Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Vol 5 (2023): SNISTEK

Prediksi Kepribadian Mahasiswa Menggunakan Naïve Bayes

Muhammat Rasid Ridho (Universitas Putera Batam)
Sasa Ani Arnomo (Universitas Putera Batam)
Fifi Fifi (Universitas Putera Batam)
Khisal Khisal (Universitas Putera Batam)
Vina Fariska (Universitas Putera Batam)



Article Info

Publish Date
28 Sep 2023

Abstract

College students are in a transitional phase from youth to adulthood. The transition period makes students still unstable to control their emotions. It makes his curiosity towards new things increase which then shows his personality traits. The purpose of this study was to find out how researchers collect data about personality from students, to find out how to classify personality from the data that has been collected. Research methods start from collecting data using Text Preprocessing questionnaires, Data Training, Classification, Testing, to making predictions. After applying the classification algorithm with the Naïve Bayes algorithm, the Train Score is 0.947 and the Test Score is 0.879. Trials have also been carried out to make predictions with new data whose results are correct.

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Journal Info

Abbrev

prosiding

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance Social Sciences Other

Description

SNISTEK adalah sebuah acara akademik yang prestisius dan berkualitas, yang diadakan setiap tahun dengan tujuan untuk mendukung pertukaran pengetahuan, ide, dan temuan terbaru dalam bidang ilmu sosial dan teknologi. Seminar ini merupakan platform ideal bagi para ilmuwan, peneliti, praktisi, dan ...