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Contact Name
Hoiruddin Fathurohman
Contact Email
rifainstitute@gmail.com
Phone
+6285157680377
Journal Mail Official
rifainstitute@gmail.com
Editorial Address
Perum Derwati Mas Jl. Derwati Mas, No.20 Rancasari, Ciwastra - Bandung
Location
Kota bandung,
Jawa barat
INDONESIA
KESANS : International Journal of Health and Science
Published by Cv.Rifainstitut
ISSN : 28087380     EISSN : 28087178     DOI : https://doi.org/10.54543/kesans.v1i1.2
Core Subject : Health, Science,
KESANS : International Journal of Health and Science provides a means for ongoing discussion of the relevant issues that fall within the focus and scope of the journal that can be examined empirically. This journal publishes research articles in the medicine, Nursing, Midwifery, Public Health, Health Technology, Occupational Health and Safety, Pharmacy, and physiotherapy. Articles published are the results of research, studies or scientific studies on important and current issues or scientific book reviews.
Articles 472 Documents
Occupational Noise Exposure in Open-Pit Coal Mining: Implications for Auditory Health, Safety Risks, and the Need for Real-Time Monitoring Adenan, Adenan; Yamin, Imam Syahputra
Jurnal KESANS : Kesehatan dan Sains Vol 5 No 4 (2026): KESANS: International Journal of Health and Science
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/kesans.v5i4.562

Abstract

Introduction: Noise is a dominant physical hazard in the mining industry that is often overlooked, despite its significant impact on auditory health and occupational safety risks, including fatigue and accidents. Objective: This study aims to identify the profile of noise exposure, analyze its impact on workers' hearing function and safety risks, and formulate optimal control strategies at a major coal mining services company. Methods: A descriptive observational case study was conducted in August 2025 at critical operational areas (Pit Road and Workshop). Primary data were collected using a calibrated Sound Level Meter referring to SNI 7231:2009 standards, while secondary data were obtained from workers' audiometric Medical Check-Up (MCU) results. Results and Discussion: Measurements indicated that 80% of sample points exceeded the Threshold Limit Value (85 dBA), with the highest intensity reaching 98 dBA in the Workshop area. MCU analysis revealed a prevalence of hearing impairment indications of 35% among operators with a service period of >5 years. High noise levels were also identified as potential factors reducing vigilance and hindering operational communication. Conclusion: Current administrative controls and the use of Personal Protective Equipment (PPE) are insufficient in reducing risks. The study recommends a transition towards technology-based continuous noise monitoring (IoT) and the integration of health data for more proactive OHS risk management
Spatial Clustering and Hotspot Analysis of Dengue Fever in West Java Province, 2020–2024 Mardhiyah, Lailatul; Suhartono, Suhartono; Raharjo, Mursid; Wahyuningsih, Nur Endah; Sulistiyani, Sulistiyani
Jurnal KESANS : Kesehatan dan Sains Vol 5 No 4 (2026): KESANS: International Journal of Health and Science
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/kesans.v5i4.563

Abstract

Introduction: Dengue fever, a vector-borne disease caused by the dengue virus (DENV) and transmitted by Aedes aegypti and Aedes albopictus mosquitoes, has become a major public health problem in West Java, Indonesia. Objective: This study aimed to map high-risk zones of dengue fever in West Java from 2020 to 2024 using spatial analysis techniques. Method: The study used confirmed dengue case data obtained from the West Java Health Profile and applied ArcMap version 10.5 for spatial mapping and analysis, including Global Moran’s Index, Getis-Ord Gi*, Local Indicators of Spatial Association (LISA), and hotspot analysis. Result and Discussion: The results showed a shift in the spatial distribution pattern of dengue cases from random in 2020 to significantly clustered in subsequent years. LISA analysis consistently identified high-high clusters in Bandung Regency, Bandung City, Bogor Regency, Bogor City, Depok City, and Bekasi City, indicating persistent spatial hotspots. Getis-Ord Gi* analysis further confirmed these hotspots with varying levels of statistical significance throughout the study period. Conclusion: These findings indicate the presence of endemic pockets and underscore the need for targeted public health interventions in high-risk areas. This study highlights the value of spatial analysis in understanding disease patterns and in informing evidence-based dengue control strategies in West Java.

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