![]() Searching transportation route in the implementation of our model has been conducted using cypher query. To validate our model, we execute a search query using the Cypher query to look for location with closer place to it.Ĭonclusion: Our data model was successfully developed and implemented. Our model consist of three graph node label namely Shelter, Angkot Stopper, and Closer Place. Result: We develop our data model in graph database schema and we implement the model using Neo4J graph database for validation purpose. Method: We create our model in oriented entity-relationship diagram (O-ERD) and map this O-ERD to the graph database schema. Objective: Proposes a database of multimodal transportation design using graph data model by taking Semarang as a case study. Several studies of multimodal traveler information system has been conducted, however the data model for multimodal transportation did not conceived in detail. Multimodal traveler information is then required to help passenger searching for a route. Apart from Bus Rapid Transit, another exist namely angkot or city transportation. To reach a specific location, people often use more than one public transportation mode. Background: Semarang has broad area that cannot be covered entirely by single transportation mode. ![]()
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