Published: 2019-06-30

Mengidentifikasi Tanaman Beracun pada Pola Daun dengan Jaringan Syaraf Tiruan Learning Vector Quantification

DOI: 10.35870/jtik.v3i1.47

Muhammad Jurnalies Habibie
  • Muhammad Jurnalies Habibie: Trilogi University , Indonesia . image/svg+xml
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Abstract

Technology nowadays is starting to go very fast, so that all people can use it. Toxic plants are very dangerous if consumed. Therefore to avoid undesirable events, an introduction to the community is needed to find out which plants are poisonous. Plants have many different types to recognize poisonous plants can be seen from the recognition of leaf patterns in these plants. For this reason, in order to determine the use of Learning Vector Quantification artificial neural networks. In this study, the use of input photos obtained from the camera. Photos will be processed later to extract the characteristics. Next, the process of pattern recognition can get the features in the photo. So that later it gets its characteristics. then the classification process uses the Learning Vector Quantification artificial neural network method. This research was conducted to be able to distinguish poisonous plants from those that are not. Which later the data is collected for grouping in accordance with the same data, so that information can be set about the plant.

Keywords

The plant is poisonous ; pattern recognition ; Learning Vector Quantification

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Habibie, M. J. (2019). Mengidentifikasi Tanaman Beracun pada Pola Daun dengan Jaringan Syaraf Tiruan Learning Vector Quantification. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 3(1), 7-12. https://doi.org/10.35870/jtik.v3i1.47
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 3 No. 1 (2019)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2019

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