Authors :
Muhammad Ilham Ramadhan; Irfan Prasetia
Volume/Issue :
Volume 10 - 2025, Issue 5 - May
Google Scholar :
https://tinyurl.com/5n7zpyms
DOI :
https://doi.org/10.38124/ijisrt/25may1182
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The South Kalimantan Province saw a very high number of RTLH in 2021 as a result of floods that impacted 11
of the 13 districts and cities in the province. Additionally, the main justification for initiating the housing repair program,
particularly for flood catastrophe victims, was the Minimum Service Standards (SPM) for Basic Services, which the
government is required to offer to all citizens. Thus, the purpose of this study is to evaluate the main risk variables that
must be taken into account and develop risk management plans for the House Rehabilitation Program for Flood Disaster
Victims in the Province of South Kalimantan. Interviews, observations, and surveys using questionnaires provide the data
for this study's analysis. Purposive sampling was used in the selection of the responders. Materials, labor, administration
and finance, the physical and environmental characteristics of the work site, social conditions and community
involvement, communication and coordination, and 28 other categories make up the variables employed. Prior to
calculating the risk level, the analysis entails risk assessment using probability and impact measurements as well as the
severity index technique. Administrative, technical, and environmental factors are the most common factors, according to
the research findings. These factors include medium-risk items like: delays in material delivery (R1), lack of labor (R7),
changes in the Decree on the determination of aid recipients (R12), untimely payments (R14), delays in the creation of
beneficiary savings books (R15), server disruptions in the aid disbursement application (R16), short program contracts
(R18), weather (R19), hard-to-reach locations (R21), and recipients not being present (R28). To reduce the impact of these
risks, more careful planning, improved digital system integration, and intense cross-sector collaboration are therefore
necessary.
Keywords :
Mitigation, Dominant Risk, RTLH, Risk Analysis.
References :
- Hillson, D. 2002. “Extending the Risk Process to Manage Opportunities”. International Journal of Project Management, 20, 235-240.
- Mutiara, Nafa Koes. 2024. “Analisis Risiko pada Pelaksanaan Proyek Pembangunan Pusat Kuliner Stasiun Street Food Bukittinggi”. Skripsi. Program Studi Teknik Sipil. Fakultas Teknik. Universitas Muhammadiyah Sumatra Barat.
- Singarimbun, Masri dan Effendi, Sofian. 1989. “Metode Penelitian Survey”. Jakarta : LP3ES.
- Undang-Undang Dasar Republik Indonesia (UUD RI) tahun 1945. Pasal 28 H ayat (1).
- Undang-Undang Republik Indonesia Nomor 1 Tahun 2011 tentang Perumahan dan Kawasan Permukiman (Lembaran Negara Republik Indonesia Tahun 2011 Nomor 7, Tambahan Lembaran Negara Nomor 5188).
6. Undang-Undang Republik Indonesia Nomor 39 tahun 1999 tentang Hak Asasi Manusia (HAM). Pasal 40
The South Kalimantan Province saw a very high number of RTLH in 2021 as a result of floods that impacted 11
of the 13 districts and cities in the province. Additionally, the main justification for initiating the housing repair program,
particularly for flood catastrophe victims, was the Minimum Service Standards (SPM) for Basic Services, which the
government is required to offer to all citizens. Thus, the purpose of this study is to evaluate the main risk variables that
must be taken into account and develop risk management plans for the House Rehabilitation Program for Flood Disaster
Victims in the Province of South Kalimantan. Interviews, observations, and surveys using questionnaires provide the data
for this study's analysis. Purposive sampling was used in the selection of the responders. Materials, labor, administration
and finance, the physical and environmental characteristics of the work site, social conditions and community
involvement, communication and coordination, and 28 other categories make up the variables employed. Prior to
calculating the risk level, the analysis entails risk assessment using probability and impact measurements as well as the
severity index technique. Administrative, technical, and environmental factors are the most common factors, according to
the research findings. These factors include medium-risk items like: delays in material delivery (R1), lack of labor (R7),
changes in the Decree on the determination of aid recipients (R12), untimely payments (R14), delays in the creation of
beneficiary savings books (R15), server disruptions in the aid disbursement application (R16), short program contracts
(R18), weather (R19), hard-to-reach locations (R21), and recipients not being present (R28). To reduce the impact of these
risks, more careful planning, improved digital system integration, and intense cross-sector collaboration are therefore
necessary.
Keywords :
Mitigation, Dominant Risk, RTLH, Risk Analysis.
