Penerapan Algoritma Naïve Bayes untuk Analisis Potensi Siswa Berdasarkan Nilai Rapor
DOI:
https://doi.org/10.29407/11yxd610Keywords:
Analisis potensi siswa,, Data Mining,, Naive Bayes,, Nilai RaporAbstract
Pemanfaatan data akademik di sekolah masih belum optimal karena nilai rapor umumnya hanya digunakan untuk keperluan administratif. Padahal, data tersebut memiliki potensi besar untuk dianalisis lebih lanjut guna mengidentifikasi potensi akademik siswa secara objektif. Penelitian ini bertujuan untuk menganalisis dan mengklasifikasikan potensi akademik siswa MTsN 7 Kediri berdasarkan data nilai rapor menggunakan algoritma Naïve Bayes. Algoritma Naïve Bayes merupakan metode klasifikasi berbasis probabilitas yang bekerja dengan menghitung peluang setiap kelas potensi akademik berdasarkan data latih, melalui perhitungan probabilitas prior dan likelihood dari setiap atribut nilai mata pelajaran, kemudian menentukan kelas dengan nilai probabilitas tertinggi. Tahapan penelitian meliputi preprocessing data nilai rapor, pembagian data latih dan data uji, pelatihan model Naïve Bayes, serta evaluasi hasil klasifikasi. Implementasi sistem dilakukan menggunakan bahasa pemrograman Python dengan bantuan library Scikit-learn. Hasil penelitian menunjukkan bahwa algoritma Naïve Bayes mampu mengklasifikasikan potensi akademik siswa secara efektif dengan tingkat akurasi sebesar 77%, sehingga model yang dihasilkan dinilai cukup baik dalam memetakan kecenderungan potensi akademik siswa. Hasil ini diharapkan dapat menjadi pendukung pengambilan keputusan akademik berbasis data di lingkungan sekolah.
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