Published: 2024-04-01

Rancang Bangun Aplikasi Deteksi Alat Pelindung Diri (APD) untuk Pekerja Proyek dengan Menggunakan Algoritma Yolov5

DOI: 10.35870/jtik.v8i2.1960

Muhamad Alfin Taufiqurrochman, Herny Februariyanti
  • Muhamad Alfin Taufiqurrochman: Universitas Stikubank , Indonesia . image/svg+xml
  • Herny Februariyanti: Universitas Stikubank , Indonesia . image/svg+xml
Issue Cover

Downloads

Article Metrics
Share:

Abstract

The risk of work accidents that can be experienced by project workers is very high in the world of construction. This can be caused by behavioral factors, one of which is project workers' indiscipline in wearing Personal Protective Equipment (PPE), which can endanger the personal safety of project workers. By utilizing Artificial Intelligence technology, with the computer vision domain, researchers created a PPE detection application using the YoloV5 algorithm. The stage of creating this detection application starts from the process of problem scoping, data acquisition, data exploration, modeling, evaluation and deployment. The dataset used in making this application was taken from Saravana Alagar via Google Drive, covering 4 PPE objects, namely helmets, masks, vests and shoes. By conducting a training dataset of 100 epochs, the percentage results given were very good, namely helmets 96%, vests 96%, masks 95%, and shoes 92%. It is hoped that making this application can minimize cases of work accidents that occur in the project worker area and can increase discipline in using project PPE

Keywords

Personal Protective Equipment ; Artificial Intelligence ; Computer Vision ; Yolov5

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

How to Cite

Taufiqurrochman, M. A., & Februariyanti, H. . (2024). Rancang Bangun Aplikasi Deteksi Alat Pelindung Diri (APD) untuk Pekerja Proyek dengan Menggunakan Algoritma Yolov5. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 8(2), 471-480. https://doi.org/10.35870/jtik.v8i2.1960
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 8 No. 2 (2024)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2024

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers
Scholarly Connection Platforms
Dimensions Dimensions Connected Papers Connected Papers Scite Scite Google Scholar Google Scholar Semantic Scholar Semantic Scholar Garuda Garuda Scilit Scilit Crossref Crossref BASE BASE Zenodo Zenodo Unpaywall Unpaywall OpenCitations OpenCitations
Author Biographies
Muhamad Alfin Taufiqurrochman
Google Scholar ResearchGate ORCID

Program Studi Sistem Informasi, Fakultas Teknologi Informasi dan Industri, Universitas Stikubank, Kota Semarang, Provinsi Jawa Tengah, Indonesia

Herny Februariyanti
Google Scholar ResearchGate ORCID

Program Studi Sistem Informasi, Fakultas Teknologi Informasi dan Industri, Universitas Stikubank, Kota Semarang, Provinsi Jawa Tengah, Indonesia

