RISK MANAGEMENT ANALYSIS USING THE 5×5 RISK MATRIX METHOD (MIL-STD-882B): A CASE STUDY OF THE SLINGA KIRI IRRIGATION DEVELOPMENT PROJECT, PURBALINGGA REGENCY

Shasha Indah Permata Putri; Novi Andhi Setyo Purwono; Diyah Ayu Widayanti

doi:10.21009/jpensil.v15i3.66861

Authors

Shasha Indah Permata Putri Civil Engineering Study Program, Faculty of Engineering, Universitas Wijaya Kusuma, Jl. Raya Beji Karangsalam No. 25, Dusun III, Karangsalam Kidul, Kedungbanteng District, Banyumas Regency, Central Java, 533152, Indonesia
Novi Andhi Setyo Purwono Civil Engineering Study Program, Faculty of Science and Technology, Universitas Teknologi Yogyakarta, Jl. Glagahsari No. 63, D.I. Yogyakarta, 55164, Indonesia
Diyah Ayu Widayanti Civil Engineering Study Program, Faculty of Engineering, Universitas Wijaya Kusuma, Jl. Raya Beji Karangsalam No. 25, Dusun III, Karangsalam Kidul, Kedungbanteng District, Banyumas Regency, Central Java, 533152, Indonesia

DOI:

https://doi.org/10.21009/jpensil.v15i3.66861

Keywords:

Management, Risk Matrix, Construction Project, Project Risk Management, Risk Identification

Abstract

Project risk management involves a systematic approach to planning, identifying, analysing and responding to potential risks throughout project implementation. This study iaims to identify, evaluate and develop appropriate risk reduction strategies for the Slinga Kiri Irrigation Area project in Purbalingga Regency. In 2022, primary data were gathered during the construction phase by means of a quantitative method using structured questionnaires administered to the individuals taking part in the project. Data were analysed using the 5×5 Risk Matrix method (MIL-STD-882B) and the Importance Index, supported by IBM SPSS Statistics version 25 and Microsoft Excel. The results identified six main risk categories materials, equipment, human resources, contractor qualifications and experience, financial factors, and field management. The results show that project risk is influenced by six main categories: materials, equipment, human resources, contractor qualifications and experience, financial factors, and field management. A total of 28 risk indicators (93.33%) fall into the medium risk category with Importance Index values of 9 and 12, while 2 indicators (6.67%) fall into the high risk category with an Importance Index value of 16 namely X6.10 (unexpected conditions and events such as extreme weather), an external/environmental risk beyond the project's direct control, and X6.7 (work accidents resulting from non-compliance with occupational health and safety/K3 procedures), a procedural/compliance risk within the contractor's internal control. Therefore, different mitigation strategies are required: preventive-corrective measures through a K3LK plan for procedural risks and adaptive-contingency measures through BMKG weather monitoring and work-method adjustments for environmental risks.

References

Anthony Cox, L., Jr (2008), What's Wrong with Risk Matrices?. Risk Analysis, 28: 497-512. https://doi.org/10.1111/j.1539-6924.2008.01030.x

Aven, T. (2016). Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research, 253(1), 1–13. https://doi.org/10.1016/J.EJOR.2015.12.023

Banaitiene, N., & Banaitis, A. (2012). Risk Management in Construction Projects. In Risk Management - Current Issues and Challenges. InTech. https://doi.org/10.5772/51460

BBWSSerayuOpak. (2025, 07 Oktober). Pembangunan Irigasi Slinga Kiri untuk Perkuat Ketahanan Pangan di Purbalingga, Diakses pada 07 Oktober 2025), dari https://sda.pu.go.id/balai/bbwsserayuopak/berita/pembangunan-irigasi-slinga-kiri-untuk-perkuat-ketahanan-pangan-di-purbalingga

Boone, H. N., & Boone, D. A. (2012). Analyzing Likert Data. Journal of Extension, 50(2).

