IJCATR Volume 5 Issue 5

Forest Area Estimation in Kutai Nasional Park of East Kalimantan Using Computer System Aplication based Genetic Algorithm-Support Vector Machine

Lapu Tombilayuk
10.7753/IJCATR0505.1005
keywords : GA-SVM methods, UML, Borland Delphi, MySQL database, white box testing.

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The paper presents design of computer system application for the forest area estimation using the combination of genetic algorithm (GA) and support vector machine SVM) methods in Kutai National park of East Borneo. The considering variables such as reboization concerning natural green, forest fire, encroachment and illegal logging activities are the basic data for our proposed design. In the development of design computer system application, the Unified Modeling Language is adopted with the use case, activity diagrams and sequence diagrams are systematically followed in order to keep the purpose of design on track. The supporting instrument for this research is the language programming of Borland Delphi 7 and MySQL database. The accuracy of area estimation result is compared with the actual data using mean absolute percentage error (MAPE).
@artical{l552016ijcatr05051005,
Title = "Forest Area Estimation in Kutai Nasional Park of East Kalimantan Using Computer System Aplication based Genetic Algorithm-Support Vector Machine",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="5",
Pages ="253 - 259",
Year = "2016",
Authors ="Lapu Tombilayuk"}
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