Penerapan Data Mining Penilaian Afdeling Terbaik Menggunakan Algoritma CART pada PTPN II Langkat
DOI:
https://doi.org/10.32493/jtsi.v7i2.38405Keywords:
Data Mining; Section; Algorithm Classificassion and Regression Trees (CART)Abstract
In an afdeling, the oversight cycle should be done by an afdeling head. The PTPN II Langka assembly unit assessment process is not carried out in a professional manner; rather, it is based on the assembly's output. This will result in assessment results that are not in line with the anticipated qualifications and are deemed to be less effective. Aside from that, it is conceivable that there will be comparable creation brings about other afdelings so it is extremely challenging to decide the best afdeling that meets the normal capabilities. This happens in light of the fact that there is no deliberate standard strategy for evaluating the appropriateness of the best connection unit. The CART algorithm was used to classify the best afdeling based on existing variables in order to provide results that could simplify and lighten the Head of PTPN II Langkat's work and make it easier to choose the best afdeling. System development makes use of the Rapid Application Development (RAD) methodology
References
Alfiantoa, E. A., & Fazizahb, A. (2019). Perbandingan Peran Pekerja Pria Dan Pekerja Wanita Terhadap Jumlah Hasil Kerja Memetik Daun Teh. Jurnal Administrasi Bisnis (JABis) p-ISSN, 1836, 2277.
Anufia, B., & Alhamid, T. (2019). Instrumen pengumpulan data.
Ardhiyani, R. P., & Mulyono, H. (2018). Analisis dan perancangan sistem informasi pariwisata berbasis web sebagai media promosi pada kabupaten tebo. Jurnal Manajemen Sistem Informasi, 3(1), 952–972.
Binjori, A. S. (2020). Implementasi Data Mining Untuk Pengembangan Sistem Rekomendasi Pemilihan SMK Dengan Menggunakan Algoritma Cart. KLIK: Kajian Ilmiah Informatika Dan Komputer, 1(2), 42–48. http://djournals.com/klik/article/view/46
Irfansyah, H. (2021). Sistem Monitoring Aktivitas Karyawan Lapangan dengan Metode Lock GPS Berbasis Cloud pada PTP. Nusantara II. Universitas Islam Negeri Sumatera Utara.
Muflihin, H. H., Dhika, H., & Handayani, S. (2020). Perancangan Sistem Informasi Inventory Pada Toko Rosadah. Bianglala Informatika, 8(2), 91–99.
Oktaviana, R., & Anistyasari, Y. (2018). Pengembangan Game Puzzle Equilibrium Untuk Mendeteksi Gaya Belajar Persepsi Siswa. IT-Edu: Jurnal Information Technology and Education, 3(02).
Pakpahan, H. S., Indar, F., & Wati, M. (2018). Penerapan Algoritma Cart Decision Tree Pada Penentuan Penerima Program Bantuan Pemerintah Daerah Kabupaten Kutai Kartanegara. Jurnal Rekayasa Teknologi Informasi (JURTI), 2(1), 27. https://doi.org/10.30872/jurti.v2i1.1372
Purnamawati, A., Winnarto, M. N., & Mailasari, M. (2022). Analisis Cart (Classification and Regression Trees) Untuk Prediksi Pengguna Sepeda Berdasarkan Cuaca. Jurnal Teknoinfo, 16(1), 14. https://doi.org/10.33365/jti.v16i1.1478
Risaldi, M. A., Anton, & Astuti, P. (2020). Perancangan Sistem Informasi Menggunakan Metode Waterfall Untuk Pengajuan Cuti Dan Perjalanan Dinas Pada Pt. Igtax Ekuseru Indonesia. Buffer Informatika, 6(2), 27–36. https://www.journal.uniku.ac.id/index.php/buffer/article/view/3531
Rukajat, A. (2018). Pendekatan penelitian kualitatif (Qualitative research approach). Deepublish.
Sagala, J. R. (2018). Model Rapid Application Development (Rad) Dalam Pengembangan Sistem Informasi Penjadwalan belajar Mengajar. Jurnal Mantik Penusa, 2(1), 88.
Tarigan, J., & Mitaria, M. (2020). Pengaruh Motivasi Terhadap Kinerja Karyawan Pada Pt Perkebunan Nusantara IV Medan. Jurnal Ilmiah Socio Secretum, 9(2), 257–273.
Wong, N. P., Damanik, F. N. S., -, C., Jaya, E. S., & Rajaya, R. (2019). Perbandingan Algoritma C4.5 dan Classification and Regression Tree (CART) Dalam Menyeleksi Calon Karyawan. Jurnal SIFO Mikroskil, 20(1), 11–18. https://doi.org/10.55601/jsm.v20i1.622
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