Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Abdimas Galuh : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Data and Science
Romadlon, Muhammad Rizqi
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Mathematics Nursing

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
YOLOv8 Implementation on British Sign Language System with Edge Detection Extraction Romadlon, Muhammad Rizqi; Anik Nur Handayani
Indonesian Journal of Data and Science Vol. 6 No. 2 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i2.276

Abstract

This study presents the development and implementation of a deep learning-based system for recognizing static hand gestures in British Sign Language (BSL). The system utilizes the YOLOv8 model in conjunction with edge detection extraction techniques. The objective of this study is to enhance the accuracy of recognition and facilitate communication for individuals with hearing impairments. The dataset was obtained from Kaggle and comprises images of various BSL hand signs captured against a uniform green background under consistent lighting conditions. The preprocessing steps entailed resizing the images to 640 640 pixels, implementing pixel normalization, filtering out low-quality images, and employing data augmentation techniques such as horizontal flipping, rotation, shear, and brightness adjustments to enhance robustness. Edge detection was implemented to accentuate the contours of the hand, thereby facilitating more precise gesture identification. Manual annotation was performed to generate both bounding boxes and segmentation masks, allowing for the training of two model variants: The first is YOLOv8 (non-segmentation), and the second is YOLOv8-seg (segmentation). Both models underwent training over a period of 100 epochs, employing the Adam optimizer and binary cross-entropy loss. The training-to-testing data splits utilized were 50:50, 60:40, 70:30, and 80:20. The evaluation metrics employed included mAP@50, precision, recall, and F1-score. The YOLOv8-seg model with an 80:20 split demonstrated the optimal performance, exhibiting a precision of 0.974, a recall of 0.968, and mAP@50 of 0.979. These metrics signify the model's capacity for robust detection and localization. Despite requiring greater computational resources, the segmentation model offers enhanced contour recognition, rendering it well-suited for high-precision applications. However, the generalizability of the model is constrained due to the employment of static gestures and controlled backgrounds. In the future, researchers should consider incorporating dynamic gestures, varied backgrounds, and uncontrolled lighting to enhance real-world performance.
Revitalisasi Sarana Kamar Mandi dan Pembangunan Area Parkir SD Muhammadiyah 5 Sukun Malang Andardi, Faris Rizal; Wahyudiono, Sandi; Tamzi Kurniawan, Iyan Prasetyo; Aqli, Rasiful; Romadlon, Muhammad Rizqi; Taqiyuddin, Muhamad Hilmi; Binnawa, Achmad Adlan; Adibah, Amalia Nur
Abdimas Galuh Vol 6, No 1 (2024): Maret 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v6i1.13450

Abstract

SD Muhammadiyah 5 adalah salah satu satuan pendidikan dengan jenjang SD di Tanjungrejo, Kec. Sukun, Kota Malang, Jawa Timur. Data awal yang didapatkan di lapangan, diketahui bahwa SD Muhammadiyah 5 Sukun Malang ini kurang optimal untuk perawatan dan pemeliharaan bangunan. Kegiatan ini bertujuan untuk memperbaiki sarana dan prasarana yang rusak dan membangun sarana atau prasarana yang belum tersedia. Kegiatan dimulai dengan diadakannya survey di sejumlah lokasi toko bangunan dan sekolah untuk mendapatkan data data yang berguna saat eksekusi pekerjaan nantinya. Kegiatan pengabdian dimulai dengan pengecatan dinding dilakukan pada kamar mandi guru yang berjumlah 2 ruang, lalu pembuatan lahan parkir dilakukan di lahan kosong pada lingkungan sekolah, lalu pergantian keramik juga dilakukan dikarenakan kondisi keramik yang sudah pecah dan rusak, penggantian jendela juga dilakukan dikarenakan jendela sudah rusak dan tidak layak. Perbandingan siswa dan jumlah kamar mandi serta tempat wudhu yang tidak sebanding maka diperlukan perencanaan kamar mandi dan tempat wudhu. Untuk itu diperlukan perencanaan gambar 2D dan 3D kamar mandi serta tempat wudhu yang baru. Berdasarkan pengabdian masyarakat yang kami lakukan kami berhasil menyelesaikan pembuatan lahan parkir, perbaikan keramik, perbaikan kusen jendela, dan pengecatan ulang kamar mandi, serta perencanaan gambar kamar mandi dan tempat wudhu.
Co-Authors Amalia Nur Adibah Anik Nur Handayani Aqli, Rasiful Binnawa, Achmad Adlan Faris Rizal Andardi Tamzi Kurniawan, Iyan Prasetyo Taqiyuddin, Muhamad Hilmi Wahyudiono, Sandi