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All Journal Madani : Indonesian Journal of Civil Society Journal of Applied Data Sciences Jurnal Indonesia Mengabdi
Pratama, Muhamad Rifki
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Other

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Pelatihan Pembuatan Ecoprint Pada Totebag untuk Meningkatkan Jiwa Wirausaha dan Kreativitas Anak di SD N 05 Wanarejan Selatan Putri, Mufida Awalia; Mukhawanah, Ulfah; Pratama, Muhamad Rifki; Dirgantara, Rona Az Zahra; Maharani, Windi; Silvia, Bhertatri; Salsabila, Irma Shofiana; Dewi, Disa Kamila; Milasari, Milasari; Surayya , Fina; Diniya, Muhammad Isna Putra; Saputra, Dika Alfian
Jurnal Indonesia Mengabdi Vol. 6 No. 2 (2024): December Edition
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) STKIP Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/qsd4jz56

Abstract

Pengetahuan masyarakat dalam mengelola dedaunan, bunga, akar, dan batang dari tanaman menjadi produk yang dapat mendatangkan keuntungan belum baik. Tujuan pelatihan ecoprint merupakan salah satu kegiatan kreatif yang dapat meningkatkan jiwa wirausaha dan kreativitas anak-anak. Metode pelatihan meliputi Kegiatan pelatihan dan pendampingan yang dilakukan melalui ceramah, demonstrasi, dan praktik pembuatan ecoprint. Hasil dari pelatihan ini menunjukkan peningkatan kreativitas siswa dalam mendesain totebag dengan teknik ecoprint, serta peningkatan minat terhadap wirausaha di kalangan siswa. Hasil pengabdian ini menunjukkan siswa dapat membuat ecoprint dalam bentuk totebag secara mandiri dan pelatihan ini juga berhasil meningkatkan kesadaran lingkungan.
UAV Imagery-Based Potential Forest Fire Detection Using YOLOv10 Pardede, Jasman; Pratama, Muhamad Rifki; Milenio, Rizka Milandga
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1052

Abstract

Forest fire mitigation requires an early detection system that is both fast and reliable. This study presents a real-time potential forest fire detection system based on UAV imagery using the YOLOv10 object detection model. The main objective is to enhance the accuracy of detecting fire and smoke in aerial imagery and to minimize false alarms through hyperparameter optimization and data balancing strategies. The dataset used was compiled from Roboflow Universe and Kaggle, consisting of two object classes: fire and smoke, with a slight class imbalance (1329 fire and 1024 smoke). In total, 1,691 annotated images were used, covering various lighting conditions, smoke densities, camera angles, and geographic backgrounds, and were divided into training, validation, and test sets with a ratio of approximately 75:15:10. To address the class imbalance and visual variability, data augmentation techniques such as rotation, flipping, brightness adjustment, and noise addition were applied, along with loss weighting to improve learning performance for the minority smoke class. Model training was conducted using 24 hyperparameter configurations combining six optimizers, two batch sizes, and two learning rates. The best hyperparameters are NAdam optimizer, batch_size 24, and learning_rate 0.001.The best performance of accuracy, precision, recall, F1-score, mean IoU, and mAP were achieved at 0.879, 0.8705, 0.8575, 0.863, 0.7373, and 0.870, respectively. Real-time testing using a DJI Mini 4 Pro UAV with RTMP livestream input demonstrated stable and responsive detection, displaying bounding boxes, class labels, confidence scores, and a “POTENTIAL FOREST FIRE” indicator when both fire and smoke were detected simultaneously. These findings confirm that integrating UAV and YOLOv10 technologies provides an effective and adaptive approach for real-time early detection of potential forest fires.
Implementasi Agile Scrum Pada Pengembangan Website untuk Manajemen Barang PT Alita Praya Mitra Miftahuddin, Yusup; Syaputra, Andika Wahyu; Sukmana, Rifqi Fachriza; Apriadi, Nurochman Rizky; Nugraha, Rafli Adytia; Herdiansyah, Rayhan Maulana; Pratama, Muhamad Rifki
Madani : Indonesian Journal of Civil Society Vol. 8 No. 1 (2026): Madani : Februari 2026
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/rz7k6y04

Abstract

PT Alita Praya Mitra is a company engaged in the field of Information and Communication Technology (ICT). In the process of managing Bill of Quantity (BoQ) data, the company does not yet have an integrated system, and data processing is still carried out conventionally, which requires a considerable amount of time. This condition causes the processes of recording, processing, and retrieving data to be less efficient and potentially prone to errors. Therefore, one possible solution is the development of an integrated web-based inventory management system. The system was developed using the Agile Scrum methodology, which consists of several stages, including user stories, product backlog, sprint planning, sprint backlog, and daily scrum. This method was chosen because it supports gradual and flexible system development based on user needs. Based on the testing results, the system has been successfully implemented and named the PO Management Tools. The implementation results show that the system can accelerate the BoQ data processing process and improve work efficiency. In addition, Agile Scrum has proven to support system development effectively even with a small development team.
Co-Authors Apriadi, Nurochman Rizky Dewi, Disa Kamila Diniya, Muhammad Isna Putra Dirgantara, Rona Az Zahra Herdiansyah, Rayhan Maulana Jasman Pardede Maharani, Windi Miftahuddin, Yusup Milasari Milasari Milenio, Rizka Milandga Mukhawanah, Ulfah Nugraha, Rafli Adytia Putri, Mufida Awalia Salsabila, Irma Shofiana Saputra, Dika Alfian Silvia, Bhertatri Sukmana, Rifqi Fachriza Surayya , Fina Syaputra, Andika Wahyu