Claim Missing Document
Check
Articles

Found 14 Documents
Search

Identifikasi Keselamatan dan Kesehatan Kerja dengan Metode Job Safety Analysis (JSA) di Industri Bengkel Farisna, Semarang Ismi Elya Wirdati; Annisa Nur Utami; Lutfi Muzaqi; Izzatul Alifah Sifai
Jurnal Kesehatan Amanah Vol. 8 No. 1 (2024): Jurnal Kesehatan Amanah
Publisher : Universitas Muhammadiyah Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57214/jka.v8i1.724

Abstract

Hazard identification and risk assessment in the Farisna workshop are classified based on the work performed. The use of machinery, equipment, supporting materials, workshop environment, and mechanical work procedures can be a source of potential hazards for workers in the workshop, therefore it is necessary to evaluate health in the Farisna workshop to prevent the risk of harm. This study aims to determine the planning and evaluation of occupational health in the engineering sector in the Farisna workshop. This research method is descriptive qualitative. Using total sampling technique. Data collection by observation with research instruments using JSA or Job Safety forms. The results of this study indicate that of the 7 work activities in the workshop there are 5 activities with medium or medium risk, and there are 2 high risk or high. Medium risks such as being crushed and crushed by heat stress montors, heat disorders, slipping and skin irritation, skin blisters, scratches and punctures, back pain. While the high risk of work activities in the workshop is exposed to explosions, burns, skin irritation, and respiratory problems. Prevention to avoid the risk of work in the workshop should be when working using PPE, doing work carefully, and putting tools in place, and providing fire extinguishers to prevent accidents.
An Explainable Multimodal Framework for Chest X-Ray Alert Classification Using Radiology Reports and Images Edy Winarno; Indah Manfaati Nur; Abdul Karim; Saeful Amri; Ismi Elya Wirdati; Prajanto Wahyu Adi
Journal of Computing Theories and Applications Vol. 3 No. 4 (2026): JCTA 3(4) 2026
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.16023

Abstract

Artificial intelligence has the potential to support radiology workflows by assisting in the identification of cases that may require additional clinical attention. However, alert-oriented medical AI systems should provide not only classification outputs but also interpretable evidence that can be reviewed and audited by clinicians. This study develops and evaluates an explainable multimodal framework for binary chest X-ray alert classification using paired radiology reports and chest X-ray images. The text branch employs TF-IDF n-gram features with a class-balanced Logistic Regression classifier, while the image branch fine-tunes a pretrained ResNet18 model. The two branches are integrated through probability-level late fusion using a validation-selected fusion weight. Explainability is implemented in a modality-specific manner: global coefficient analysis is used to identify influential textual cues, while Grad-CAM heatmaps are used to visualize salient image regions. Experiments were conducted on paired samples from the Open-i/IU X-Ray dataset using text-only, image-only, and fusion-based evaluation settings. Additional analyses include case-level complementarity analysis, bootstrap confidence intervals for ROC-AUC, shortcut-feature inspection, and qualitative Grad-CAM auditing. The results indicate that the text modality provides the dominant predictive signal under the current proxy-label setting. Late fusion produced a small descriptive improvement on the test set, increasing accuracy from 0.8533 to 0.8667, F1-score from 0.8817 to 0.8936, and ROC-AUC from 0.8936 to 0.9025 compared with the text-only baseline. However, the observed ROC-AUC improvement was not statistically conclusive based on bootstrap analysis. These findings suggest that the proposed framework is useful as a reproducible and auditable multimodal prototype, while also highlighting important limitations, including proxy-label ambiguity, potential label leakage from radiology reports, limited image-branch contribution, lack of external validation, and the need for stronger explanation and calibration assessment.
Analisis Risiko Keselamatan dan Kesehatan Kerja pada Aktivitas Penggunaan Fungisida oleh Petani Bawang Merah Tradisional Lutfi Muzaqi; Zulfa Ayuningsih; Maria Estela Karolina; Irman Syahrul Ardiansyah; Ismi Elya Wirdati; Kartika Dian Pertiwi; Sohaib Akram; Fajrul Falakh
Pro Health Jurnal Ilmiah Kesehatan Vol. 8 No. 2 (2026): Vol. 8 No. 2 (2026): Pro Health Jurnal Ilmiah Kesehatan, July 2026
Publisher : Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRAK Penggunaan fungisida pada budidaya bawang merah merupakan aktivitas penting untuk mengendalikan penyakit tanaman, tetapi proses penentuan area kerja, pencampuran, penyemprotan, pengaturan tekanan, pengelolaan residu, dan dekontaminasi pekerja berpotensi menimbulkan pajanan kimia, kecelakaan kerja, dan pencemaran lingkungan. Penelitian ini bertujuan menganalisis bahaya, risiko, dan pengendalian penggunaan fungisida pada petani bawang merah menggunakan pendekatan Job Safety Analysis (JSA). Penelitian ini merupakan analisis deskriptif berbasis dokumen terhadap formulir Job Safety Analysis (JSA), yang dipilih karena mampu mengidentifikasi bahaya dan pengendalian risiko secara sistematis pada setiap tahapan kerja, penggunaan fungisida pada lahan bawang merah.. Dokumen yang dianalisis adalah formulir JSA penggunaan fungisida pada petani bawang merah. Unit analisis mencakup 13 tahapan kerja, kategori H/S/E, uraian bahaya, risiko, rekomendasi pengendalian, dan status implementasi pengendalian. Hasil analisis menunjukkan bahwa 13 tahapan kerja memiliki kombinasi risiko kesehatan, keselamatan, dan lingkungan. Kategori H/E ditemukan pada 5 tahapan, H/S/E pada 4 tahapan, S/E pada 3 tahapan, dan H/S pada 1 tahapan. Risiko utama meliputi pajanan kulit, mata, dan pernapasan; keracunan akut; terpeleset; semburan balik; drift; limpasan; fitotoksisitas; pencemaran tanah dan air; serta kontaminasi rumah tangga pasca kerja. Seluruh 13 pengendalian masih berstatus belum terverifikasi. JSA menunjukkan bahwa pengendalian fungisida harus dilakukan sebagai sistem kerja lengkap, mulai dari perencanaan hingga dekontaminasi, dengan verifikasi pengendalian sebelum pekerjaan dimulai. Hasil penelitian ini dapat menjadi dasar penyusunan Standar Operasional Prosedur (SOP) penggunaan fungisida yang aman serta pengembangan pelatihan K3 bagi petani bawang merah.. Kata kunci: Paparan Fungisida, Job Safety Analysis, Kesehatan Kerja, Petani, Penilaian Risiko Kerja ABSTRACT Fungicide application in shallot farming is essential for plant-disease control, yet area selection, mixing, spraying, pressure adjustment, residue handling, and worker decontamination may generate chemical exposure, occupational incidents, and environmental contamination. This study aimed to analyze hazards, risks, and control measures in shallot fungicide use using a Job Safety Analysis (JSA) approach.  This study employed a descriptive document-based analysis of Job Safety Analysis (JSA) forms, which were selected because they enable the systematic identification of hazards and risk control measures at each stage of fungicide application in shallot farming. The documents analyzed were JSA forms regarding fungicide use by shallot farmers. The analysis covered 13 work steps, H/S/E categories, hazard descriptions, risk descriptions, recommended controls, and control-implementation status.  The analysis showed that all 13 work steps contained combined health, safety, and environmental risks. H/E risks appeared in 5 steps, H/S/E in 4 steps, S/E in 3 steps, and H/S in 1 step. The main risks included skin, eye, and respiratory exposure; acute poisoning; slipping; back spray; drift; runoff; phytotoxicity; soil and water contamination; and household contamination after work. All 13 control measures remained unverified in the reviewed form.  JSA indicates that fungicide safety must be managed as a complete work system, from planning to decontamination, with verified control measures before field application begins. The findings of this study can serve as a basis for developing standard operating procedures (SOPs) for the safe use of fungicides and occupational health and safety (OHS) training programs for shallot farmers. Keywords: Fungicide Expoxure, Job Safety Analysis, Occupational Health, Farmers, Occupational Risk Assassment
Pemetaan Bahaya Keselamatan dan Kesehatan pada Kegiatan Penyemprotan Gulmamenggunakan Job Safety Analysis Zulfa Ayuningsih; Lutfi Muzaqi; Eko Farida; Kartika Dian Pertiwi; Ismi Elya Wirdati; Cong Yoke Ming
Indonesian Journal of Public Health and Nutrition Vol. 6 No. 1 (2026)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ijphn.v6i1.49370

