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All Journal JPTK: Jurnal Pendidikan Teknologi dan Kejuruan MEDIAPSI CogITo Smart Journal Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Indonesian Community Journal
Herawati, Icha
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : CogITo Smart Journal

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Machine Learning-Based Counseling to Predict Psychological Readiness for Aspiring Entrepreneurs Syafitri, Nesi; Farradinna, Syarifah; Arta, Yudhi; Herawati, Icha; Jayanti, Wella
CogITo Smart Journal Vol. 10 No. 2 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i2.553.510-521

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
Co-Authors Amita, Nindy Farradinna, Syarifah IZZATI, HALIMAH NUR Jayanti, Wella Mulyani, Ajeng Hari Rizal, Irfani Syafitri, Nesi Umi Muslikhah, Umi Widiantoro, Didik Yudhi Arta, Yudhi