SISTEM PENENTUAN SISWA BERBAKAT MENGGUNAKAN METODE NAIVE BAYES BERBASIS WEBSITE (STUDI KASUS: SDN 2 NGADIREJO)

Destianto, Syahrul Reza (2026) SISTEM PENENTUAN SISWA BERBAKAT MENGGUNAKAN METODE NAIVE BAYES BERBASIS WEBSITE (STUDI KASUS: SDN 2 NGADIREJO). S1 thesis, Universitas PGRI Madiun.

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Abstract

The identification of gifted students at SDN 2 Ngadirejo is currently conducted manually based on teacher assessments, a process that is potentially subjective, lacks transparency, and is time-consuming. This research aims to design and develop a website-based Decision Support System using the Naive Bayes method to make the identification of gifted students more objective and accurate. The Naive Bayes method is employed to classify students based on probabilities derived from criteria such as academic grades, active participation, discipline, and achievements. The system was developed using the Extreme Programming (XP) methodology—encompassing planning, design, coding, and testing phases—and implemented using PHP and MySQL. The research results demonstrate that the system is capable of classifying students into "gifted" and "non-gifted" categories based on the highest probability, while also enhancing the effectiveness, accuracy, transparency, and efficiency of the decision-making process.

Item Type:	Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci:	Decision Support System; Naive Bayes; Gifted Students; Website; Classification
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Fakultas Teknik > Teknik Informatika
Depositing User:	DESTIANTO REZA SYAHRUL
Date Deposited:	18 Aug 2026 04:08
Last Modified:	18 Aug 2026 04:08
URI:	http://eprint.unipma.ac.id/id/eprint/8762

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