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Analisis Statistika Keandalan Struktural Dalam Teknik Sipil Zebua, Dermawan; Mendrofa, Putra Sudi Selamat; Telaumbanua, Frans Tiven; Mendrofa, Rifki Wahyudi; Laoli, Putra Jaya
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 1 No. 1 (2024): IDENTIK - Juli
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v1i1.241

Abstract

Structural reliability statistical analysis is an essential approach in civil engineering to assess a structure's ability to maintain its function and safety during its service life, despite uncertainties in materials, loads, and environmental conditions. This study aims to explore the application of statistical methods in reliability evaluation, which includes probabilistic analysis of uncertain parameters and failure probability calculations. This approach involves the use of probability distribution theory, Monte Carlo simulations, and other numerical methods to estimate the reliability level of a structure. The results of the analysis provide insights into how variability in materials and loads can affect the stability of structures, and offer a basis for decision-making in the design and maintenance of civil structures. Thus, this reliability analysis helps engineers design safer, more efficient, and sustainable structures while minimizing the risk of failure that could impact public safety and cause economic losses.
Analisis Persepsi Masyarakat Terhadap Risiko Longsor Zebua, Amanda Syahfira; Zalukhu, Alfret Eliasman; Laoli, Putra Jaya; Laia, Bimawijaya
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 2 (2026): IDENTIK - Maret
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i2.1363

Abstract

Landslides are one of the major hazards in areas with hilly topography and high rainfall, such as Nias Island. Landslide risk is influenced not only by physical environmental factors but also by community perceptions of potential hazards. This study aims to analyze community perceptions of landslide risk in Nias and identify the factors that influence these perceptions. The research employs a quantitative approach with data collection techniques through questionnaires and interviews involving 120 respondents selected randomly from landslide-prone areas. Data analysis was conducted using descriptive and inferential statistics to determine perception levels and relationships between variables. The results indicate that community perception is at a moderate level, with education, experience, and access to information significantly influencing perception levels. Additionally, local wisdom plays an important role in supporting disaster mitigation efforts. Therefore, it is necessary to enhance education, socialization, and community involvement in community-based mitigation programs to improve preparedness for landslide risks in Nias.