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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) JURNAL NASIONAL TEKNIK ELEKTRO Jurnal CoreIT JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Infomedia DoubleClick : Journal of Computer and Information Technology JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi CSRID (Computer Science Research and Its Development Journal) JURNAL SURYA ENERGY Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer JISKa (Jurnal Informatika Sunan Kalijaga) INTI Nusa Mandiri Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Jurnal Generic Brilliance: Research of Artificial Intelligence Algoritme Jurnal Mahasiswa Teknik Informatika Informatics and Enginering Dedication PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Arcitech: Journal of Computer Science and Artificial Intelligence Digital Transformation Technology (Digitech) MDP Student Conference Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Riau Jurnal Teknik Informatika Scientific Journal of Informatics IPSSJ
Dedy Hermanto
Universitas Multi Data Palembang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Implementasi Arsitektur YOLOv11 untuk Deteksi Penyakit Daun Tebu Daniel Daniel; Dedy Hermanto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 3 (2026): JULY 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i3.6138

Abstract

Sugarcane (Saccharum officinarum L.) plays an important role in the national sugar industry, but its productivity has declined due to leaf diseases such as mosaic, red rot, rust, and yellow leaf. Manual identification is often inefficient, especially for farmers in remote areas. This study proposes a YOLOv11 architecture for the detection and classification of sugarcane leaf diseases based on digital images, with performance analysis compared to previous deep learning models and the effect of image augmentation on accuracy. The dataset from the Sugarcane Leaf Disease Dataset on Kaggle includes 2,521 images with five classes (healthy, mosaic, red rot, rust, yellow). The data was processed through preprocessing, division (80% training, 10% validation, 10% testing), and augmentation (rotation, translation, flip). The results show an average precision of 97.2%, recall of 98.2%, mAP@0.5 of 98.8%, and mAP@0.5:0.95 of 95.5%, proving the effectiveness of YOLOv11 in accurate and fast detection.
PELATIHAN PENGGUNAAN SISTEM MONITORING KUALITAS AIR KOLAM DI DINAS PERIKANAN OGAN KOMERING ILIR SUMATERA SELATAN Rahman, Abdul; Hermanto, Dedy; Mulyati, Mulyati; Inayatulah, Inayatulah
FORDICATE Vol 5 No 2 (2026): April 2026
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v5i2.15744

Abstract

Inefficient water monitoring remains a challenge for aquaculture in Ogan Komering Ilir. This community service initiative aims to equip local Fishery Service staff with the skills to operate digital water quality monitoring systems. Using socialization, tool demonstrations, and hands-on practice, participants were trained to accurately monitor crucial parameters such as pH, temperature, and oxygen levels. The results indicate a strengthening of technical capacity in adopting sensory systems for pond oversight. By transitioning from manual to digital methods, staff can now detect water quality degradation early to prevent farmer losses. This program is expected to drive the modernization of the fishery sector in South Sumatra by optimizing the supervisory functions of the relevant agency.
Co-Authors Abdul Rahman Abdul Rahman Ahmad Rizky Ahmad, Prima Anam, M. Syaiful Andreas Saputra, Andreas Ardianto, Feby Daniel Daniel Davincylin, Valen Julyo Armando Deka Putra Pamungkas Deris Stiawan Dermawan, Sepri Desy Iba Ricoida Eka Puji Widiyanto Eldo Suryadi Emi Yuliati Evan Susanto Hendriko, Viky Iis Iis Pradesan Inayatulah, Inayatulah Ivan Ricardo Jiwanata Jonathan, Jasen Joseph Alberto Jovian Aristo Kgs. M. Ammar Yazid Komah, Neilsen Nicholas Kornelia* Kornelia* Kynta, Diva Putri Laksono, Ivan Luthfi Latius Hermawan Lucretia, Jolyn Mauladi, Muhammad Meilinda, Meilinda Muhammad Fadli Muhammad Fahmi Muhammad Rizky Pribadi Mulyati Mulyati Negara, Edi Surya Nova Ariansyah Pibriana, Desi Qois Al Qorni Ramayanti, Indri Richardo Anggara Rizqie, Muhammad Qurhanul Rusbandi rusbandi rusbandi, rusbandi Saputra, Darwin Sepri Dermawan Shinta Puspasari Suluh Arif Wibowo Syakurah, Rizma Adlia Theng, Arifin Therino Elevan, Rivaldo Thingkilia Finnatia Husin Tri Hartati Utami Valentino, Calvin Bertnas Vannes Wijaya Wijaya, Frisky Yuniarti, Erliza