References
  • Azizah, D. N., Pulungan, R. M., Utari, D., & Amrullah, A. A. (2021). Faktor-Faktor yang Berhubungan dengan Kepatuhan Menggunakan Alat Pelindung Diri (APD) pada Pekerja Proyek Pembangunan PLTGU Muara Tawar (Persero). Jurnal Ilmiah Kesehatan Masyarakat: Media Komunikasi Komunitas Kesehatan Masyarakat, 13(3), 141-150.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Sofyan, M. T. (2023). Hubungan Alat Pelindung Diri Terhadap Kecelakaan Kerja; Literature Riview. JOURNAL SCIENTIFIC OF MANDALIKA (JSM) e-ISSN 2745-5955| p-ISSN 2809-0543, 4(5), 71-75. DOI: https://doi.org/10.36312/10.36312/vol4iss5pp71-75.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • JAYANTI, U., ALI, H., REFLIS, R., RAMDHON, M., UTAMA, S., ADEKO, R., ... & SISWAHYONO, S. (2023). ANALISIS PENGGUNAAN ALAT PELINDUNG DIRI DAN KECELAKAAN KERJA PADA PEKERJA PABRIK KELAPA SAWIT DI PT. PALMA MAS SEJATI KABUPATEN BENGKULU TENGAH. Journal of Nursing and Public Health, 11(1), 272-278. DOI: https://doi.org/10.37676/jnph.v11i1.4138.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Adi, Y. K., & Kushartomo, W. (2023). Analisis Penerapan Keselamatan Dan Kesehatan Kerja (K3) Pada Proyek X Di Jakarta Pusat. Jmts: Jurnal Mitra Teknik Sipil, 589-594.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Djaohar, M., & Sunawar, A. (2022). RANCANG BANGUN PENGECEKAN ALAT PELINDUNG DIRI MENGGUNAKAN ALGORITMA YOU ONLY LOOK ONCE (YOLO). Journal of Electrical Vocational Education and Technology, 7(1), 12-18.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Susanti, S., Aulia, S., & Irawati, I. D. (2023). Deteksi Helm Otomatis Untuk Keselamatan Kerja di Tempat Proyek Berbasis Yolo. eProceedings of Applied Science, 9(1).
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Mailoa, R. M., & Santoso, L. W. (2022). Deteksi Rompi dan Helm Keselamatan Menggunakan Metode YOLO dan CNN. Jurnal Infra, 10(2), 49-55.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Nurfirmansyah, A., & Dijaya, R. (2022, August). DETEKSI KELALAIAN ALAT PELINDUNG DIRI (APD) PADA PEKERJA KONTRUKSI BANGUNAN. In Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) (Vol. 6, No. 1, pp. 058-063). DOI: https://doi.org/10.29407/inotek.v6i1.2452.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Ashar, M. H., & Suarna, D. (2022). Implementasi Algoritma YOLOv5 dalam Mendeteksi Penggunaan Masker Pada Kantor Biro Umum Gubernur Sulawesi Barat. KLIK: Kajian Ilmiah Informatika dan Komputer, 3(3), 298-302. DOI: https://doi.org/10.30865/klik.v3i3.559.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Riva, L. S., & Jayanta, J. (2023). Deteksi Penyakit Tanaman Cabai Menggunakan Algoritma YOLOv5 Dengan Variasi Pembagian Data. Jurnal Informatika: Jurnal Pengembangan IT, 8(3), 248-254. DOI: https://doi.org/10.30591/jpit.v8i3.5679.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Asmara, R. A., Samudra, M. R., & Wibowo, D. W. (2022). Identifikasi Person Pada Game First Person Shooter (Fps) Menggunakan Yolo Object Detection Dan Diimplementasikan Sebagai Agent Cerdas Automatic Target Hit. Jurnal Teknik Ilmu Dan Aplikasi, 3(2), 174-178.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Guntara, R. G. (2023). Pemanfaatan Google Colab Untuk Aplikasi Pendeteksian Masker Wajah Menggunakan Algoritma Deep Learning YOLOv7. Jurnal Teknologi Dan Sistem Informasi Bisnis, 5(1), 55-60. DOI: https://doi.org/10.47233/jteksis.v5i1.750.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Widharma, I. G. S., Santiary, P. A. W., Sunaya, I. N., Darminta, I. K., Sangka, I. G. N., & Widiatmika, P. A. W. (2022). Deteksi api kebakaran berbasis computer vision dengan algoritma YOLO. Journal of Applied Mechanical Engineering and Green Technology, 3(2), 53-58. DOI: https://doi.org/10.31940/jametech.v3i2.53-58.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Liunanda, C. N., Rostianingsih, S., & Purbowo, A. N. (2020). Implementasi Algoritma YOLO pada Aplikasi Pendeteksi Senjata Tajam di Android. Jurnal Infra, 8(2), 235-241.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Adinata, Y., Gunadi, K., & Sugiarto, I. (2022). Aplikasi Deteksi Jumlah Orang pada Area Indoor Untuk Mendukung Pelaksanaan PPKM dengan Metode YOLO. Jurnal Infra, 10(1), 129-135.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Indaryanto, F., Nugroho, A., & Suni, A. F. (2021). Aplikasi Penghitung Jarak dan Jumlah Orang Berbasis YOLO Sebagai Protokol Kesehatan Covid-19. Edu Komputika Journal, 8(1), 31-38. DOI: https://doi.org/10.15294/edukomputika.v8i1.47837.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Prasanta, M. R., Pranata, M. Y., Firnanda, M. A., & Sendari, S. (2022). Rancang Bangun Quadcopter Drone Untuk Deteksi Api Menggunakan YOLOv4. CYCLOTRON, 5(1). DOI: https://doi.org/10.30651/cl.v5i1.10013.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
License & Copyright
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

1. Copyright Retention and Open Access License

Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

2. Rights Granted Under CC BY 4.0

Under this license, readers are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material for any purpose, including commercial use
  • No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed

3. Attribution Requirements

All uses must include:

  • Proper citation of the original work
  • Link to the Creative Commons license
  • Indication if changes were made to the original work
  • No suggestion that the licensor endorses the user or their use

4. Additional Distribution Rights

Authors may:

  • Deposit the published version in institutional repositories
  • Share through academic social networks
  • Include in books, monographs, or other publications
  • Post on personal or institutional websites

Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.

5. Self-Archiving and Pre-Print Sharing

Authors are encouraged to:

  • Share pre-prints and post-prints online
  • Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
  • Engage in scholarly communication throughout the publication process

6. Open Access Commitment

This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.

Downloads

Similar Articles

You may also start an advanced similarity search for this article.