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All Journal Jurnal Pendidikan Indonesia Jurnal Informatika dan Teknik Elektro Terapan Jurnal Teknologi Elektro Creative Information Technology Journal INTEGER: Journal of Information Technology Pendas : Jurnah Ilmiah Pendidikan Dasar Best Journal (Biology Education, Sains and Technology) Jurnal Computer Science and Information Technology (CoSciTech) Journal of Soft Computing Exploration Jurnal Informatika Terpadu International Journal of Community Service Journal of Social Research Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Innovation Research and Knowledge Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Riset Rumpun Ilmu Kesehatan (JURRIKES) Jurnal Ilmiah Teknik Informatika dan Komunikasi Innovative: Journal Of Social Science Research Indonesian Vocational Research Journal IRA Jurnal Pengabdian Kepada Masyarakat Jurnal Penelitian Teknologi Informasi dan Sains Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Dedikasi Nusantara IJENSET Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Nasional Komputasi dan Teknologi Informasi
Mufti Ari Bianto
Universitas Muhammadiyah Lamongan
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Implementation of Yolo26 Nano Model on Riceguard AI System for Rice Leaf Disease Detection Gilang Septia Firmansyah; Alif Bahktiar Akbar; Mufti Ari Bianto; Khairul Umam
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 6 No. 1 (2026): October 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v6i1.2772

Abstract

RiceGuard AI is a new tool for diagnosing leaf diseases affecting rice plants. Early diagnosis of these diseases is crucial for maintaining rice productivity and global food security. This newly developed tool is designed to assist in diagnosing rice diseases by employing computer-vision techniques to automatically detect the condition of rice leaves. The Ultralytics YOLO26 Nano model was selected for this task because it adopts a novel "edge-first" architecture, enabling high processing speeds by eliminating the Non-Maximum Suppression (NMS) step during processing. To achieve this, the model was trained for 50 epochs, attaining a mean Average Precision (mAP) of 0.651 and an inference speed of 7.1 ms per image on an NVIDIA GTX 1650 GPU. The model achieved high accuracy for the leaf scald (99.4%) and healthy leaf (96.7%) categories but struggled to detect the narrow brown spot class (30.1%) due to visual ambiguities associated with it. YOLO26 Nano provides an accurate and efficient solution for detecting these rice conditions, enabling farmers to perform image-based diagnoses in the field for the early detection of leaf scald or healthy leaves, thereby facilitating prompt action. The model is integrated into a modern Flask web application featuring a "Glassmorphism" design style.
Sistem Otomatis dan Monitoring Pemberian Pakan Hewan Peliharaan Berbasis ESP32 Terintegrasi Platform Blyink Ahmad Abdullah Fahmi; Hery Ardyansyah; Mufti Ari Bianto
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 5 (2026): Oktober, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/

