Arief Witjaksono Primary Author Marimin Additional Author Machfud Additional Author Sri Rahardjo Additional Author

As a part of the Indonesia-National Logistics System, Jakarta International Container Terminal (JITC), facing a long dwell time (DT) which impacts to high yard occupancy ratio (YOR). This is happened because of the long necessary documents of clearance processing time, the limited yard provided, and the owners preferring for storing their goods in the terminal for cost reasons, etc. The objectives of this research are to design an early warning system (EWS) model to avoid YOR above the normal by using adaptive neuro fuzzy inference system (ANFIS); be found that EWS Model can use for prediction and simulation YOR in the future therefore simplify to manage of stacking yards and avoid losses. Another finding from data and empirical fact be found that k as a constanta influence YOR beside throughput (container import total pass to the terminal) and dwell time. Designing the inter-agency institutional collaboration to apply the EWS model by using interpretive Structural Modeling (ISM) with eight elements; showing the main constrain in the implementation of EWS is slow coordination among departements and stakeholder affected by the EWS progran are JICT and customs and formulating YOR above normal mitigation strategy be found is easy to be done. The primary data used are collected through the in-depth interviews and the focus group discussions with the multi-discipline experts. The secondary data are collected from JITC daily operations and from other supporting agencies. The proposed model is validated, verified and tested. It shows the promising results.