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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Journal of System and Computer Engineering Bima Abdi: Jurnal Pengabdian Masyarakat Taroa : Jurnal Pengabdian Masyarakat ARMADA : Jurnal Penelitian Multidisiplin Jurnal Penelitian, Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian kepada Masyarakat (PEMAS) Jurnal Pengembangan Sains dan Teknologi Scientific: Journal of Computer Science and Informatics Journix: Journal of Informatics and Computing Journal of Vocational, Informatics and Computer Education Journal of Digital Technology and Computer Science
Dahlan
Universitas Muhammadiyah Bima, Bima, Indonesia
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Journal : journal of digital technology and computer science

 1 
YOLOv9-Based Classification of Ganyong Plant Health for Early Detection of Leaf Spot Disease M Fikram; Siti Mutmainah; Dahlan
Journal of Digital Technology and Computer Science Vol. 3 No. 2 (2026): April 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/dtcs.v3i2.551

Abstract

Purpose – This study implements the YOLOv9 architecture to automatically classify the health condition of ganyong leaves (Canna edulis Kerr.) as an early-detection tool for leaf spot disease. The study addresses the limitations of subjective manual identification and supports farmers in Bumipajo Village, Bima Regency, in reducing potential crop failure. Methods – A primary field dataset consisting of 1,383 image objects was collected and divided into training, validation, and testing sets using a 70:20:10 ratio. YOLOv9 was implemented by integrating Programmable Gradient Information (PGI) and the Generalized Efficient Layer Aggregation Network (GELAN). Model training was conducted in Google Colab using GPU acceleration, a batch size of 4, and 50 epochs. Findings – Evaluation on independent test data showed strong detection performance, with mAP@50 of 99%, Precision of 99%, Recall of 100%, and an average inference speed of 58.4 ms per image. These results indicate that YOLOv9 can effectively preserve disease-related morphological features in visually complex biological objects. Research implications – The findings are limited to the environmental conditions of the data collection site and one disease type. The reported time efficiency also depends on GPU-based hardware and requires further validation on mobile devices. Originality – This study contributes a field-based primary dataset of ganyong leaves and validates YOLOv9 for a local agricultural commodity that remains underexplored.
Development of an IoT-based Smart Farming System using ESP32 for Livestock Monitoring Rizki Fikriansyah; Siti Mutmainah; Dahlan
Journal of Digital Technology and Computer Science Vol. 3 No. 2 (2026): April 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/dtcs.v3i2.607

Abstract

Purpose – Livestock farming is a vital sector of the Indonesian economy, yet the common practice of allowing livestock to roam freely renders manual monitoring inefficient and exposes farmers to risks of loss, accidents, and theft. This study presents an IoT-based livestock monitoring prototype designed to enable real-time location tracking and automated boundary violation alerts, addressing the lack of affordable and practical smart monitoring solutions for smallholder farmers. Methods – The system was developed using an ESP32 microcontroller integrated with a Neo-6M GPS module and a Telegram bot for automatic notifications. A geofencing boundary of 50 meters was configured from a fixed reference point. Twelve trials were conducted across morning, afternoon, and evening sessions to evaluate system performance under varying conditions. Findings – The system delivered location alerts every ten minutes with Google Maps links and coordinates. Under normal conditions, livestock positions were detected within 5.0–12.7 meters of the reference point. Boundary violations exceeding 50 meters triggered immediate alerts, with notification latency ranging from 3 to 8 seconds under stable network conditions. GPS baseline error was approximately 5.0–5.5 meters, with an accuracy variation of ±2–3 meters. Research Implications – System performance is constrained by Wi-Fi network stability and environmental factors affecting GPS accuracy, limiting its generalizability to areas with reliable connectivity. Further field testing is required before broader implementation. Originality – This study contributes a low-cost, ESP32-based geofencing solution integrated with Telegram, offering a practical and scalable approach to smart livestock monitoring in developing agricultural contexts.
Web-Based School Profile Information System for Enhancing Digital Promotion and Public Information Access at SDN 65 Jatibaru Hesti Faradilla; Syarifuddin; Dahlan
Journal of Digital Technology and Computer Science Vol. 3 No. 2 (2026): April 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/dtcs.v3i2.956

Abstract

Purpose – This study aims to design and evaluate a web-based school profile information system as a digital promotional medium for SDN 65 Jatibaru, Bima City. The system addresses the limitations of manual information dissemination and supports broader public access to school information. Methods – This study employed the Waterfall development model, consisting of requirements analysis, system design, implementation, testing, and maintenance. The system was developed using PHP and MySQL, supported by HTML5, CSS3, and JavaScript for a responsive user interface. Functionality was evaluated through Black Box Testing, while user acceptance was assessed using a User Acceptance Test questionnaire involving 26 respondents, consisting of 3 administrators/teachers and 23 visitors/parents. Findings – The system provides features for managing school profiles, teacher data, student data, student achievements, school programs, and photo galleries. Black Box Testing showed that all 32 test scenarios were successfully completed, resulting in a functional validity rate of 100%. User acceptance results showed feasibility scores of 94.0% from administrators/teachers and 90.2% from visitors/parents, both categorized as Very Feasible. Research Implications – The findings indicate that a PHP/MySQL-based school profile system can support digital promotion and public information access in primary schools. However, the lower information-completeness score among administrative users indicates the need for future improvement in content completeness and administrative usability. Originality – This study contributes a dual-perspective user acceptance evaluation involving internal school users and external public users, providing a more balanced assessment of system feasibility for school digital promotion.
Co-Authors Chairul Akbar Dilla Puspita Mentia Fathir Fathir Fathir Hesti Faradilla Hilyatul Mustafidah Ihwan Intan Nuraini Irma Eryanti Putri Irma Eryanti Putri Irma Eryanti Putri Irma Putri Khaeruddin Khaeruddin Khaeruddin lulu lulu julia julia M Fikram M. Deta Zulfikar Rahman Maulana Muhammad Jogo Samudro Miftahul Jannah Miftahul Jannah Muhammad Amirul Mu'min Muhammad Amirul Mu’ min Musmuliadin Nadila Melati Sukma Nurfadilah Nurul Aulia Safitri Nurul Farhin Putri, Irma Rahmat Dani S Rahmat Dani S Rizki Fikriansyah Sahibu, Supriadi Sahrul Ramadhan Siti Mutmainah Syarifuddin Syarifuddin Syarifuddin Syarifuddin Syarifuddin Syarifuddin Taufiqurahman Taufiqurahman Taufiqurahman, Taufiqurahman Taufiqurrahman Taufiqurrahman Yana Safitri, Yana Yuyun, Yuyun Zumhur Alamin Zumhur Alamin