Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Bangkit Indonesia Jurnal Pengabdian Masyarakat Tekno
Rizaludin, Muhamad
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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

Found 2 Documents
Search

 1 
Sistem Presensi menggunakan Deteksi Objek Wajah Mahasiswa Berbasis YOLO-V5 Rahayu, Mina Ismu; Rizaludin, Muhamad; Jayusman, Yus
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.310

Abstract

Attendance is a crucial aspect across various sectors, such as corporate, governmental, and educational institutions, for efficient management. The advancement of deep learning technology, particularly in the field of facial recognition, has become a primary focus in enhancing identification accuracy. In this context, visual object detection through computer vision plays a key role, with the You Only Look Once (YOLO) method emerging as a leading choice for real-time object detection across various media, including webcams, due to its speed and efficiency. This research proposes the application of YOLO-V5 in the development of a student attendance system. This approach utilizes deep learning and data augmentation to enhance the accuracy of student identification. YOLO-V5 enables efficient real-time object detection, achieving an accuracy rate of up to 95% on each frame. The implementation of the student attendance system using the YOLO-V5 method successfully detects student attendance in real-time with a high level of accuracy. This demonstrates the potential of this method to improve the efficiency of attendance management and its suitability for integration into student attendance systems. This research represents a significant advancement in the use of deep learning and computer vision to increase the accuracy and efficiency of attendance management
Optimalisasi Pengelolaan Smart Village Melalui Pelatihan Dan Implementasi Aplikasi Self-Assessment Desa Pecakaran Hadian, Nur; Rizaludin, Muhamad; Fanani, M.Rudi
Jurnal Pengabdian kepada Masyarakat TEKNO (JAM-TEKNO) Vol 7 No 1 (2026): Juni 2026 In Progress
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/jamtekno.v7i1.7675

Abstract

Program pengabdian kepada masyarakat ini bertujuan meningkatkan kapasitas digital aparatur desa dalam mengelola dan mengevaluasi implementasi Smart Village melalui pendampingan pengembangan serta memanfaatkan aplikasi self-assessment. Selama ini, proses evaluasi layanan digital desa masih dilakukan secara manual, tidak terstruktur, dan belum memiliki standar pengukuran yang jelas sehingga menyulitkan pemerintah desa dalam mengidentifikasi tingkat efektivitas layanan serta menentukan strategi pengembangan yang tepat. Metode pelaksanaan kegiatan meliputi sosialisasi konsep evaluasi Smart Village berbasis indikator, pelatihan penggunaan aplikasi self-assessment, serta pendampingan implementasi aplikasi dalam proses evaluasi layanan digital desa. Indikator evaluasi yang digunakan mencakup kualitas sistem, kualitas informasi, kualitas layanan, pemanfaatan teknologi, kepuasan pengguna, dan dampak manfaat bersih. Aplikasi yang dikembangkan berbasis web dengan desain sederhana tanpa proses login kompleks serta dilengkapi fitur pengisian indikator, visualisasi hasil evaluasi, riwayat penilaian, dan rekomendasi perbaikan berbasis skor. Hasil kegiatan menunjukkan bahwa aparatur desa mampu menggunakan aplikasi secara mandiri dalam melakukan evaluasi layanan digital. Nilai evaluasi implementasi Smart Village yang diperoleh sebesar 81.06 menunjukkan bahwa aplikasi ini efektif memberikan gambaran objectif tingkat keberhasilan layanan digital desa serta mendukung pengambilan keputusan dalam pengembangan layanan secara keberlanjutan.
Co-Authors Fanani, M.Rudi Hadian, Nur Jayusman, Yus Rahayu, Mina Ismu