Article Sidebar

Submitted
December 19, 2023
Accepted
December 22, 2023
Published
December 23, 2023
Download
PDF
Statistic
Read Counter : 56 Download : 37

Main Article Content

Abstract

Kinerja proyek konstruksi ditentukan oleh banyak indikator. Salah satu indikator yang menentukan kinerja proyek adalah proyek dapat diserahterimakan sesuai jadwal. Untuk bisa menjalankan proyek konstruksi tepat waktu, indikator yang tepat harus memiliki hasil yang maksimal. Dari semua indikator yang ada, perlu dilakukan analisa sehingga seorang pemimpin bisa mengambil keputusan yang tepat untuk mengatasi keterlambatan proyek. Analisa Key Performance Index (KPI) Proyek dilakukan dengan cara menganalisa keterkaitan antar KPI dan menyimpulkan susunan KPI yang paling mempengaruhi keterlambatan proyek. Membuat 4 macam scenario sesuai dengan contoh kasus yang diambil, kemudian mengolah dengan KPI sehingga didapatkan skenario yang paling memungkinkan untuk bisa dilakukan pada percepatan contoh kasus.

Keywords

kinerja proyek prediksi, pengambilan keputusan pendekatan sistem dinamik

Article Details

References

  1. H. A. Bassioni, A. D. F. Price, and T. M. Hassan, “Performance Measurement in Construction,” J. Manage. Eng., vol. 20, no. 2, pp. 42–50, Apr. 2004, doi: 10.1061/(ASCE)0742-597X(2004)20:2(42).
  2. N. Nassar and S. AbouRizk, “Practical Application for Integrated Performance Measurement of Construction Projects,” J. Manage. Eng., vol. 30, no. 6, p. 04014027, Nov. 2014, doi: 10.1061/(ASCE)ME.1943-5479.0000287.
  3. H. Leon, H. Osman, M. Georgy, and M. Elsaid, “System Dynamics Approach for Forecasting Performance of Construction Projects,” J. Manage. Eng., vol. 34, no. 1, p. 04017049, Jan. 2018, doi: 10.1061/(ASCE)ME.1943-5479.0000575.
  4. A. A. Gde Agung Yana, A. A. Diah Parami Dewi, and Y. K. Kayun Harefa, “FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA PROYEK DALAM PELAKSANAAN PROYEK KONSTRUKSI GEDUNG (STUDI KASUS: PROYEK PEMERINTAH KABUPATEN BADUNG).” Jurnal Spektran, Jul. 2020.
  5. M. Pastiarsa, Manajemen Proyek Konstruksi Bangunan Industri. Teknosain Yogyakarta, 2015.
  6. R. Takim and A. Akintoye, “PERFORMANCE INDICATORS FOR SUCCESSFUL CONSTRUCTION PROJECT PERFORMANCE”.
  7. S. M. Ahmed and R. Kangari, “Analysis of Client-Satisfaction Factors in Construction Industry,” J. Manage. Eng., vol. 11, no. 2, pp. 36–44, Mar. 1995, doi: 10.1061/(ASCE)0742-597X(1995)11:2(36).
  8. M. Raoufi and A. R. Fayek, “Framework for Identification of Factors Affecting Construction Crew Motivation and Performance,” J. Constr. Eng. Manage., vol. 144, no. 9, p. 04018080, Sep. 2018, doi: 10.1061/(ASCE)CO.1943-7862.0001543.
  9. X. Hu, J. Wang, L. He, and P. Wang, “Predictive Analysis of Construction Enterprises Influencing Factors Based on SEM Model,” in ICCREM 2017, Guangzhou, China: American Society of Civil Engineers, Nov. 2017, pp. 332–338. doi: 10.1061/9780784481066.035.
  10. P. Rashvand and M. Zaimi Abd Majid, “Critical Criteria on Client and Customer Satisfaction for the Issue of Performance Measurement,” J. Manage. Eng., vol. 30, no. 1, pp. 10–18, Jan. 2014, doi: 10.1061/(ASCE)ME.1943-5479.0000183.
  11. P. F. Kaming, P. O. Olomolaiye, G. D. Holt, and F. C. Harris, “Factors influencing construction time and cost overruns on high-rise projects in Indonesia,” Construction Management and Economics, vol. 15, no. 1, pp. 83–94, Jan. 1997, doi: 10.1080/014461997373132.
  12. B.-G. Hwang, S. R. Thomas, C. T. Haas, and C. H. Caldas, “Measuring the Impact of Rework on Construction Cost Performance,” J. Constr. Eng. Manage., vol. 135, no. 3, pp. 187–198, Mar. 2009, doi: 10.1061/(ASCE)0733-9364(2009)135:3(187).
  13. J. B. H. Yap, J. Rou Chong, M. Skitmore, and W. P. Lee, “Rework Causation that Undermines Safety Performance during Production in Construction,” J. Constr. Eng. Manage., vol. 146, no. 9, p. 04020106, Sep. 2020, doi: 10.1061/(ASCE)CO.1943-7862.0001902.
  14. A. R. Fayek, “Measuring and Classifying Construction Field Rework : A Pilot Study.” Construction Owners Association of Alberta (COAA) Field Rework Committee, 2023.
  15. J. W. Forrester, “Lessons from system dynamics modeling,” System Dynamics Review, vol. 3, no. 2, pp. 136–149, Jun. 1987, doi: 10.1002/sdr.4260030205.
  16. H. Mawengkang, “Analisis Keputusan Menggunakan Pendekatan Model Causal Loop Diagram (CLD) Model Dinamik untuk Perencanaan Wisata Syariah Berkelanjutan,” Int. J. Tourism Res., p. n/a-n/a, 2020, doi: 10.1002/jtr.741.
  17. G. A. S. K. Silva and B. N. F. Warnakulasooriya, “Criteria for Construction Project Success: A Literature Review,” SSRN Journal, 2016, doi: 10.2139/ssrn.2910305.
  18. “Decision Support System for Analyzing Key Performance Indicators in Construction Projects Management,” IJE, vol. 35, no. 5, pp. 865–874, 2022, doi: 10.5829/IJE.2022.35.05B.03.
  19. M. N. Omar and A. R. Fayek, “Modeling and evaluating construction project competencies and their relationship to project performance,” Automation in Construction, vol. 69, pp. 115–130, Sep. 2016, doi: 10.1016/j.autcon.2016.05.021.
  20. A. M. Tomioka and J. M. S. D. Neves, “Key performance indicators to improve the competitive dimensions of the construction company,” RSD, vol. 9, no. 5, p. e54953130, Mar. 2020, doi: 10.33448/rsd-v9i5.3130.
  21. M. P. N. Pharne and G. N. Kande, “APPLICATION OF BENCHMARKING METHOD IN THE CONSTRUCTION PROJECT TO IMPROVE PRODUCTIVITY,” vol. 4, no. 3, 2016.
  22. T. Haponava and S. Al-Jibouri, “Proposed System for Measuring Project Performance Using Process-Based Key Performance Indicators,” J. Manage. Eng., vol. 28, no. 2, pp. 140–149, Apr. 2012, doi: 10.1061/(ASCE)ME.1943-5479.0000078.
  23. A. Gunasti, “Faktor-Faktor yang Mempengaruhi Kinerja Manajer Proyek pada Proyek Konstruksi,” JMTS, vol. 13, no. 1, p. 31, Nov. 2015, doi: 10.22219/jmts.v13i1.2540.