KLASIFIKASI JURUSAN MENGGUNAKAN METODE NAÏVE BAYES PADA SEKOLAH MENENGAH ATAS NEGERI (SMAN) 1 FATULEU TENGAH

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Arrdy Hailitik
Bertha S Djahi
Yelly Y Nabuasa

Abstract

Naïve bayes is the classification method which utilizes the both probabilities and statistics to predict the future opportunity by using the last experiance. The system of major in the senior high school is the means of students directing to be more based on their interest and academic competence. The major in East SMAN 1 Fatuleu consists of the Science and Social majors. This research is using the Method of Naïve bayesto classify the student major. The data of student that is used here is the grade XI for second semester in the years of 2011 to 2015 with the 470 for the total data. For the testing proces is used 420 data (89%) as trains data and 50 data (11%) as tests data. The result of this research shows the amount of 99.31% accuracy in the process of major classification.

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How to Cite
Hailitik, A., Djahi, B., & Nabuasa, Y. (2017). KLASIFIKASI JURUSAN MENGGUNAKAN METODE NAÏVE BAYES PADA SEKOLAH MENENGAH ATAS NEGERI (SMAN) 1 FATULEU TENGAH. Jurnal Komputer Dan Informatika, 5(2), 21-27. https://doi.org/10.35508/jicon.v5i2.361
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References

[1] Anandita, E. R., 2014, Klasifikasi Tebu dengan Menggunakan Algoritma Naïve Bayes Classification pada Dinas Kehutanan dan Perkebunan Pati, Universitas Dian Nuswantoro, Semarang.
[2] Bustami, 2014, Penerapan Algoritma Naïve Bayes untuk Mengklasifikasi Data Nasabah Asuransi, Universitas Malikussaleh, Lhokseumawe.
[3] Kristanto, O., 2014, Penerapan Algoritma Klasifikasi Data Mining ID3 untuk Menentukan Penjurusan Siswa SMAN 6 Semarang, Universitas Dian Nuswantoro, Semarang.
[4] Nugroho, Y. S., 2014, Data Mining Menggunakan Algoritma Naïve Bayes Untuk Klasifikasi Kelulusan Mahasiswa Universitas Dian Nuswantoro, Universitas Dian Nuswantoro, Semarang.
[5] Rahayu, E. B., 2015, Algoritma C4.5 untuk Penentuan Jurusan Siswa SMA Negeri 3 Pati, Universitas Dian Nuswantoro, Semarang.
[6] Rosdiyansyah, S. F., 2012, Klasifikasi Posting Twitter Kemacetan Lalu Lintas Kota Bandung menggunakan Naive Bayesian Classification, Universitas Pendidikan Indonesia, Bandung.
[7] Rufaidah, A., 2015, Pengaruh Intelegensi dan Minat Siswa Terhadap Putusan Pemilihan Jurusan, Universitas Indraprasta PGRI, Jakarta Selatan.
[8] Saleh, A., 2015, Implementasi Metode Klasifasi Naïve Bayes dalam Memprediksi Besarnya Penggunaan Listrik Rumah Tangga. Universitas Potensi Utama, Medan.
[9] Tefnai, M., 2016, Klasifikasi Jurusan di Sekolah Menengah Atas Negeri (SMAN) 1 Fatuleu Tengah Menggunakan Metode K-Nearest Neighbor, Universitas Nusa Cendana, Kupang.

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