Chih-Pei, H. U., & Chang, Y.-Y. (2017). John W. Creswell, research design: Qualitative, quantitative, and mixed methods approaches.

Cnnindonesia.com. (2025, 17 Juni). KemenPU: Infrastruktur SDA Penting untuk Ketahanan Pangan Nasional, Diakses pada 17 Juni 2025, dari https://www.cnnindonesia.com/ekonomi/20250617092744-97-1240477/kemenpu-infrastruktur-sda-penting-untuk-ketahanan-pangan-nasional

Creswell, J. W. (2021). A concise introduction to mixed methods research. SAGE publications. https://doi.org/10.1016/j.brat.2023.104376

Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.

Demiss, B. A., & Elsaigh, W. A. (2024). Application of novel hybrid deep learning architectures combining convolutional neural networks (CNN) and recurrent neural networks (RNN): construction duration estimates prediction considering preconstruction uncertainties. Engineering Research Express, 6(3), 032102. https://doi.org/10.1088/2631-8695/ad6ca7

Derse, O., & Göçmen Polat, E. (2021). Application Of Integrated FTA And 5x5 Matrix for the Comprehensive Risk Evaluation of a Project-Based Enterprise. Harran Üniversitesi Mühendislik Dergisi, 6(3), 183-197. https://doi.org/10.46578/humder.989695

Fadilah, U. (2025, 12 Agustus). Mengenal Sistem Irigasi Pertanian: Jenis, Fungsi, dan Penerapannya di Lahan Pertanian, Diakses pada 12 Agustus 2025, dari https://www.mertani.co.id/id/post/mengenal-sistem-irigasi-pertanian-dan-penerapannya-1

Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics.

Fiorillo, G., & Ghosn, M. (2022). Risk-based life-cycle analysis of highway bridge networks under budget constraints. Structure and Infrastructure Engineering, 18(10–11), 1457–1471. https://doi.org/10.1080/15732479.2022.2059525

Gozali, A. F., Setiawan, J., & Nugraha, P. (2020). Survey Status Risiko Pada Tahap Pra-Kontruksi Dan Konstruksi Di Proyek Perumahan. Jurnal Dimensi Pratama Teknik Sipil, 9(1), 1-6.

Guo, S., Li, J., He, J., Luo, W., & Chen, B. (2022). A modified risk matrix method for behavioral risk evaluation in the construction industry. Journal of Asian Architecture and Building Engineering, 21(3), 1053–1066. https://doi.org/10.1080/13467581.2021.1905647

Hasan, N. A., Hidayat, A., & Amin, M. (2025). Risk Management Analysis In Spald-T Projects. Jurnal PenSil, 14(1), 20–29. https://doi.org/10.21009/jpensil.v14i1.47879

Hasiah, H., Natsir, S., & Arsyad, M. (2016). Desain Model Matriks Penilaian Risiko (Risk Assessment) dalam Perencanaan Audit Umum (Studi pada Satuan Pengawas Internal (SPI), Bagian Keuangan dan Bagian Pengadaan Barang dan Jasa Politeknik Negeri Ujung Pandang). Jurnal Informasi Akuntansi dan Keuangan (INFAK), 42-60.

Huang, T. S., Shin-Jung Lee, S., Lee, C. C., Chen, C. Y., Chen, F. C., Chen, B. C., Sy, C. L., & Wu, K. S. (2017). Evaluation of a matrix-assisted laser desorption ionization-time of flight mass spectrometry assisted, selective broth method to screen for vancomycin-resistant enterococci in patients at high risk. PLoS ONE, 12(6). https://doi.org/10.1371/journal.pone.0179455

Hubbard, D. W., & Seiersen, R. (2023). How to measure anything in cybersecurity risk (p. 304). Hoboken, New Jersey: Wiley.

