RISK ANALYSIS FOR THE DEVELOPMENT OF XYZ RESIDENCE

  • Ardiantono Dewie Saktia Institut Teknologi Sepuluh Nopember
  • Pidekso Satrio Hestu Institut Teknologi Sepuluh Nopember
Abstract views: 126 , PDF downloads: 56
Keywords: Impact Matrix, Probability, Risk Analysis, Severity Index

Abstract

Population growth in Indonesia creates new challenges for the housing sector. Scarcity in Jakarta and high land prices make residents actively look for alternative housing options in neighboring areas such as Bogor. This causes increased competition between housing development companies, including the XYZ residence project. This research uses the severity index to analyze, evaluate, prioritize and suggest strategies for managing construction-related hazards in the xyz housing area project. From the research results it appears that in the temporal dimension of the XYZ residence construction project, 28 hazards have a very low probability of affecting the project schedule, 14 hazards have a low probability, 2 (two) hazards have a medium probability, 3 (three) hazards have a high probability, and 4 (four) danger has a very high probability. Likewise, the evaluation of the level of risk in the cost aspect of the xyz residence development project shows that 36 risks have a very low probability of influencing project costs, compared to 5 (five) low risks, five medium risks, 1 (one) high risk, and 4 (four) very high risks. For this reason, it is necessary to implement measures that impact the financial dimension.

Downloads

Download data is not yet available.

References

A. Kassem, M., Khoiry, M. A., & Hamzah, N. (2020). Using probability impact matrix (PIM) in analyzing risk factors affecting the success of oil and gas construction projects in Yemen. International Journal of Energy Sector Management, 14(3), 527–546. https://doi.org/10.1108/IJESM-03-2019-0011
Adaurhere, R. E., Musonda, I., & Okoro, C. S. (2021). Construction Contingency Determination: A Review of Processes and Techniques. In Advances in Science, Technology, and Innovation (pp. 271–277). Springer Nature. https://doi.org/10.1007/978-3-030-48465-1_45
Antony, J., Palsuk, P., Gupta, S., Mishra, D., & Barach, P. (2018). Six Sigma in healthcare: a systematic review of the literature. In International Journal of Quality and Reliability Management (Vol. 35, Issue 5, pp. 1075–1092). Emerald Group Publishing Ltd. https://doi.org/10.1108/IJQRM-02-2017-0027
Barraza de la Paz, J. V., Rodríguez-Picón, L. A., Morales-Rocha, V., & Torres-Argüelles, S. V. (2023). A Systematic Review of Risk Management Methodologies for Complex Organizations in Industry 4.0 and 5.0. In Systems (Vol. 11, Issue 5). MDPI. https://doi.org/10.3390/systems11050218
Bucay, M. A., Abrina, T. A., Gan, J., & Cosico, M. F. (2022). A Technical Analysis on the Manila Bay Dolomite Beach Reclamation Project. Philippine Journal of Public Policy: Interdisciplinary Development Perspectives, 2021. https://doi.org/10.54096/yogv6309
Ferreira de Araújo Lima, P., Marcelino-Sadaba, S., & Verbano, C. (2021). Successful implementation of project risk management in small and medium enterprises: a cross-case analysis. International Journal of Managing Projects in Business, 14(4), 1023–1045. https://doi.org/10.1108/IJMPB-06-2020-0203
Gachie, W. (2017). Project risk management: A review of an institutional project life cycle. Risk Governance and Control: Financial Markets and Institutions, 7(4–1), 163–173. https://doi.org/10.22495/rgc7i4c1art8
Gu, N. Y., Botteman, M. F., Ji, X., Bell, C. F., Carter, J. A., & van Hout, B. (2011). Mapping of the Insomnia Severity Index and other sleep measures to EuroQol EQ-5D health state utilities. Health and Quality of Life Outcomes, 9. https://doi.org/10.1186/1477-7525-9-119
Jedynak, P., & Bąk, S. (2021). Risk Management in Crisis: Winners and Losers during the COVID-19 Pandemic. In Risk Management in Crisis: Winners and Losers during the COVID-19 Pandemic. Taylor and Francis. https://doi.org/10.4324/9781003131366
Kuchta, D., Canonico, P., Capone, V., & Capaldo, G. (2023). Uncertainty in the Planning Phase of Public Projects—Its Scope, Consequences, and Possible Remedies. Administrative Sciences, 13(6). https://doi.org/10.3390/admsci13060145
Project Management Institute. (n.d.). A guide to the project management body of knowledge (6th ed.).
Project Management Institute. (2013). A guide to the project management body of knowledge (PMBOK® guide).
Satria, A. (2017). A FAILURE MODE AND EFFECT ANALYSIS ON WATER RECIPROCATING PUMP FOR DRILLING INDUSTRY. In Jurnal Ilmiah Informatika dan Komputer (Vol. 22, Issue 2).
Silva, G. A. S. K. (2016). Criteria for Construction Project Success: A Literature Review. https://ssrn.com/abstract=2910305Electroniccopyavailableat:https://ssrn.com/abstract=2910305Electroniccopyavailableat:https://ssrn.com/abstract=2910305
Woodruff, J. M. (2005). Consequence and likelihood in risk estimation: A matter of balance in UK health and safety risk assessment practice. Safety Science, 43(5–6), 345–353. https://doi.org/10.1016/j.ssci.2005.07.003
Zuniawan, A. (2020). A Systematic Literature Review of Failure Mode and Effect Analysis (FMEA) Implementation in Industries. In IJIEM (Indonesian Journal of Industrial Engineering & Management) (Vol. 1, Issue 2).

PlumX Metrics

Published
2024-04-30
How to Cite
Dewie Saktia , A., & Satrio Hestu , P. (2024). RISK ANALYSIS FOR THE DEVELOPMENT OF XYZ RESIDENCE. Eksis: Jurnal Riset Ekonomi Dan Bisnis, 18(2), 69 - 82. https://doi.org/10.26533/eksis.v18i2.1284

Most read articles by the same author(s)