Classification of Tropical Rain Forest East Kalimantan Using Image Processing and Backpropagation Neural Network Algorithm
Masna Wati1, Novianti Puspitasari2, Herman Santoso Pakpahan3, Hario Jati Setyadi4, Trias Brata Yudhana Mahmuddin5
1Masna Wati, Department of Information and Communication Technology, Informatics Engineering Study Program, Mulawarman University, Samarinda, Indonesia.
2Novianti Puspitasari, Department of Information and Communication Technology, Informatics Engineering Study Program, Mulawarman University, Samarinda, Indonesia.
3Herman Santoso Pakpahan, Department of Information and Communication Technology, Informatics Engineering Study Program, Mulawarman University, Samarinda, Indonesia.
4Hario Jati Setyadi, Department of Information and Communication Technology, Informatics Engineering Study Program, Mulawarman University, Samarinda, Indonesia.
5Trias Brata Yudhana Mahmuddin, Department of Information and Communication Technology, Informatics Engineering Study Program, Mulawarman University, Samarinda, Indonesia.
Manuscript received on 16 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 2586-2589 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B13100982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1310.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Tropical Rain Forest located in East Kalimantan has a high level of biodiversity, with a high level of biodiversity in east kalimantan then it needs a method to classify the existing plants there. In the research, the researchers tried to classify 5 plants found in tropical rainforests, namely Shorea Balangeran, Dryobalanopsbeccarii Dyer, Eusideroxylonzwageri, Duriokutejensis, Cerberamang has. Classification is done by using backpropagation neural network algorithm combined with image processing, where the image used is the image of plant leaf. The result of this research is the classification of 5 species of this plant with precision value above 90% in order to become a supporter of botanical decision in determining the type of plant and become alternative reference to classify plants in tropical rain forest area.
Keywords: Neural Network; Image Processing; Plants; East Kalimantan; Tropical Rain Forests.
Scope of the Article: Classification