¹Andi Oktafiqurahman,²Kusrini,³Asro Nasiri

^1,2,3MTI Universitas AMIKOM Yogyakarta , Jl Ringroad Utara, Condongcatur, Depok, Sleman, Yogyakarta Indonesia 55283

DOI : https://doi.org/10.47191/ijsshr/v6-i7-50

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ABSTRACT

Social media is now almost a part of life for people of almost all ages with diverse personalities. This study aims to predict a person's personality based on Facebook social media status using the Naïve Bayes algorithm and K-NN personalities based on the big five. The data taken from MyPersonality which is divided into 40% training data, and 60% test data produces an accuracy rate of 100%, 100% precision, 100% recall can be concluded that the prediction variables are (significant) with the Naive Bayes method. While predictions using the KNN method showed an average personality prediction value with an accuracy of 58.96% (Insignificant), precision 99.12% (Significant), and recall 2.34% (Insignificant). Based on research can be concluded that both Naïve Bayes and KNN methods can be used to predict personality based on Facebook status.

KEYWORDS:

Naïve Bayes, K-NN, Prediction, Personality, Facebook

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VOlUME 06 ISSUE 07 JULY 2023