Afif Fakhri, . (2025) PERANCANGAN APLIKASI MOBILE IDENTIFIKASI TANAMAN HIAS MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK DENGAN METODE EXTREME PROGRAMMING. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
This research aims to design a mobile application for identifying ornamental plants using the convolutional neural network (CNN) algorithm with the extreme programming (XP) method. The application is designed to assist users in accurately recognizing various types of ornamental plants and providing appropriate care information. The development process of the application is carried out iteratively, starting from planning user requirements, interface design, coding, to testing. The applied CNN model demonstrates an identification accuracy of 93.41%, with a training accuracy of 90.96% and a validation accuracy of 92.20%. The XP method allows for feature adjustments based on user feedback, making the application more responsive to user needs. This application is also equipped with educational features that provide in-depth information about the characteristics and care of plants, as well as a user-friendly interface to enhance the interaction experience. Results from User Acceptance Testing (UAT) indicate a high level of user satisfaction, with an average score of 86.86%, demonstrating that the application meets user expectations. Thus, this application is expected to enhance users' knowledge and skills in optimally caring for ornamental plants and to encourage public interest in gardening as a hobby. This research makes a significant contribution to the development of ornamental plant identification technology and can serve as a reference for further research in the same field.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110511063] [Pembimbing 1: Ruth Mariana Bunga Wadu] [Pembimbing 2: Neny Rosmawarni] [Penguji 1: Ridwan Raafi’udin] [Penguji 2: Zatin Niqotaini] |
| Uncontrolled Keywords: | Mobile Application, Ornamental Plant Identification, Convolutional Neural Network, Extreme Programming, User Acceptance Testing. |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software Q Science > QK Botany S Agriculture > SB Plant culture |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | AFIF FAKHRI |
| Date Deposited: | 06 Feb 2025 09:25 |
| Last Modified: | 06 Feb 2025 09:25 |
| URI: | http://repository.upnvj.ac.id/id/eprint/35595 |
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