Design Of Grouping Traditional Market Distribution Using Fuzzy Clustering And Design of Routing of Packaging Cooking Oil From Distribution Center To Traditional Market Using Traveling Salesperson Problem– Genetic Algorithm in Indonesia (Case- Jakarta)

Abstract

This paperpresents themodelling ofintelligentrouting of transportation of packaging cooking oil from the center to traditional market in the cluster in Indonesia, especially in Jakarta. Indonesia is the nation who have many island. every island have different population of people. Everyday, many people go to traditional market to buy main consumption products like palm oil etc. price of palm oil is very sensitive to increase when it lack at the market, so sustainable of present the palm oil at the market are very important. Focus of this research is to demonstrate how to optimize of routing distribution from distribution center to markets in the cluster. Optimum route hope can guarantee the availability of product and stock in the market to maintaining the price. The clustering is created by fuzzy clustering and the routing is created by Transportation Salesperson Problem (TSP) with Genetic Algorithm (GA) method.method. Which GA is a method for solving optimization problem that based on evolutionary theory in biology