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All Journal Journal of Telematics and Informatics JUITA : Jurnal Informatika Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Teknik Komputer AMIK BSI Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma Jurnal Sains dan Informatika Jurnal Teknik Informatika STMIK Antar Bangsa JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Infortech Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Sistem Informasi IAIC Transactions on Sustainable Digital Innovation (ITSDI) Computer Science (CO-SCIENCE) Conten : Computer and Network Technology Indonesian Journal of Networking and Security - IJNS Jurnal Insan Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Media Teknologi dan Informatika Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Teknik Informatika dan Teknologi Informasi
Rachmat Adi Purnama
Universitas Bina Sarana Informatika
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Social Sciences Other

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Sistem Deteksi Penyakit pada Tanaman Cabai Menggunakan RT-DETR dan YOLLOv8 Pedro Lucio Parera; Gregorius Bayu Listyoputro; Krisnavaro Raihananta; Rachmat Adi purnama; Rame Santoso; Veti Apriana
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6373

Abstract

This study investigates the performance of two state-of-the-art object detection models, YOLOv8 and RT-DETR, in identifying diseases in chili plants, which represent a major challenge affecting horticultural productivity. Diseases such as anthracnose and Cercospora leaf spot often cause significant yield losses, and traditional manual identification tends to be inefficient, subjective, and error-prone due to the visual similarities found among disease symptoms. The objective of this research is to evaluate and compare the capabilities of both models using the Chili dataset from Roboflow Universe consisting of four classes: Anthracnose, Cercospora Leaf Spot, Healthy Fruit, and Healthy Leaf. The methodology includes data preprocessing, training using identical hyperparameters, and performance evaluation through accuracy and model behavior analysis during real-world testing. The findings indicate that RT-DETR achieves higher accuracy in controlled testing, reaching 90% for Anthracnose, 95% for Healthy Leaf, 100% for Healthy Fruit, and 85% for Cercospora Leaf Spot, supported by its transformer-based architecture that enhances spatial understanding. However, YOLOv8 demonstrates superior stability and consistency in real-world scenarios involving varying lighting, leaf orientations, and natural texture variations. The model also produces fewer misclassification errors, making it more reliable for practical field deployment. The implications of these results show that YOLOv8 is the most suitable model for integration into a Streamlit-based application due to its fast, responsive, and accurate inference, supporting early disease detection for chili farmers.
Co-Authors Ade Christian Ade Setiawan Adi Tri Laksono Putra Aditya, Tri Putra Agus Tri Purnomo Agustinus Aditya Bintara Ahmad Setiadi Ahnaf putra hafezi Andy Rafsandi Anton Atrinawati, Lovinta Happy Ayi Rohmayati - STMIK Nusa Mandiri Jakarta Baginda Oloan Lubis Bagus Adi Wibowo Dedi Triyanto DENI SETIAWAN Dennis Gunawan, Dennis DENY KURNIAWAN Dyas, Pramudya Widyastama Ehon Abdulmanan Eka Kusuma Pratama Eka Ria Nugraha El Faraboy Endri Maulana Fadhil Naufal Shodiq Faqihuddin, Muhammad Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Gregorius Bayu Listyoputro Hanggoro Aji Al Kautsar Kaisar Ages Querio Kartika Handayani Krisnavaro Raihananta Mahatma Mahesa Mochamad Rizky Ainur Ridho Mochamad Wahyudi Mugi Raharjo Muhammad Rifki Zhaki Muhammad Rizky Heriadi Putra Musriatun Napiah Mustofa Mustofa Pedro Lucio Parera Prima Cop Rachmawati Darma Astuti Raharjo, Mugi Rame Santoso Rame Santoso Rian Septian Anwar Samuel Orief Rosario Sari Dewi Sari Dewi Sujiliani Heristian Sumanto, Sumanto Teuku Vaickal Rizki irdian Tri Putra Aditya Veti Apriana Veti Apriana Waeisul Bismi Wahyutama Fitri Hidayat wati erawati Yesni Malau