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Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
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Allamanda Modeling in Batik Pattern Generation by Using Modified Social Forces Model

Purba Daru Kusuma
Page: 8639-8644 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

Allamanda is one of popular decorative plants in Indonesia. This flowering plant can be founded in many house yards easily. Unfortunately, even Allamanda tree is popular, the implementation of this plant morphology into batik pattern is very rare. In this study, we develop Allamanda plant modeling, so that, it can be implemented into batik pattern. Rather than using well known Lindenmayer system, we uses modified social forces model as a basis. The social forces model is very common in modeling human walking pattern. In the other hand, the implementation of social forces model in developing plant growth model is very rare. So, developing plant growth model by using social forces model is very challenging. In this research, we use four forces: desired movement force, interaction force, repulsive force and attracting force. The parts of Allamanda plant that are modeled include: stem, flower, pedicel and leaf. We also combine the Allamanda Model with the modified traditional Parang pattern. Based on the test, the stem tends to grow as a straight line when the implemented force is the desired movement force only. When other forces are implemented, the stem tends to grow wavier. The increasing of the repulsive force weight makes the wavy intensity increases. In other side, the number of obstacles does not affect the wavy intensity. By implementing interaction force, the stem tends to grow wavier when it is close to other stems. When it is far from other stems, the stem tends to grow as a straight line.


How to cite this article:

Purba Daru Kusuma. Allamanda Modeling in Batik Pattern Generation by Using Modified Social Forces Model.
DOI: https://doi.org/10.36478/jeasci.2018.8639.8644
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.8639.8644