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All Journal Jurnal Pengembangan Sistem Informasi dan Informatika
Ramadani, Ardi
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Computer Science & IT Social Sciences

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Implementasi Convolutional Neural Network (CNN) dalam Diagnosa Penyakit Daun Padi Berdasarkan Citra Digital Irawan, Indra; Wathan, M.Hizbul; Swengky, Better; Ramadani, Ardi
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 6 No. 3 (2025): Jurnal Pengembangan Sistem Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v6i3.2756

Abstract

This study investigates the implementation of Convolutional Neural Network (CNN) in classifying rice leaf diseases based on digital images. The model classifies three types of diseases: Bacterial Leaf Blight, Rice Blast, and Rice Tungro Virus. A dataset of 240 images was obtained from Kaggle, with 80 images per class. Four training scenarios were applied using 25, 50, 75, and 100 epochs. Preprocessing steps included resizing all images to 150x150 pixels and normalizing pixel values. Evaluation results show that classification accuracy increases with the number of training epochs. The best model was achieved at 100 epochs, yielding a validation accuracy of 91.67% and testing accuracy of 92%. These results demonstrate that CNN is effective in diagnosing rice leaf diseases and can support early detection efforts to strengthen national food security.
Pengembangan Sistem Pengelolaan Permintaan Olah Data Dengan Notifikasi Otomatis Di Badan Pusat Statistik Provinsi Kepulauan Bangka Belitung Ramadani, Ardi; Rindri, Yang Agita; Irawan, Indra
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 7 No. 1 (2026): Jurnal Pengembangan Sistem Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v7i1.3241

Abstract

This research aims to develop a web-based data request management system with automatic notifications at the BPS Bangka Belitung Province to overcome manual system constraints that cause response delays and difficulties in status monitoring. The method used is Rapid Application Development (RAD), comprising four stages: requirements planning, system design using UML, implementation using Laravel 11 and MySQL, and deployment. The system involves four actors: Admin, PST Officer, Data Processor, and Customer, with an integrated workflow from submission to output delivery, accompanied by automatic email notifications. User Acceptance Testing results from 13 respondents indicated an excellent acceptance rate of 90.6%, demonstrating that the system can improve service efficiency and the transparency of data request processes. The system successfully addresses documentation challenges, facilitates internal coordination between officers, and enables customers to track request status independently.
Co-Authors Better Swengky Indra Irawan Indra Irawan Wathan, M.Hizbul Yang Agita Rindri