<![CDATA[Timely distribution of Palm Kernel (PK) is critical for maintaining Free Fatty Acid (FFA) levels and supply chain stability, yet logistical inefficiencies persist in the Indonesian palm oil sector. This study empirically investigates the determinants of shipment delays within the trucking logistics framework of a major Palm Oil Mill in Central Kalimantan from 2022 to 2024. Utilizing a mixed-methods approach, the research integrates historical shipment data (N=119), field observations, and linear regression analysis to evaluate six potential delay factors. The findings reveal a 23.5% delay rate over the three-year period, with 'Long Holidays' (religious festivals) and 'Weather/Road Conditions' identified as the most significant predictors of lateness, particularly in 2024 where holidays showed a dominant regression coefficient (β=0.962). Unlike previous studies focusing solely on infrastructure, this research highlights a shift toward seasonal operational constraints and transporter performance. The study implies that technical fleet upgrades are insufficient without adaptive scheduling strategies. Consequently, implementing predictive logistics planning around seasonal events and real-time infrastructure monitoring is recommended to mitigate delays, offering a practical framework for enhancing supply chain resilience in the tropical agricultural industry.]]>
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