Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/58939
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dc.contributor.authorMuhammad Nurrohim, Dafik, Arif Fatahillah, Moch. Avel Romanza P, Susanto-
dc.date.accessioned2014-08-17T03:40:11Z-
dc.date.available2014-08-17T03:40:11Z-
dc.date.issued2014-06-09-
dc.identifier.issnABSTRACT BOOK (Working Paper)-
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/58939-
dc.descriptionYEAR/VOLUME/NUMBER/PAGE:2014/June 7-9/32en_US
dc.description.abstractCoffee bean is one of the Indonesia major export commodity. Based on the data from the 2012, Indonesia was ranked at third biggest coffee beans exporter in the world, after Vietnam and Brazil. A coffee land expansion have been done to increase the productivity of coffee beans, however it is not so effective. One of the factors that affect the productivity is a crops planting pattern. A good crops planting pattern will make a good air circulation and it will finally affect to the productivity of coffee beans. We will use a finite volume method to analyze the air flow of coffee plantation based on the soil roughness level, crops planting pattern of the triangular grid and shackle of wheel graphs. The simulation process is carried out by using MATLAB and FLUENT softwares. The result shows that the crops planting pattern of triangular grid and shackle of wheel graphs gives a better air circulation process in the coffee bean plantation.en_US
dc.description.sponsorshipDP2M Dikti 2014en_US
dc.language.isoenen_US
dc.publisherInaCombS (Indonesian Combinatorials Society), Universitas Islam Malangen_US
dc.relation.ispartofseriesInternational Workshop on Graph Masters and Seminar on Mathematics Education and Graph Theory;4-
dc.subjectCoffee Plants, Air Flow, Soil Roughness Level, Triangular grid graph, Finite Volume Method.en_US
dc.titleThe Air Flow Analysis of Coffee Plantation Based on Crops Planting Pattern of the Triangular Grid and Shackle of Wheel Graphs by Using a Finite Volume Methoden_US
dc.typeWorking Paperen_US
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