•  
  •  
 

Abstract

Development of Technology Parameter Towards Shipbuilding Productivity Predictor Using Cubic Spline Approach. Ability of production processes associated with state-of-the-art technology, which allows the shipbuilding, is customized with modern equipment. It will give impact to level of productivity and competitiveness. This study proposes a nonparametric regression cubic spline approach with 1 knot, 2 knots, and 3 knots. The application programs Tibco Spotfire S+ showed that a cubic spline with 2 knots (4.25 and 4.50) gave the best result with the value of GCV = 56.21556, and R2 = 94.03%.Estimation result of cubic spline with 2 knots for the PT. Batamec shipyard = 35.61 MH/CGT, PT. Dok & Perkapalan Surabaya = 27.49 MH/CGT, PT. Karimun Sembawang Shipyard = 27.49 MH/CGT, and PT. PAL Indonesia = 19.89 MH/CGT.

Bahasa Abstract

Kemampuan proses produksi yang dihubungkan dengan state-of-the-art teknologi memungkinkan pembangunan kapal yang disesuaikan dengan peralatan mutakhir akan berdampak pada tingkat produktivitas dan daya saing. Studi ini mengusulkan pendekatan regresi nonparametrik splin kubik dengan 1 knot, 2 knot, dan 3 knot. Aplikasi program Tibco Spotfire S+ menunjukkan bahwa splin kubik dengan 2 knot (4,25 dan 4,50) memberikan hasil terbaik dengan nilai general cross validation (GCV) = 56,21556 dan R2 = 94,03%. Hasil estimasi splin kubik dengan 2 knot untuk PT. Batamec Shipyard = 35,61 MH/CGT, PT. Dok & Perkapalan Surabaya = 27,49 MH/CGT, PT. Karimun Sembawang Shipyard = 27,49 MH/CGT, dan PT. PAL Indonesia = 19,89 MH/CGT.

References

  1. KPIN, Analisa Daya Saing Internasional Sektor Industri, Kebijakan Pembangunan Industri Nasional, Departemen Perindustrian Republik Indonesia, Jakarta, 2004.
  2. M. Porter, Competitive Advantage Creating and Sustaining Superior Performance, SimonSays.com, 1998.
  3. I.P. Mulyatno, Majalah Kapal, 3/1 (2004) 62.
  4. S. Nagatsuka, Study of the Productivity of Japan and South Korea’s Shipbuilding Yards Based on Statistical Data, Japan Maritime Research Institute (JAMRI), The Manufacturing Technology (MANTECH) Program and National Shipbuilding Research Program (NSRP), 2000.
  5. NSRP ASE, Benchmarking of U.S. Shipyard: Industry Report, 2001.
  6. T. Lamb, A. Hellesoy, Journal of Ship Production 18/2 (2002) 79.
  7. A. Bilfarsah, J. Makara Seri Sains, 9/1 (2005) 28.
  8. R.L. Eubank, Nonparametric Regression and Spline Smoothing, 2nd ed, Marcell Dekker, Inc., New York, 1999, p. 438.
  9. T.C.M. Lee, Stat. Probab. Lett. 48 (2002) 71.
  10. B. Anderson, Regression III: advanced methods, lecturer 15: regression spline [internet], 2005 [access: 20 Mei 2005]. Available from: http//socserv.mcmaster,ca/anderson/15.spline.pdf.
  11. M.P. Wand, Comput. Stat. 15 (2000) 443.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.