| dc.description.abstract | Shifting bioenergy use to be a commercial fuel is an important thing for this moment. The fact said that not only conventional energy (fossil based energy) will be lost in around twenty years later, but also energy demand increases significantly that insist to find energy resource alternative to solve this phenomenon. The best energy resource alternative is biomass resource such as a palm oil based biomass. Technology, management, and supply chain issues are some of many useful research areas to keep bioenergy supply and its availability as a whole. The management of supply chain issue is the one of those issues in bioenergy field research. The classic problem in supply chain management, especially bioenergy supply chain management, is an optimum supply chain path search. In this paper we use ant colony algorithm as our main research contribution. This methodology is used to optimize supply chain path search. The result of this research analysis described by using Unified Modeling Language (UML) that consisted of activity diagram, use case diagram, class diagram, state chart diagram, sequence diagram, and collaboration diagram. We prepare some solution for the problem such as electronic mapping based supply chain route analysis, optimization of supply chain path searching and the best supply chain route search | id |
