, Valid 585 with knowledge instruments as many as 7 Question instruments were asked of respondents on entrepreneurial readiness. With the Readiness Variable Missing value 0, Valid 585 with a readiness instrument as many as 5 Question instruments were asked of respondents on entrepreneurial readiness.

Result and Discussion

Evaluation Metrics

Conclusion