Evaluasi Metode Pengendalian Perubahan terhadap Perluasan Ruang Lingkup dan Pembengkakan Biaya
DOI:
https://doi.org/10.47134/jacis.v6i1.135Keywords:
pengendali perubahan, perluasan ruang lingkup, pembengkakan biayaAbstract
Kegagalan proyek yang disebabkan oleh perluasan ruang lingkup dan pembengkakan biaya seringkali berasal dari manajemen perubahan yang lemah. Studi ini bertujuan untuk mengevaluasi secara empiris perbedaan kinerja antara dua pendekatan pengendalian perubahan: Strict Change Control (SCC), yang bersifat formal dan birokratis, dan Lightweight Change (LC), yang fleksibel dan adaptif. Menggunakan metode eksperimental berbasis simulasi pada 50 proyek sintetis, studi ini menilai dampak kedua kebijakan tersebut terhadap indikator kinerja proyek utama, yaitu kelebihan biaya dan perluasan ruang lingkup. Data set dirancang dalam kondisi terkontrol (ceteris paribus) sehingga perbedaan hasil dapat dikaitkan sepenuhnya dengan kebijakan perubahan. Hasil simulasi menunjukkan bahwa metode SCC memiliki rata-rata kelebihan biaya sebesar 3,85%, yang jauh lebih rendah dibandingkan dengan LC sebesar 7,92%. Selain itu, volume permintaan perubahan dalam LC hampir dua kali lipat dibandingkan SCC, yang menunjukkan risiko lebih tinggi terhadap perluasan ruang lingkup akibat fleksibilitas tanpa pengawasan kumulatif. Temuan ini menekankan pentingnya mekanisme pengendalian perubahan yang ketat untuk menjaga stabilitas biaya dan ruang lingkup proyek. Namun, pendekatan LC tetap relevan untuk proyek inovatif dengan ketidakpastian tinggi. Oleh karena itu, strategi hibrida yang menggabungkan kelincahan LC dan disiplin SCC direkomendasikan untuk keseimbangan optimal antara adaptabilitas dan stabilitas
References
[1] D. V. Neta and E. R. Neiva, “Relationship between Change Management Practices and the Success of Organizational Projects,” BBR, vol. 22, pp. 1–22, 2022, doi: 10.15728/bbr.2023.1540.en. DOI: https://doi.org/10.15728/bbr.2023.1540.en
[2] M. A. ElAlem, I. M. Mahdi, H. A. Mohamadien, and S. Hosny, “Forecasting Scope Creep in Egyptian Construction Projects: An Evaluation Using Artificial Neural Network (ANN) and Random Forest Models,” International Journal of Construction Management, pp. 1–20, 2025, doi: 10.1080/15623599.2025.2502788. DOI: https://doi.org/10.1080/15623599.2025.2502788
[3] A. A. Nabet, W. M. Arandah, and M. A. Said, “Quantitative Assessment for Scope Creep Impact on Time and Cost of Large-Scale Construction Projects in Egypt.,” Engineering Research Journal (Shoubra), vol. 53, no. 3, pp. 61–67, 2024, doi: 10.21608/erjsh.2024.265234.1278. DOI: https://doi.org/10.21608/erjsh.2024.265234.1278
[4] A. M. Alkarbi, M. M. Ajmal, and A. A. Salameh, “Critical Factors to Overcome Project Scope Creep in the Oil and Gas Industry: Analytic Hierarchy Process Approach,” International Journal of Service Science, Management, Engineering, and Technology, vol. 13, no. 1, pp. 1–21, 2022, doi: 10.4018/IJSSMET.298674. DOI: https://doi.org/10.4018/IJSSMET.298674
