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All Journal Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Brilliance: Research of Artificial Intelligence
Hedy Leoni Asbudi
Universitas Cokroaminoto Palopo, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Utilizing ResNet-50 for Deep Learning-Based Rice Leaf Disease Detection Risna Sari; Hedy Leoni Asbudi; Fitrah Eka Susilawati
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7425

Abstract

Rice is a primary global food commodity, yet its productivity is frequently threatened by various diseases that significantly reduce both yield quality and quantity. Traditional manual diagnosis by farmers is often subjective, time-consuming, and prone to inaccuracies, necessitating more efficient automated solutions. This research evaluates the ResNet50 architecture for the automated classification of rice leaf diseases through digital image analysis. The study specifically investigates the model's performance on a specialized dataset and analyzes how different data splitting ratios influence accuracy and stability. A public dataset comprising four classes—Hispa, Healthy, Leaf Blast, and Brown Spot—was employed. The data underwent rigorous labeling, pre-processing, and augmentation to enhance sample diversity before being partitioned into training and testing sets using three ratios: 85:15, 80:20, and 90:10. The ResNet50 model was implemented using transfer learning with pre-trained ImageNet weights and fine-tuned on the classification layers. Experimental results reveal that the 85:15 split ratio achieved the highest accuracy of 81.48%, followed by 78.77% for the 80:20 ratio and 76.21% for the 90:10 ratio. These findings suggest that ResNet50 provides competitive performance for rice disease detection. Furthermore, achieving an optimal balance between training and testing data is critical for maximizing model generalization within modern smart farming applications.
Pembentukan Soft Skill Remaja Melalui Kegiatan Karang Taruna Di Desa Buntu Torpedo, Kecamatan Sabbang, Kabupaten Luwu Utara Megawati Megawati; Busra Bumbungan; Titi Ardiyanti; Hedy Leoni Asbudi
Jurnal Abdimas Indonesia Vol. 5 No. 2 (2025)
Publisher : Perkumpulan Dosen Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34697/jai.v5i2.1530

Abstract

Kegiatan karang taruna bertujuan membentuk kemampuan keterampilan pemuda desa melalaui kegiatan karang taruna. Jenis penelitian yang digunakan adalah penelitian kualitatif dengan desain deskriptif. Pengumpulan data yang digunakan adalah observasi, wawancara, dan dokumentasi. Kegiatan karang taruna dalam membentuk soft skill remaja di Desa Buntu Torpedo, Kecamatan Sabbang, Kabupaten Luwu Utara. Penelitian ini dilaksanakan di Desa Buntu Torpedo, Kecamatan Sabbang, Kabupaten Luwu Utara. Hasil kegiatan pengabdian menunjukkan bahwa kegiatan yang dilaksanakan oleh karang taruna sangat efektif dalam proses pembentukan karakter pemuda/remaja, dalam proses pelaksanaannya melibatkan semua pemuda/remaja di Desa Buntu Torpedo, dengan dua kegiatan yang dilaksanakan yakni peternakan ikan lele dan tudang sipulung. Kegiatan rutinitas dilakukan dengan cara pemberian materi-materi yang dibutuhkan oleh pemuda/remaja seperti pada kegiatan tudang sipulung, sedangkan kegiatan bulanan dan tahunan para pemuda/remaja dituntun secara langsung dalam suatu kegiatan yang akan dilaksanakan seperti pada kegiatan peternakan ikan lele dimana yang bertugas untuk menjaga dan merawat kolam dan ikan yaitu anggota karang taruna secara bergantian. Pembentukan karakter melalui kegiatan karang taruna dilakukan melalui kegiatan-kegiatan yang dilaksanakan karang taruna dimana para pemuda diberikan kesibukan yang nantinya akan mengurangi sedikit demi sedikit kegiatan yang tidak bermanfaat seperti kumpul-kumpul tidak jelas sampai menimbulkan keributan serta dua kegiatan tersebut dapat membentuk karakter tanggungjawab, sabar, peduli sesama, dan bersatu.
Co-Authors Busra Bumbungan Fitrah Eka Susilawati Megawati Megawati Risna Sari Titi Ardiyanti