APLIKASI INTELIJENSIA BISNIS PADA PEMBERIAN BAGI HASIL (GAINSHARING) PEKERJA BERDASARKAN PRODUKTIVTAS TENAGA KERJA
Abstract
Persaingan ketat didalam perusahaan berkaitan dengan kualitas Sumber Daya Manusia dapat dilihat dari kinerja pekerja berdasarkan produktivitasnya. Produktivitas pekerja akan meningkat diiringi dengan adanya pemberian bagi hasil pekerja untuk meningkatkan motivasi pekerja. Tahapan yang dilakukan untuk mengetahui pemberian bagi hasil melalui 2 tahapan: pertama, mengidentifikasi faktor-faktor yang mempengaruhi produktivitas pekerja menggunakan metode RELIEF, kedua yaitu membuat strategi penilaian kinerja produktivitas pekerja menggunakan metode Decision Tree dan algoritma C4.5 untuk membentuk pohon keputusan. Hasil yang diperoleh bahwa faktor-faktor yang mempengaruhi produktivitas pekerja yaitu usia, kehadiran, upah yang diberikan, dan hasil produksi pekerja. Hasil strategi menggunakan Decision Tree menghasilkan 5 rule dengan status reward dan 5 rule dengan status punishment.
Kata kunci : Decision Tree C4.5, Produktivitas Tenaga Kerja, Intellijen bisnis, bagi hasil pekerja
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References
Cecala AB, Presutti WD, AB, dan SJ Liebowitz. 1989. Gainsharing : A Technique To Improve Management-Employee Relations and Mine Productivity.Mining Science and Technology. 8(2): 215-225.
Doan Thi HH dan Karine G. 2014. Real Exchange Rate and Productivity in a Specific-factor model with skilled and unskilled labour. Journal of Macroeconomics 40(2014):1-15.
Kaplan, Robert S, Norton, and David P. 1997. Translating Strategy Into Action The Balanced Scorecard. Havard Businee Scholl Press.Boston, Massachusetts.
Kelley P and Ronald WH. 2007. Engaging Associates And Unleashing Productivity: The Case for Simplified Gainsharing. Performance Improvement Feb 2007, 46(2) page 30.
Kim DO and Jeffry BA. 2005. Gainsharing and knowledge sharing: the effects of-labor-management co-operation. International Journal of Human Resource Management. 16-19 September (1564-1582).
Kim DO. 2005. The Benefit and Costs of Employee Suggestion Under Gainsharing. Industrial and Labor Relations Review. 58(4): 631-652.
Mitchell T. 1997. Machine Learning. Portland (US): McGraw-Hill.
Nazirza F and Pouya N. 2013. Dynamis modelling of labor productivity in construction projects. International Journal of Project Management. 31(2013):903-911.
Prasetyo Y. 2014. Analisis variabel-variabel yang mempengaruhi produktivitas tenaga kerja wanita pada industri tas (studi kasus pada tenaga kerja bagian produksi jahit industri tas UD.ABGIL Kec.Porong Kab.Sisoarjo). Jurnal ilmiah mahasiswa FEB. 2(2).
Rajaraman A, Leskovec J, Ullman JD. 2010. Mining of Massive Datasets. Cambridge (GB):Cambridge University Pr.
Welbourne TM, Luis R, and Gomez M. 1995. Gainsharing: a critical review and a future research agenda. Center for Advanced Human Resources Studies (CAHRS)
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