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All Journal EMITTER International Journal of Engineering Technology Jurnal Terapan Abdimas E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal of Economic, Bussines and Accounting (COSTING) Journal of Information Systems and Informatics Abdimasku : Jurnal Pengabdian Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Bakti Budaya: Jurnal Pengabdian kepada Masyarakat Archive: Jurnal Pengabdian Kepada Masyarakat Jikom: Jurnal Informatika dan Komputer Jurnal Pengabdian dan Pemberdayaan Banyuwangi
Wibowo, Galih Hendra
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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.
Penguatan Layanan Informasi dan Laporan Masyarakat di Desa Kalirejo melalui Implementasi Chatbot WhatsApp Terintegrasi Sistem Dashboard Hakim, Lutfi; Kristanto, Sepyan Purnama; Wibowo, Galih Hendra
Archive: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2026): Juni 2026
Publisher : Asosiasi Pengelola Publikasi Ilmiah Perguruan Tinggi PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/arch.v5i2.272

Abstract

Latar Belakang: Desa Kalirejo menghadapi permasalahan dalam pelayanan publik, khususnya terkait dengan sistem informasi dan laporan keluhan masyarakat yang masih bersifat konvensional, sehingga menyebabkan layanan informasi belum bisa optimal sampai ke masyarakat dan data laporan tidak terintegrasi dan sulit dimonitor. Tujuan: Tujuan dari program ini adalah melakukan penguatan layanan informasi dan laporan masyarakat melalui implementasi sistem perpesanan WhatsApp berbasis Chatbot yang terintegrasi dengan sistem Dashboard berbasis web. Metode: Pendekatan Participatory Action Research digunakan pada program ini yang menempatkan mitra sebagai subjek aktif dalam setiap tahap kegiatan yang meliputi 5 tahapan kegiatan mulai dari tahapan identifikasi dan pemetaan masalah sampai dengan evaluasi dan monitoring. Hasil: SI KARJO dapat diimplementasikan dengan baik dan mitra mampu mengoperasikannya secara mandiri melalui pendampingan berkelanjutan. Kesimpulan: Program ini mendapatkan apresiasi positif dengan skor survey kepuasan mitra sebesar 95,82%.
STRATEGI MENUJU KESEJAHTERAAN SUMBER DAYA: EKSPLORASI JIWA KEWIRAUSAHAAN PADA ANAK ASUH PANTI ASUHAN Sari, Mega Devita; Ayatullah, Mohamad Dimyati; Wibowo, Galih Hendra
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 6 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/na2qkn68

Abstract

Penelitian ini bertujuan untuk mengeksplorasi bagaiamana jiwa kewirausahaan muncul dalam anak asuh Panti Asuhan. Melalui metode penelitian kualitatif dan pendekatan fenomenologi, peneliti telah melakukan observasi dan wawancara terhadap anak asuh dan pengelola Panti Asuhan Husnul Khotimah. Hasil penelitian menunjukkan bahwa semangat kewirausahaan mulai terbentuk dengan munculnya Self-Efficacy yang dijadikan sebagai basis motivasi serta semangat dalam diri terkait keyakinan serta ketetapan hati untuk memiliki jiwa kewirausahaan. Implikasi dari penelitian ini menekankan pentingnya pendidikan kewiurahaan sebagai upaya untuk meningkatkan kualitas sumberdaya yang didukung oleh tenaga pengajar yang mumpuni dibidangnya. Selain itu, wirausaha dapat menjadi alteratif dalam berkarir di masa mendatang, ketika mereka sudah tidak tinggal di Panti Asuhan.
Javanese Character Feature Extraction Based on Shape Energy Wibowo, Galih Hendra; Sigit, Riyanto; Barakbah, Aliridho
EMITTER International Journal of Engineering Technology Vol 5 No 1 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1490.315 KB) | DOI: 10.24003/emitter.v5i1.175

Abstract

Javanese character is one of Indonesia's noble culture, especially in Java. However, the number of Javanese people who are able to read the letter has decreased so that there need to be conservation efforts in the form of a system that is able to recognize the characters. One solution to these problem lies in Optical Character Recognition (OCR) studies, where one of its heaviest points lies in feature extraction which is to distinguish each character. Shape Energy is one of feature extraction method with the basic idea of how the character can be distinguished simply through its skeleton. Based on the basic idea, then the development of feature extraction is done based on its components to produce an angular histogram with various variations of multiples angle. Furthermore, the performance test of this method and its basic method is performed in Javanese character dataset, which has been obtained from various images, is 240 data with 19 labels by using K-Nearest Neighbors as its classification method. Performance values were obtained based on the accuracy which is generated through the Cross-Validation process of 80.83% in the angular histogram with an angle of 20 degrees, 23% better than Shape Energy. In addition, other test results show that this method is able to recognize rotated character with the lowest performance value of 86% at 180-degree rotation and the highest performance value of 96.97% at 90-degree rotation. It can be concluded that this method is able to improve the performance of Shape Energy in the form of recognition of Javanese characters as well as robust to the rotation.
Co-Authors Aditiya, Angger Mahkota Al Haris, Muhammad Fuad Ali Ridho Barakbah Arif Fahmi Ayatullah, Mohamad Dimyati Ayu Wanda Febrian, Ayu Wanda Dianni Yusuf Endi Sailul Haq Farizqi Panduardi Ferdiansyah, Erik Indira Nuansa Ratri Indra Kurniawan Khoirul Umam Kusumawati, Nunik Dwi Liliyanti, Mita Ayu Lutfi Hakim Lutfi Hakim Mahasin, Muhammad Sholah Ordrick, Jevon Pangestu, Yoga Prasetyo, Junaedi Adi Priyadi, Dwi Ahmad Putra, Ravi Pratama Rifqi, Eriz Rini, Eka Mistiko Riyanto Sigit, Riyanto Sari, Mega Devita Sepyan Purnama Kristanto Suardinata, I Wayan Subono, Subono Suwardiyanto, Devit Suwardiyanto, Devit Suwardiyanto Syahputra, Galang Budi Wardhana, I Wayan Frico Ari