Iftah Ridhatama, . (2024) RANCANG BANGUN APLIKASI IDENTIFIKASI DAN PERAWATAN TANAMAN HERBAL BERBASIS ANDROID DAN CONVOLUTIONAL NEURAL NETWORK (CNN). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Indonesia possesses a wealth of natural resources, including a diverse range of herbal plants that have long been utilized in traditional medicine. However, the knowledge of identifying and caring for herbal plants among the general public is still limited. This research aims to develop an Android-based mobile application, "HerbFlora," which leverages Convolutional Neural Network (CNN) technology to recognize herbal plants and provide accurate care guidelines. The study utilized a CNN model with MobileNetV2 as its foundation, which has been successfully implemented and tested, achieving a testing accuracy rate of 98.87%. The model was then converted to the tensorflow lite format for easy integration into the Android application. The application development process followed the Agile methodology, including several stages: planning analysis, system design creation, application development using Android Studio and Kotlin, and both independent testing and User Acceptance Testing (UAT). The development results show that the "HerbFlora" application can accurately recognize and identify herbal plants while providing user-friendly care instructions. UAT results indicate that the application meets user needs and performs well according to established standards. Therefore, this application is expected to assist the public in better recognizing and utilizing herbal plants, supporting the sustainability of natural resources, and enhancing public health.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010511038] [Pembimbing: Ridwan Raafi'udin] [Penguji 1: Indra Permana Solihin] [Penguji 2: Catur Nugrahaeni Puspita Dewi] |
| Uncontrolled Keywords: | Herbal Plants, Convolutional Neural Network, Android |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | IFTAH RIDHATAMA |
| Date Deposited: | 03 Sep 2024 08:02 |
| Last Modified: | 03 Sep 2024 08:02 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31830 |
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