DAMPAK KEPADATAN LALU LINTAS TERHADAP KELAYAKAN PEMBANGUAN SPBU DENGAN GIS

Wahyudi, Ageng Satriya and BASOFI, ARIF (2011) DAMPAK KEPADATAN LALU LINTAS TERHADAP KELAYAKAN PEMBANGUAN SPBU DENGAN GIS. EEPIS Final Project.

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Abstract

Nowadays many Gas Station business grow in the big city especially at Sidoarjo. Along with many Gas Station built which has established, it makes a lot of competition to attract the consumer. One of the factors is the location of its branch which is strategic. Sometimes business owners paying less attention to the factors supporting it so that the existing gas station traffic impacts of congestion. Geographic Information Systems (GIS) is an information system capable of visualizing these supporting factors to be known and analyzed, while culstering is the process of classifying objects based on information obtained from the data that describes the relationship between objects in principle to maximize the similarity among members of one class and minimizing the similarity between the class / cluster. K-Means algorithm is used to classify an object that has a similarity (grouping process called clustering) on the basis of K clusters, where K is a positive integer. Aim to find clusters of quality within a reasonable time. The Criteria that can be used include the number of inhabitants, level of traffic density, type of road at a gas station in the area. By visualizing the position of distributing data on the actual condition and results of using GIS and added recommendations of K-Means method to determine into which group these stations are located. Keyword: Geographic Information Systems, traffic density, K-Means Clustering, the location of Gas Stations.

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