Enhancing Risk Management in the SPALD Project

Authors

  • Nining Ardiyanti Hasan INDONESIA
  • Acep Hidayat INDONESIA
  • Mawardi Amin INDONESIA

DOI:

https://doi.org/10.32832/astonjadro.v14i1.16447

Keywords:

SPALD Project; risk; identification; management; effectiveness; correlation; regression analysis.

Abstract

The SPALD Project is currently undergoing a survey phase to gather data on perceptions and experiences related to risks. Data analysis has been conducted using statistical methods to explore the relationship between risk identification and risk management effectiveness in the context of the SPALD project. The analysis results indicate a significant positive correlation between risk identification and risk management effectiveness, with a correlation coefficient of 0.75 (p < 0.01). Regression analysis indicates that the risk identification variable significantly predicts risk management effectiveness (F(1, 123) = 64.32, p < 0.001), with a coefficient of determination (R squared) of 0.52. These findings affirm that enhancing the risk identification process meticulously and comprehensively can enhance risk management effectiveness in the SPALD project in DKI Jakarta. Recommendations for this project include initial risk identification, the use of adaptive risk management systems, implementation of analysis-based mitigation strategies, and team awareness enhancement. These recommendations aim to enhance risk management effectiveness, achieve project objectives, and mitigate potential negative impacts.

Author Biographies

Nining Ardiyanti Hasan, INDONESIA

Civil Engineering Department, Universitas Mercu Buana, Jakarta

Acep Hidayat, INDONESIA

Civil Engineering Department, Universitas Mercu Buana, Jakarta

Mawardi Amin, INDONESIA

Civil Engineering Department, Universitas Mercu Buana, Jakarta

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Published

2025-01-02

How to Cite

Hasan, N. A., Hidayat, A., & Amin, M. (2025). Enhancing Risk Management in the SPALD Project. ASTONJADRO, 14(1), 166–173. https://doi.org/10.32832/astonjadro.v14i1.16447

Issue

Section

Articles