J-SAKTI (Jurnal Sains Komputer dan Informatika)
Vol 5, No 2 (2021): EDISI SEPTEMBER

Prediksi Kepribadian Berdasarkan Media Sosial Twitter Menggunakan Metode Naïve Bayes Classifier

A, Muhammad Ichsanudin (Unknown)
Irawan, Agung Susilo Yuda (Unknown)
solehudin, Arip (Unknown)



Article Info

Publish Date
30 Sep 2021

Abstract

Analysis of a person's personality is very helpful as an assessment in various matters such as recruitment, career, health. The methods commonly used in personality analysis are interviews, observations, and questionnaire surveys. This study tries to provide a solution by simply using social media, namely twitter, by analyzing twitter user information data called tweets, this is to add to the method of personality analysis. The method used in this personality prediction research is to classify a tweet into 5 personality forms. The personality method used by the researcher is the Big Five Personality which consists of openness, conscientiousness, extraversion, agreeableness, and neuroticism with classification calculations using Naive Bayes. The result of this research is an accuracy of 42% with the highest class, namely Agreeableness.

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Journal Info

Abbrev

jsakti

Publisher

Subject

Computer Science & IT

Description

JSAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa Pematangsiantar yang bertujuan untuk mewadahi penelitian di bidang Manajemen Informatika. JSAKTI (Jurnal Sains Komputer dan Informatika) adalah wadah informasi berupa hasil penelitian, studi kepustakaan, gagasan, aplikasi teori dan ...