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All Journal BERKALA FISIKA Jurnal Teknologi Informasi dan Ilmu Komputer INFORMAL: Informatics Journal Journal of Information Systems and Informatics INTEGRITAS : Jurnal Pengabdian Journal Zetroem Santri: Journal of Student Engagement Software Development Digital Business Intelligence and Computer Engineering Parabela: Jurnal Ilmu Pemerintahan & Politik Lokal
Arif Fahmi
Rumah Sakit Umum Daerah
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PEMBERDAYAAN MASYARAKAT DESA PONDOK NONGKO KABUPATEN BANYUWANGI MELALUI PELATIHAN BUDIDAYA KEPITING SOKA DENGAN SISTEM APARTEMEN DAN TEKNOLOGI RAS Rulianto, Jangka; Fahmi, Arif; Kurniawan, Indra; Ton, Sefri; Fiveriati, Anggra; Catrawedarma, IGNB
INTEGRITAS : Jurnal Pengabdian Vol 9 No 2 (2025): AGUSTUS - DESEMBER
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/integritas.v9i2.6200

Abstract

Desa Pondoknongko memiliki potensi besar dalam sektor perikanan, khususnya budidaya Kepiting Soka. Namun, keterbatasan pengetahuan dan teknologi dalam budidaya masih menjadi kendala bagi masyarakat setempat untuk meningkatkan produktivitas dan efisiensi panen. Kegiatan pengabdian masyarakat ini bertujuan untuk memberdayakan masyarakat Desa Pondoknongko melalui pelatihan budidaya Kepiting Soka dengan sistem apartemen dan penerapan teknologi Recirculating Aquaculture System (RAS). Metode yang digunakan meliputi sosialisasi, pelatihan praktik langsung, dan pendampingan teknis kepada para pembudidaya. Hasil kegiatan menunjukkan bahwa peserta pelatihan mengalami peningkatan pemahaman dan keterampilan dalam mengelola budidaya Kepiting Soka secara lebih efisien dan ramah lingkungan. Selain itu, penerapan sistem apartemen dan teknologi Recirculating Aquaculture System (RAS) terbukti mampu mengoptimalkan pertumbuhan Kepiting Soka serta mempercepat waktu panen. Kegiatan ini diharapkan dapat meningkatkan kesejahteraan masyarakat Desa Pondoknongko melalui pengembangan usaha budidaya Kepiting Soka yang lebih produktif dan berkelanjutan.
YOLOv11-Based Automated PPE Detection System for Workplace Safety Monitoring in Electric Power Distribution Operations Ordrick, Jevon; Wibowo, Galih Hendra; Fahmi, Arif; Kurniawan, Indra; Haq, Endi Sailul
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1379

Abstract

Manual monitoring of Personal Protective Equipment (PPE) compliance in electric power distribution is prone to human error, limited supervision, and geographically dispersed work sites. This study proposes an automated PPE detection system using the YOLOv11 deep learning model to enhance safety monitoring at PT PLN (Persero) UP3 Banyuwangi. A dataset of 589 images containing 1,425 labeled PPE instances across seven categories was used to train the YOLOv11s model. The system was deployed via a web-based application with adjustable detection thresholds and validated through interviews with three OHS supervisors. It achieved 94.0% precision, 90.1% recall, and 92.8% mAP@50, with perfect detection for persons and near-perfect results for full-body harnesses. The application processed images in 2–3 seconds on standard CPU hardware, supporting automated documentation for compliance reporting. This is the first known YOLOv11-based PPE detection system tailored to electric power distribution settings. While results are promising, limitations include a small validation set and lower accuracy in detecting safety boots. Future work should explore real-time video analysis, system integration, and long-term studies on safety compliance improvements.
Co-Authors Agustiningsih, Maulida Dwi Ahmad Afan Zaini Anggra, Fiveriati Catrawedarma, IGNB Endi Sailul Haq Hamdan - Indra Kurniawan Indra Kurniawan Jafar, Andi Muhammad K. Sofjan Firdausi Lanontji, Muryanto Lestari, Putri Catur Ayu Muhyidin Muhyidin Ordrick, Jevon Rohman, M. Fathor Rulianto, Jangka Savitrah, Ravika Mutiara Siti Nurhalimah Sofiyah, Kharisma Ton, Sefri Tri Heru, Ahmanto Wahyu Setia Budi Wibowo, Galih Hendra Yusa, Ahmad Martin