Wisnu Andika, . (2025) RANCANG BANGUN APLIKASI MOBILE PENDETEKSI PENYAKIT BROWN SPOTS PADA DAUN SAWIT DENGAN CNN BERARSITEKTUR VGG16. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Oil palm plays a strategic role in Indonesia's economy; however, its productivity can be disrupted by plant diseases such as Brown Spots, which affect the leaves. This disease is caused by the Curvularia spp. fungus and is often difficult for farmers to detect early due to limited knowledge and the ineffectiveness of conventional identification methods. This study aims to design an Android-based mobile application integrated with a Convolutional Neural Network (CNN) model using the VGG16 architecture to detect Brown Spots on oil palm leaves. The application was developed using the Rapid Application Development (RAD) method, which emphasizes speed and continuous prototype iteration. The CNN model was trained using a dataset of oil palm leaf images obtained through web scraping and was then integrated into the application. The application was tested using Black Box testing and a User Acceptance Test (UAT) with a Likert scale. The results showed that the application performed well according to the testing scenarios and achieved a 90% user acceptance rate, categorized as "Strongly Agree." The CNN model with VGG16 architecture demonstrated excellent classification performance, achieving 97% accuracy along with precision, recall, and F1-score values of 0.97. These results indicate that the developed application is effective in accurately and practically detecting Brown Spots and is expected to contribute to improving oil palm productivity.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110511043] [Pembimbing: Indra Permana Solihin] [Penguji 1: Widya Cholil] [Penguji 2: Nurul Afifah Arifuddin] |
| Uncontrolled Keywords: | Oil Palm, Brown Spots, Convolutional Neural Network, Mobile Application, Rapid Application Development |
| Subjects: | 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: | WISNU ANDIKA |
| Date Deposited: | 06 Aug 2025 07:08 |
| Last Modified: | 06 Aug 2025 07:08 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37230 |
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