Machine Learning-Based Counseling to Predict Psychological Readiness for Aspiring Entrepreneurs

Nesi Syafitri; Syarifah Farradinna; Yudhi Arta; Icha Herawati; Wella Jayanti

doi:10.31154/cogito.v10i2.553.510-521

Authors

Nesi Syafitri Teknik Informatika, Fakultas Teknik, Universitas Islam Riau
Syarifah Farradinna Psikologi, Fakultas Psikologi, Universitas Islam Riau
Yudhi Arta Teknik Informatika, Fakultas Teknik, Universitas Islam Riau
Icha Herawati Psikologi, Fakultas Psikologi, Universitas Islam Riau
Wella Jayanti Psikologi, Fakultas Psikologi, Universitas Islam Riau

DOI:

https://doi.org/10.31154/cogito.v10i2.553.510-521

Keywords:

Psychology, Enterprenuership, Machine Learning, Naive Bayesian, K-NN

Abstract

Machine learning has become an exciting topic in psychology-related research, one of which is counseling psychological readiness for entrepreneurship. An intelligent application developed using a machine learning model to assist the counseling process in measuring a person's psychological readiness for entrepreneurship. This application was generated using the Entrepreneurship Psychological Readiness (EPR) instrument. In this study, to get the most suitable machine learning model, a comparison of 2 (two) machine learning models, namely, Naïve Bayesian (NB) and k-Nearest Neighbor (k-NN), involving 1095 training data. There are 4 (four) prediction classes recommended from the results of counseling: categories not ready for entrepreneurship, given training, guided, and prepared for entrepreneurship. The EPR instrument consists of 33 question items to measure 8 (eight) parameters used as inputs for the prediction process. The data has been randomized, and the experiment has been repeated 5 (five) times to check the consistency of performance of all techniques. 80% of the data was used as training data, and the other 20% was used as testing data. The results of the five (5) trials show that the Naïve Bayesian model provides the most consistent results in predicting a person's psychological readiness for entrepreneurship, with 89.58% accuracy, in testing. Therefore, the Naïve Bayesian model is recommended to be used in psychological counseling to predict a person's readiness for entrepreneurship

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