<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "IMPLEMENTATION OF AI SPEECH-TO-TEXT \r\nIN MEDICINAL PLANT SEARCH \r\nAPPLICATIONS"^^ . "IMPLEMENTATION OF AI SPEECH-TO-TEXT \r\nIN MEDICINAL PLANT SEARCH \r\nAPPLICATIONS\r\nM Adam zakaria1\r\n, Herfina 2\r\n, Halimah Tussa’diah 3*\r\nStudy Program Computer Science, Faculty of Mathematics and Natural Science,\r\nUniversity Bogor, West Java, 16143, Indonesia\r\nDepartment of Computer Science, Faculty of Mathematics and Natural Science, Pakuan\r\nUniversity, Bogor, West Java, 16143, Indonesia\r\nDepartment of Mathematical Sciences, Faculty ofScience,\r\nAbstract\r\nAbstract This study aims to develop an artificial intelligence (AI)-based application that \r\nhelps users search for information about medicinal plants through voice, image, and text \r\ninputs. Indonesia is known to have more than 30,000 plant species, of which about 9,600 \r\nhave potential medicinal properties. However, much of the traditional knowledge \r\nsurrounding these plants remains undigitized and difficult to access. The AI Speech-to-Text \r\n(STT) technology was selected because it can convert human speech into text that can be \r\nprocessed automatically for plant information retrieval. The system integrates STT and \r\nimage recognition services through an Application Programming Interface (API), \r\ndeveloped using JavaScript and the React framework. The System Development Life Cycle \r\n(SDLC) Waterfall model was employed, covering planning, design, implementation, \r\ntesting, deployment, and maintenance phases. Testing results show that the system \r\naccurately converts speech into text and provides quick and relevant information on \r\nmedicinal plants. The study demonstrates that implementing AI STT can improve the \r\nefficiency and accessibility of medicinal plant information while supporting the \r\npreservation of Indonesia’s ethnobotanical heritage.\r\nKeywords: Artificial Intelligence, Speech-to-Text, Medicinal Plants, SDLC, Information \r\nRetrieval."^^ . "2025-12-08" . . "Universitas Pakuan"^^ . . . "Fakultas Matematika dan Pengetahuan Alam, Universitas Pakuan"^^ . . . . . . . . . . . "M. Adam"^^ . "Zakaria"^^ . "M. Adam Zakaria"^^ . . "Halimah"^^ . "Tus Sadiah"^^ . "Halimah Tus Sadiah"^^ . . "Herfina"^^ . "Herfina"^^ . "Herfina Herfina"^^ . . "Universitas Pakuan"^^ . . . "Fakultas Matematika dan Ilmu Pnegetahuan Alam"^^ . . . "Program Studi Ilmu Komputer"^^ . . . . . . "HTML Summary of #11229 \n\nIMPLEMENTATION OF AI SPEECH-TO-TEXT \nIN MEDICINAL PLANT SEARCH \nAPPLICATIONS\n\n" . "text/html" . . . "Ilmu Komputer"@en . .