Ji, T., Liu, J.-W., & Li, Q.-F. (2022). Safety Risk Evaluation of Large and Complex Bridges during Construction Based on the Delphi‐Improved FAHP‐Factor Analysis Method. Advances in Civil Engineering, 2022(1), 5397032. https://doi.org/10.1155/2022/5397032

Kangari, R. (1995). Risk management perceptions and trends of U.S. construction. Journal of Construction Engineering and Management.

Krisper, M. (2021). Problems with Risk Matrices Using Ordinal Scales. Graz University of Technology, Graz, Austria

Labombang, M. (2011). Manajemen Risiko Dalam Proyek Konstruksi.

Likert, R. (1932). A Technique for the Measurement of Attitudes. Archives of Psychology.

Luo, T., Wu, C., & Duan, L. (2018). Fishbone diagram and risk matrix analysis method and its application in safety assessment of natural gas spherical tank. Journal of Cleaner Production, 174, 296–304. https://doi.org/10.1016/j.jclepro.2017.10.334

Mahyuddin, et al. Manajemen Proyek Konstruksi. Jakarta: Penerbit Yayasan Kita Menulis, 2023

Marito Harahap, I., Purwandito, M., Samudra Jl, U., Syarief Thayeb, P., Lama, L., & Langsa, K. (2022). Melalui Metode Hiradc dan Metode JSA Pada Proyek Lanjutan Pembangunan Rumah Sakit Regional Langsa. In Jurnal Teknik Sipil (Vol. 17, Issue 2).

Nabila, F., Prihantono, P., & Anisah, A. (2021). Identifikasi Bahaya dan Penilaian Risiko Pada Proses Pekerjaan Pemasangan Atap Sandwich Panel. Jurnal PenSil, 10(3), 141–147. https://doi.org/10.21009/jpensil.v10i3.23242

Pambudi, S. (2025). Peran Konservasi Sumber Daya Air dalam Pembangunan Ekonomi Sosial dan Lingkungan Berkelanjutan.

PMI. (2017). A Guide to the Project Management Body of Knowledge (PMBOK Guide) – 6th Edition

Rodriguez, J. (2016). Step 2: risk assessment and impact assessment. CAPA in the Pharmaceutical and Biotech Industries, 47–57. https://doi.org/10.1016/B978-1-907568-58-9.00005-9

Rolobessy, A. R. P., Djakfar, L., & Negara, K. P. (2025). Assessment Of Schedule Uncertainty And Risk Mitigation In Accelerated Bridge Construction Using Pert. Jurnal PenSil, 14(3), 440–455. https://doi.org/10.21009/jpensil.v14i3.59011

Roselidyawaty, N. (2024). Likert Measurement Scale in Education and Social Sciences: Explored and Explained. EDUCATUM Journal of Social Sciences, (10), 77–88. https://doi.org/10.37134/ejoss.vol10.1.7.2024

SDA PU. (2025). Pembangunan Irigrasi Slinga Kiri Untuk Perkuatan Ketahanan Pangan Di Purbalingga. https://sda.pu.go.id/balai/bbwsserayuopak/beritas/pembangunan-irigasi-slinga-kiri-untuk-perkuat-ketahanan-pangan-di-purbalingga

Sols, A. (2018). A Comprehensive Approach to Dynamic Project Risk Management. Engineering Management Journal, 30(2), 128–140. https://doi.org/10.1080/10429247.2018.1450030

Taherdoost, H. (2021). Data Collection Methods and Tools for Research; A Step-by-Step Guide to Choose Data Collection Technique for Academic and Business Research Projects. In International Journal of Academic Research in Management (IJARM) (Vol. 10, Issue 1). www.elvedit.com

USA Department of Defense, “Military Standard MIL-STD-882c System Safety Program Requirements,” 1979.

Yulian, I., & Mursadin, A. (2023). Infrastructure Asset Management Study At PDAM Tanah Laut Regency Risk-Based (Vol. 7). www.techniumscience.com

Zhu, X.-X., & Xiao, C.-C. (2017). A New Method Using Mean Value Matrix for Risk Types Prediction of Human Papillomaviruses. http://www.uniprot.org/