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All Journal Journal of Public Health Sciences Advances in Tropical Biodiversity and Environmental Sciences
Romy Muhammad Dary Mufa
Udayana University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Dentistry Earth & Planetary Sciences Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Veterinary Other

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Detection of Klebsiella spp. Causing Subclinical Mastitis in Sows on Farms in Puhu Village, Gianyar, Bali Ni Putu Deana Kanaya Sahrani; I Ketut Suada; Ni Nyoman Werdi Susari; Romy Muhammad Dary Mufa
Advances in Tropical Biodiversity and Environmental Sciences Vol. 9 No. 3 (2025): October 2025
Publisher : Institute for Research and Community Services Udayana University (LP2M Universitas Udayana)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/ATBES.2025.v09.i03.p04

Abstract

Subclinical mastitis is a disease that quite often affects sows during lactation without any apparent clinical symptoms, one of which is caused by Klebsiella Spp. The purpose of this study was to determine the quality of pig milk and whether Klebsiella spp. was detected in the pig milk. Thirty-four samples were tested using the California Mastitis Test (CMT) method, and samples positive for subclinical mastitis were further tested using MacConkey media. Additional tests were conducted, including the TSIA biochemical test and microscopic examinations of the growing bacterial isolates, to confirm the bacterial identity. The results of this study showed that 29 out of 34 positive samples had subclinical mastitis with different levels of severity. According to the laboratory results, the presence of Klebsiella spp (85%) bacteria was identified. The results of this study indicate that subclinical mastitis caused by Klebsiella spp remains a significant threat in pig farms in Puhu Village, Payangan Subdistrict, Gianyar Regency, particularly when cage sanitation and management are not optimal. Early detection and improved husbandry systems are needed to prevent similar incidents.  
Designing A Digital-Based Surveillance Information System Prototype for Epidemiological Investigation of Avian Influenza (H5N1) In Bali Province I Gusti Ngurah Agung Surya Pratama; Putu Putri Agustini; I Dewa Agung Ayu Ari Shinta Dewi; I Made Subrata; Ngakan Putu Anom Harjana; Sang Gede Purnama; Romy Muhammad Dary Mufa
Journal of Public Health Sciences Vol. 5 No. 01 (2026): Journal of Public Health Sciences
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.jphs.001222

Abstract

Avian Influenza (AI) is an infectious disease that can attack birds and humans caused by a virus. Until April 2023, the number of human victims infected with AI disease in the world reached 874 people (confirmed AI cases), with 458 of them dying (CFR = 52%). Health Surveillance is a systematic and continuous observation activity of data and information about the incidence of disease or health problems and conditions that influence the increase and transmission of disease or health problems. The aim of the research is to design a digital-based AI epidemiological surveillance system in Bali Province. The research design used in this research is a research and development (R&D) approach with a prototyping development model. Acceptance tests were carried out on 130 surveillance officers with the PSSUQ questionnaire. The results obtained were in the form of a prototype AI epidemiological investigation information system application with acceptance test results regarding system quality (2.37), information quality (2.43), and the overall system (2.37) showing very good results. Meanwhile, acceptance of the quality of the design or appearance of the prototype is in the good category (2.37). This value is classified based on the norm scale of the PSSUQ questionnaire. Conclusion: Therefore, this AI epidemiological investigation surveillance information system is worthy of further development.
Co-Authors I Dewa Agung Ayu Ari Shinta Dewi I Gusti Ngurah Agung Surya Pratama I Ketut Suada I Made Subrata Ngakan Putu Anom Harjana Ni Nyoman Werdi Susari Ni Putu Deana Kanaya Sahrani Putu Putri Agustini Sang Gede Purnama