Implementasi Algoritma C5.0 pada Penilaian Kinerja Pegawai Negeri Sipil

  • Putu Wirya Kastawan Teknik Elektro
  • Dewa Made Wiharta
  • Made Sudarma

Abstract

Employees become the spearhead of every Company, whether it is run the business on manufacture or service. The position and role of public government employees as an element of civil servant obligate them to provide fair public services. Refers to those facts, the performance of public government employees needs to be well managed. The algorithm C5.0 is one of the decision tree algorithm which can process the employees performance data become an input for decision-making. Based on evaluation result of 184 employees performance datas, there was a high accurracy data in level 96.08%. Due to  that result, the algorithm system can be developed become e-performance system which can predict or giving an advice in order to decision-making processes whether for assigning promotion, ranking or giving performance allowances.

Downloads

Download data is not yet available.

References

[1] Laksmidewi,N.L.A, Linawati,Widyantara I.M.O, “Evaluasi Sistem Informasi Manajemen Kepegawaian dengan DS5 dan DS9 COBIT 4.1 Studi Kasus : Pemprov Bali”.Denpasar:Teknologi Elektro, Vol.17.no. 1.Januari-April 2018.
[2] W. Yusuf Y, “Perbandingan Performansi Algoritma Decision Tree C5.0, CART, Dan CHAID: Kasus Prediksi Status Resiko Kredit Di Bank X”. Seminar, vol. 2007, no. Snati, pp. 0–3, 2007.
[3] P. N. Patil, R. Lathi, and V. Chitre, “Comparison of C5 . 0 & CART Classification algorithms using pruning technique,” Int. J. Eng. Res. Technol., vol. 1, no. 4, pp. 1–5, 2012.
[4] Moss larissa T. and Said Adelman, “Data Warehouse Project Mangement”. Canada: Addison-Wesley, 2000.
[5] Han, Jiawei dan Kamber, Micheline. “Data Mining: Concepts and Techniques. 3rd Edition”, Morgan Kaufmann, Burlington.2011
[6] G. I. Sammut, Claude, Webb, “Encyclopedia of Machine Learning and Data Mining”. Springer, 2011.
[7] Larose, Daniel T., “Discovering Knowledge in Data: An Introduction to Data Mining”. New Jersey : John Willey & Sons, Inc. 2005
[8] M. Sokolova dan G. Lapalme, “A systematic analysis of performance measures for classification tasks,” Inf. Process. Manag., vol. 45, no. 4, hal. 427–437, 2009.
[9] Prasetyo, E. “Data Mining Mengolah Data Menjadi Informasi Menggunakan MATLAB”. Yogyakarta: ANDI.2012
[10] N. L. Ratniasih, M. Sudarma, N. Gunantara, “Penerapan Text Mining dalam Spam Filtering untuk Aplikasi Chat,” Denpasar: Teknologi Elektro,vol. 16, no. 3, September-Desember 2017.
Published
2018-12-05
How to Cite
KASTAWAN, Putu Wirya; WIHARTA, Dewa Made; SUDARMA, Made. Implementasi Algoritma C5.0 pada Penilaian Kinerja Pegawai Negeri Sipil. Majalah Ilmiah Teknologi Elektro, [S.l.], v. 17, n. 3, p. 371-376, dec. 2018. ISSN 2503-2372. Available at: <https://ojs.unud.ac.id/index.php/JTE/article/view/41634>. Date accessed: 02 june 2020. doi: https://doi.org/10.24843/MITE.2018.v17i03.P11.