Abstract

Abstrak - Pemberian pakan dan air minum secara teratur merupakan bagian penting dalam menjaga kebutuhan hewan peliharaan. Kesibukan pemilik dapat menyebabkan pemberian pakan dan air minum tidak dilakukan secara konsisten. Oleh karena itu, penelitian ini bertujuan merancang dan mengimplementasikan sistem pemberian pakan dan air minum hewan peliharaan berbasis Internet of Things (IoT) yang dapat melakukan pengendalian dan pemantauan secara otomatis. Penelitian ini menggunakan pendekatan pengembangan dengan metode pengumpulan data melalui observasi dan studi literatur. Sistem menggunakan ESP32 sebagai mikrokontroler, sensor ultrasonik HC-SR04 untuk mendeteksi kondisi pakan dan air, servo sebagai mekanisme pemberian pakan, serta pompa air dan relay untuk mengatur penyediaan air minum. Pemantauan sistem dilakukan melalui platform Blynk yang terhubung dengan jaringan internet sehingga kondisi perangkat dapat dipantau secara real-time. Hasil pengujian menunjukkan bahwa sensor HC-SR04 mampu mendeteksi kondisi pakan dan air berdasarkan batas jarak yang telah ditentukan, sehingga servo dan pompa dapat bekerja secara otomatis sesuai kondisi wadah. Sistem juga mampu menampilkan informasi kondisi pakan, air, servo, dan pompa melalui dashboard Blynk secara langsung. Berdasarkan hasil tersebut, sistem yang dikembangkan mampu menjalankan proses pemberian pakan, penyediaan air minum, dan pemantauan secara otomatis sesuai dengan tujuan penelitian. Kata kunci : Internet of Things; ESP32; Sensor Ultrasonik; Pemberian Pakan; Hewan Peliharaan; Abstract - Regular provision of food and drinking water is an important aspect of maintaining the needs of pets. The busy schedules of pet owners may cause feeding and drinking activities to be carried out inconsistently. Therefore, this study aims to design and implement an Internet of Things (IoT)-based pet feeding and drinking water system capable of automatic control and monitoring. This study employs a development approach, with data collection methods consisting of observation and literature study. The system uses an ESP32 as the microcontroller, HC-SR04 ultrasonic sensors to detect food and water conditions, a servo motor as the feeding mechanism, and a water pump and relay to control the provision of drinking water. System monitoring is performed through the Blynk platform, which is connected to the internet, allowing device conditions to be monitored in real time. The test results show that the HC-SR04 ultrasonic sensors are capable of detecting food and water conditions based on predetermined distance thresholds, enabling the servo motor and pump to operate automatically according to the condition of the containers. The system is also capable of displaying information regarding food, water, servo, and pump conditions through the Blynk dashboard in real time. Based on these results, the developed system is capable of automatically carrying out feeding, drinking water provision, and monitoring processes in accordance with the research objectives.. Keywords: Internet of Things; ESP32; Ultrasonic Sensor; Feeding; Pet;
Co-Authors A, Dwi Putra Adam Azzamul Husni Huda Adam Rizky Al’insani Adhani, Hamka Lukmanul Hakim AF Suryaning Ati MZ Afifah Agustin Ahmad Abdullah Fahmi Ahmad Abdullah Fahmi Akbar Ramadhani Alfina Wijayanti Wibowo Alif Bahktiar Akbar Angela Tiara Marsningrum Arbiansyah, Lutfi Ardian Hudi Ramadhani Aris Widodo Badriyatul Musyarofah Bagus Dwi Jauhari Bagus Dwi Saputra Bufa Al badi Ecki Salma Hapsari Eko Handoyo Eva Laili Wijayanti Fiqrul Labib Abdullah Gilang Septia Firmansyah Hanif Azhar Ramadhan Hanif Azhar Ramadhan Heri Ardiansyah Hery Ardiansyah Hery Ardyansyah Hidayah, Septina Alfiani Ihsan, M. Nurul Khairul Umam Khairul Umam Kusrini M. Cahyo Kriswantoro M. Rosyibad Rizein Mala Rosa Aprillya Moch. Ryan Nurfebrianto Mohammad Hisyam Romadhon Mohammad Huda Adi Sanjaya Mubaarok, Ahmad Husni Muhammad Syaifuddin Alamsyah Mutsna, Mutsna Pratama, Alif Nanda Ramadhan, Bayu Putra Rifki Noor Rohman Rofiatun Solekha Ryky Ardiansyah Salasun Nisah SAPUTRA, BAGUS DWI Setiyowati, Putri Ayu Ika Sholikha, Hidayatin Sudarmawan Sudarmawan Tsalits Wildan Hamid Uswatun Chasanah Vico Tegar Rawo Wijoyo Widuri Octavianunisa Wijayanti, Lusi Salsabilla Yuni Furoida Maknuna Zafi, Ali Zahrotun Nisa Zamani, Sevian Nadi Zufar Faiil Haq Zuhrotun Nisa