Resilience in the face of delays in the distribution of humanitarian logistics is a crucial
aspect in post-disaster response. This study aims to analyze the factors that affect the
resilience of disaster victims in the context of logistics delays using the Partial Least
Squares Structural Equation Modeling (PLS-SEM) approach. This research model
adopts three main constructs, namely Sense of Mastery (SoM), Sense of Relatedness
(SoR), and Emotional Reactivity (ER), which are assumed to contribute to individual
resilience (RES). Data was collected through a questionnaire-based survey of
individuals who had experienced delays in the distribution of humanitarian aid. The
results of the analysis show that SoM and SoR have a significant positive influence on
resilience. In contrast, ER has a negative relationship with RES, which means that the
higher a person's level of emotional reactivity, the lower their level of resilience in the
face of delays in help. In the initial model, there are several indicators showing low
outer loading values so they are excluded from the final model, because they do not
contribute significantly to other variables. After refining the model, the reliability
results show that the remaining constructs have good validity and reliability values.
Strong R-square values for all endogenous variables (SoM = 0.962, SoR = 0.894, ER
= 0.981, RES = 0.944) confirm that the model has high predictive ability in explaining
resilience in the context of delays in the distribution of human logistics. The results of
this study can be the basis for policymakers and stakeholders in developing a more
optimal aid distribution system, as well as mitigation strategies that can increase the
resilience of disaster victims in facing future logistical challenges