Abstract

Latar Belakang: Penyemprotan gulma pada pertanian tradisional dapat menimbulkan bahaya kimia, fisik, ergonomi,keselamatan, dan lingkungan. Berbeda dari penyemprotan pestisida secara umum, penyemprotan gulma biasanya dilakukan dekat permukaan tanah, di antara tanaman non-target, saluran air, permukaan lahan tidak rata, dan kondisi angin yang berubah. Penelitian ini bertujuan mengidentifikasi bahaya keselamatan dan kesehatan kerja pada penyemprotan gulma menggunakan pendekatan Job Safety Analysis (JSA) yang berbasis tahapan kerja.Metode: Penelitian deskriptif berbasis observasi lapangan ini dilakukan di area pertanian tradisional Desa Tegalwulung, Brebes, pada April–Mei 2026. Unit analisis adalah satu siklus lengkap pekerjaan penyemprotan gulma yang terdokumentasi dalam formulir JSA nomor 1/JSA/PBW/2026. Data diperoleh melalui observasi langsung, konfirmasi tim kerja, dan telaah dokumen. Setiap tahapan kerja diklasifikasikan ke dalam aspek kesehatan, keselamatan, dan lingkungan, kemudian diprioritaskan menggunakan matriks kualitatif keparahan–kemungkinan.Hasil: Terdapat 13 tahapan kerja, mulai dari penentuan area penyemprotan hingga pelepasan APD dan pembersihan diri. Bahaya utama meliputi drift herbisida, tumpahan dan percikan, cuaca tidak aman, permukaan tidak rata, kebocoran selang, kerusakan nozzle, beban tangki berlebih, semprotan balik, air bilasan terkontaminasi, serta APD dan kemasan terkontaminasi. Bahaya lingkungan muncul pada 11 tahapan, bahaya kesehatan pada 10 tahapan, dan bahaya keselamatan pada 8 tahapan. Status pada formulir JSA awal menunjukkan bahwa beberapa pengendalian belum sepenuhnya diterapkan atau terverifikasi, sehingga pengendalian yang direkomendasikan dipisahkan dari status pengendalian yang ada.Kesimpulan: Penelitian ini menghasilkan peta bahaya praktis berbasis JSA untuk penyemprotan gulma dan memberikan kebaruan dengan membedakan karakteristik bahaya penyemprotan gulma dari penyemprotan pestisida secara umum. Temuan ini dapat menjadi dasar penyusunan prosedur kerja aman yang kontekstual pada pertanian tradisional