Please use this identifier to cite or link to this item: https://repositori.uma.ac.id/handle/123456789/25021
Title: Klasifikasi Karakteristik Kepribadian Siswa Sekolah SD Hasanuddin dengan Menggunakan Metode Naive Bayes
Other Titles: Classification of Personality Characteristics of Hasanuddin Elementary School Students Using the Naive Bayes Method
Authors: Lubis, Muhammad Kosim
metadata.dc.contributor.advisor: Khairina, Nurul
Keywords: klasifikasi;naïve bayes;karakteristik kepribadian;sd hassanudin;personality characteristics;classification
Issue Date: 26-Mar-2024
Publisher: UNIVERSITAS MEDAN AREA
Series/Report no.: NPM;178160025
Abstract: Klasifikasi karakteristik kepribadian siswa SD Hassanudin menggunakan metode naive bayes. Penelitian ini dilakukan dengan mengumpulkan data karakteristik kepribadian siswa melalui metode observasi dan wawancara. Selanjutnya, data tersebut diolah dan dianalisis menggunakan algoritma Naive Bayes untuk mengklasifikasikan karakteristik kepribadian siswa ke dalam kategori tertentu. Metode naive bayes dipilih karena kemampuannya dalam mengatasi masalah klasifikasi dengan dataset yang relatif kecil dan variabel yang saling terkait. Hasil penelitian diharapkan dapat memberikan gambaran yang jelas mengenai karakteristik kepribadian siswa SD Hassanudin, serta memberikan kontribusi terhadap pengembangan metode klasifikasi kepribadian yang dapat diterapkan dalam konteks pendidikan. Penelitian ini diharapkan dapat memberikan pemahaman lebih lanjut tentang hubungan antara karakteristik kepribadian siswa dan metode klasifikasi naive bayes. Selain itu, temuan dari penelitian ini dapat menjadi dasar untuk pengembangan strategi pendidikan yang lebih personal dan efektif di tingkat SD, serta memberikan kontribusi terhadap penelitian kepribadian dan teknik klasifikasi dalam konteks pendidikan dasar. Classification of personality characteristics of Hassanudin Elementary School students using the Naive Bayes method. This research was conducted by collecting data on students' personality characteristics through observation and interview methods. Next, the data is processed and analyzed using the Naive Bayes algorithm to classify students' personality characteristics into certain categories. The naive Bayes method was chosen because of its ability to overcome classification problems with relatively small datasets and interrelated variables. It is hoped that the research results will provide a clear picture of the personality characteristics of Hassanudin Elementary School students, as well as contribute to the development of personality classification methods that can be applied in educational contexts. This research is expected to provide further understanding of the relationship between student personality characteristics and the Naive Bayes classification method. In addition, the findings from this research can serve as a basis for the development of more personalized and effective educational strategies at the elementary level, as well as contribute to research on personality and classification techniques in the context of elementary education.
Description: 95 Halaman
URI: https://repositori.uma.ac.id/handle/123456789/25021
Appears in Collections:SP - Informatic Engineering

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178160025 - Muhammad Kosim Lubis - Fulltext.pdfCover, Abstract, Chapter I, II, III, V, Bibliography1.97 MBAdobe PDFView/Open
178160025 - Muhammad Kosim Lubis - Chapter IV.pdf
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