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<p>Hoya is one of the plants that has high economic value and various benefits, such as aesthetics and pharmacological potential. For this reason, Hoya plants are popular, especially in researchers and conservationist communities. However, the high diversity of Hoya species and its morphological similarities make the identification of Hoya very complex. This obstacle is exacerbated by the small number of botanists specializing in Hoya taxonomy. Therefore, a technology-based support system is needed to help identify Hoya types accurately. In this work, we aim to develop a web-based system to identify Hoya species. The developed system employs a rule-based approach based on Hoya’s morphological characteristics. The data used in this study consist of 206 Hoya plant specimens along with 44 morphological characters categorized into 139 categories. Our research results show that the developed system, RuHoya, can identify Hoya plants based on their morphological characteristics. RuHoya also provides information about Hoya plants, such as morphological characteristics, pests, enumeration, and collaborators. Black-box testing confirms that RuHoya works well in accordance with our objectives. RuHoya is expected to be not only an identification tool for Hoya lovers, but also a source of information to support Hoya plant conservation.</p>

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Ruhoya: a rule-based web system for morphological identification and information management of Hoya plants

  • 期刊论文

  • 发表日期：

    2025年10月25日

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  • Gibtha Fitri Laxmi,
  • Hafid Riyadi,
  • Siti Kania Kushadiani,
  • Sri Rahayu,
  • Iskandar Zulkarnaen Siregar,
  • Al Hafiz Akbar Maulana Siagian

摘要

Hoya is one of the plants that has high economic value and various benefits, such as aesthetics and pharmacological potential. For this reason, Hoya plants are popular, especially in researchers and conservationist communities. However, the high diversity of Hoya species and its morphological similarities make the identification of Hoya very complex. This obstacle is exacerbated by the small number of botanists specializing in Hoya taxonomy. Therefore, a technology-based support system is needed to help identify Hoya types accurately. In this work, we aim to develop a web-based system to identify Hoya species. The developed system employs a rule-based approach based on Hoya’s morphological characteristics. The data used in this study consist of 206 Hoya plant specimens along with 44 morphological characters categorized into 139 categories. Our research results show that the developed system, RuHoya, can identify Hoya plants based on their morphological characteristics. RuHoya also provides information about Hoya plants, such as morphological characteristics, pests, enumeration, and collaborators. Black-box testing confirms that RuHoya works well in accordance with our objectives. RuHoya is expected to be not only an identification tool for Hoya lovers, but also a source of information to support Hoya plant conservation.