Klasifikasi Kepuasan Siswa Terhadap Fasilitas Bengkel Automotif Pada SMK HKBP Pematangsiantar dengan Algoritma Naive Bayes
(1) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(2) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(3) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(*) Corresponding Author
Abstract
This study discusses student satisfaction with automotive workshops at SMK HKBP Pematangsiantar based on the automotive workshop facilities. The research data was obtained by distributing questionnaires about student satisfaction with automotive workshop facilities and distributed to 89 respondents. The data is processed by the Naive Bayes classifier algorithm method. The results of this study indicate that through the Data Mining technique, the Nae Bayes method used, the authors have succeeded in collecting, analyzing, and classifying student satisfaction data at the TSM Automotive Workshop at SMK HKBP Pematangsiantar, obtained the Satisfied classification with a value of 0.494 and the Dissatisfied classification with a value of 0.506.
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J. I. Pengetahuan and D. A. N. T. Komputer, ALGORITMA KLASIFIKASI NAIVE BAYES DAN SUPPORT VECTOR, vol. 5, no. 2, pp. 211220, 2020.
T. Rosandy, Perbandingan Metode Naive Bayes Classifier dengan Metode Decision Tree Untuk Menganalisa Kelancaran Pembiayaan, Jurnal TIM Darmajaya, vol. 02, no. 01, pp. 5262, 2016.
H. Suseno, A. Wanhari, and S. Masruroh, Comparison of C4.5 and Nave Bayes Algorithm for Mustahik Classification, in ICIIS 2019, 2020, pp. 112, doi: 10.4108/eai.7-11-2019.2294560.
H. Herlawati, R. T. Handayanto, P. D. Atika, F. N. Khasanah, A. Y. P. Yusuf, and D. Y. Septia, Analisis Sentimen Pada Situs Google Review dengan Nave Bayes dan Support Vector Machine, Jurnal Komtika (Komputasi dan Informatika), vol. 5, no. 2, pp. 153163, 2021, doi: 10.31603/komtika.v5i2.6280.
B. libar, Predicting the number of downloads of open datasets by naive bayes classifier, TEM Journal, vol. 8, no. 4, pp. 13311338, Nov. 2019, doi: 10.18421/TEM84-33.
W. D. Septiani, Komparasi Metode Klasifikasi Data Mining Algoritma C4.5 Dan Naive Bayes Untuk Prediksi Penyakit Hepatitis, None, vol. 13, no. 1, pp. 7684, 2017, doi: 10.33480/pilar.v13i1.149.
H. Rofiq, K. C. Pelangi, and Y. Lasena, Penerapan Data Mining Untuk Menentukan Potensi Hujan Harian Dengan Menggunakan Algoritma Naive Bayes, Jurnal Manajemen Informatika dan Sistem Informasi, vol. 3, no. 1, pp. 815, 2020.
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