The study examines the Apparent Source Time Function (ASTF) for four seismic stations (MRD, SDS1, URUN, and MAHB) in relation to the Khoy earthquake. By employing the method developed by (Plicka,  et al. 2022), we meticulously calculate the ASTFs to investigate the temporal distribution of seismic energy release during the earthquake. Our analysis reveals significant variations in ASTF duration across the different stations. Specifically, the MRD station exhibits a notably short ASTF duration of 5 seconds, whereas the URUN station shows a considerably longer ASTF duration of 18 seconds. The SDS1 and MAHB stations fall in between, with ASTF durations of 15 seconds and 12 seconds, respectively. These observed variations in ASTF durations likely indicate differences in fault properties and rupture dynamics at each station. The shorter ASTF at MRD may suggest a more abrupt energy release, while the longer ASTF at SDS1 could imply a more prolonged rupture process. The intermediate durations at URUN and MAHB further highlight the complexity and variability of seismic energy release mechanisms. Our findings contribute valuable insights into seismic hazard assessment and fault characterization in the Khoy region. By applying the ASTF calculation method to this specific case study, we demonstrate its utility in enhancing our understanding of earthquake dynamics. This innovative application underscores the importance of ASTF analysis in seismic studies and its potential to inform more accurate seismic hazard models. Furthermore, our research opens up new avenues for future investigations. We suggest that subsequent studies should focus on a broader range of seismic events and stations to validate and refine the ASTF method. Additionally, exploring the relationship between ASTF characteristics and other seismic parameters, such as fault slip and rupture velocity, could provide deeper insights into the underlying mechanisms of earthquake generation. In conclusion, this study not only advances our knowledge of the Khoy earthquake but also highlights the broader applicability of ASTF analysis in seismology. Our work underscores the need for continued research in this area to improve seismic hazard assessments and enhance our understanding of earthquake processes. By integrating ASTF analysis with other geophysical methods, we can develop a more comprehensive picture of seismic activity, ultimately contributing to better preparedness and mitigation strategies in earthquake-prone regions. This holistic approach will be crucial for advancing the field of seismology and ensuring the safety and resilience of communities affected by seismic events. The insights gained from this study can also be applied to other regions with similar seismic profiles, thereby broadening the impact and relevance of our findings.