Klasifikasi Kepuasan Siswa Terhadap Kinerja Guru Smk Satrya Budi 2 Perdagangan Menggunakan Algoritma C4.5
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Wili Darma Kusuma
*
STIKOM Tunas Bangsa, Pematangsiantar,
Indonesia
- Suhada Suhada AMIK Tunas Bangsa, Pematangsiantar, Indonesia
- Saifullah Saifullah STIKOM Tunas Bangsa, Pematangsiantar, Indonesia (*) Corresponding Author
Abstract
The purpose of this study was to measure student satisfaction with teacher performance Smk Satrya Budi 2 Perdagangan using classification data mining techniques C4.5 Algorithm. Data Sources obtained from questionnaires that have been given to students Smk Satya Budi 2 Perdagangan and giving questionnaires to students as many as 97 students. attributes used as a parameter for assessing student satisfaction include: Teacher attendance (C1), Material Mastery (C2), Material Explanation (C3), Tasks (C4), Attitude Teacher (C5), and Teacher appearance (C6). The results of processing the C4.5 algorithm using the help of Weka software are the attributes of teacher attendance (C1) and material explanation (C3) which are attributes that affect student satisfaction on teacher performance. And the accuracy value shown against the suitability of the C4.5 algorithm with student satisfaction with teacher performance is 94%. The benefit of this research is to improve the quality of teacher performance and improve the quality of teacher teaching
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References
M. Kristiawan And N. Rahmat, “Peningkatan Profesionalisme Guru Melalui Inovasi Pembelajaran,” J. Iqra’ Kaji. Ilmu Pendidik., Vol. 3, No. 2, Pp. 373–390, 2018, Doi: Https://Doi.Org/10.25217/Ji.V3i2.348.
B. G. Gerardo, S. Saifullah, And E. Irawan, “Teknik Data Mining Dalam Penilaian Pengajaran Guru Berdasarkan Indeks Kepuasan Siswa,” Komik (Konferensi Nas. Teknol. Inf. Dan Komputer), Vol. 3, No. 1, Pp. 508–514, 2019, Doi: 10.30865/Komik.V3i1.1634.
C. U. Memprediksi And P. Diabetes, “Analisa Metode Classification-Decission Tree Dan Algoritma,” Vol. 2, No. 1, Pp. 10–17, 2019.
A. D. P. Yulia, “Computer Based Information System Journal Data Mining Menggunakan Algoritma C4.5 Untuk Memprediksi Kepuasan Mahasiswa Terhadap Terhadap Kinerja Dosen Di Kota Batam,” Comput. Based Informaon Syst. J., Vol. 07, No. 02, Pp. 56–66, 2019.
K. Malik And M. Faid, “Prediksi Prestasi Siswa Smp Nurul Jadid Menggunakan Algoritma C4.5,” Nusant. J. Comput. Its Appl., Vol. 2, No. 4, Pp. 2–5, 2016.
M. G. Sadewo, A. P. Windarto, And D. Hartama, “Penerapan Datamining Pada Populasi Daging Ayam Ras Pedaging Di Indonesia Berdasarkan Provinsi Menggunakan K-Means Clustering,” Infotekjar (Jurnal Nas. Inform. Dan Teknol. Jaringan), Vol. 2, No. 1, Pp. 60–67, 2017.
F. Riandari And A. Simangunsong, “Penerapan Algoritma C4.5 Untuk Mengukur Tingkat Kepuasan Mahasiswa,” Terakreditasi Dikti, Vol. 3, No. 2, Pp. 1–7, 2019.
E. Elisa, “Analisa Dan Penerapan Algoritma C4.5 Dalam Data Mining Untuk Mengidentifikasi Faktor-Faktor Penyebab Kecelakaan Kerja Kontruksi Pt.Arupadhatu Adisesanti,” J. Online Inform., Vol. 2, No. 1, P. 36, 2017, Doi: 10.15575/Join.V2i1.71.
D. N. Batubara And A. P. Windarto, “Analisa Klasifikasi Data Mining Pada Tingkat Kepuasan Pengunjung Taman Hewan Pematang Siantar Dengan Algoritma,” Komik (Konferensi Nas. Teknol. Inf. Dan Komputer), Vol. 3, No. 1, Pp. 588–592, 2019, Doi: 10.30865/Komik.V3i1.1664.
A. Shiddiq, R. K. Niswatin, And I. N. Farida, “Ahmad Shiddiq Analisa Kepuasan Konsumen Menggunakan Klasifikasi Decision Tree Di Restoran Dapur Solo (Cabang Kediri),” Gener. J., Vol. 2, No. 1, P. 9, 2018, Doi: 10.29407/Gj.V2i1.12051.
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