[5] F. Aizaz, S. U. R. Khan, J. A. Khan, Inayat-Ur-Rehman, and A. Akhunzada, “An Empirical Investigation of Factors Causing Scope Creep in Agile Global Software Development Context: A Conceptual Model for Project Managers,” IEEE Access, vol. 9, pp. 109166–109195, 2021, doi: 10.1109/ACCESS.2021.3100779. DOI: https://doi.org/10.1109/ACCESS.2021.3100779
[6] M. A. Karim, T. S. Ong, S. H. Ng, H. Muhammad, and N. A. Ali, “Organizational Aspects and Practices for Enhancing Organizational Project Management Maturity,” Sustainability, vol. 14, no. 9, pp. 5113, 2022, doi: 10.3390/su14095113. DOI: https://doi.org/10.3390/su14095113
[7] A. Stasis, J. Whyte, and R. Dentten, “A Critical Examination of Change Control Processes,” Procedia CIRP, vol. 11, pp. 177–182, 2013, doi: 10.1016/j.procir.2013.07.053. DOI: https://doi.org/10.1016/j.procir.2013.07.053
[8] P. R. M. D. Andrade, A. B. Albuquerque, and W. Teófilo, “Change Management: Implementation and Benefits of The Change Control in the Information Technology Environment,” IJAIT, vol. 6, no. 1, pp. 23–33, 2016, doi: 10.5121/ijait.2016.6102. DOI: https://doi.org/10.5121/ijait.2016.6102
[9] S. Irfan, J. Ali, I. Hidayat-ur-Rehman, M. G. Khwaja, J. Rosak-Szyrocka, and A. Kovacs, “Expediting Time to Market: Evaluating the Effects of Change Control Board Performance in Emerging Markets,” Sustainability, vol. 15, no. 22, pp. 16085, 2023, doi: 10.3390/su152216085. DOI: https://doi.org/10.3390/su152216085
[10] D. Ciric, B. Lalic, D. Gracanin, N. Tasic, M. Delic, and N. Medic, “Agile vs. Traditional Approach in Project Management: Strategies, Challenges and Reasons to Introduce Agile,” Procedia Manufacturing, vol. 39, pp. 1407–1414, 2019, doi: 10.1016/j.promfg.2020.01.314. DOI: https://doi.org/10.1016/j.promfg.2020.01.314
[11] N. Koulecar and B. Ghimire, “Agile Requirement Change Management Model for Global Software Development,” 2024, arXiv: arXiv:2402.14595. doi: 10.48550/arXiv.2402.14595.
[12] T. Thesing, C. Feldmann, and M. Burchardt, “Agile versus Waterfall Project Management: Decision Model for Selecting the Appropriate Approach to a Project,” Procedia Computer Science, vol. 181, pp. 746–756, 2021, doi: 10.1016/j.procs.2021.01.227. DOI: https://doi.org/10.1016/j.procs.2021.01.227
[13] A. R. Pratama R, L. Djakfar, and K. P. Negara, “Monte Carlo Mathematical Model Simulation: An Evaluation of The Probability of Construction Project Acceleration,” J. Multidiscip. Appl. Nat. Sci., vol. 5, no. 2, pp. 644–657, 2025, doi: 10.47352/jmans.2774-3047.269. DOI: https://doi.org/10.47352/jmans.2774-3047.269
[14] R. M. Iqbalvas and H. Purwanto, “Risk Analysis of Investment Costs in PPP Projects Using Monte Carlo Simulation,” LOGIC, vol. 22, no. 1, pp. 13–21, 2022, doi: 10.31940/logic.v22i1.13-21. DOI: https://doi.org/10.31940/logic.v22i1.13-21
[15] T. Sorbi, V. Getuli, P. Capone, and F. P. Rahimian, “Agent-based simulation framework for enhanced construction site risk estimation and safety management,” ITcon, vol. 29, pp. 1219–1238, 2024, doi: 10.36680/j.itcon.2024.054. DOI: https://doi.org/10.36680/j.itcon.2024.054
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Copyright (c) 2025 Ahmad Ghozi Waridi, Muhammad Haikal Fikri, Muhammad Ainul Yaqin
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