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Perubahan iklim berpotensi meningkatkan risiko penyakit berbasis lingkungan, termasuk diare. Di Indonesia, prevalensi diare balita masih tergolong tinggi, meskipun menurun dari 12,3% (Riskesdas 2018) menjadi 9,8% (SSGI 2020). Kondisi ini menunjukkan adanya faktor lain yang memengaruhi, termasuk parameter iklim yang belum banyak diteliti secara spesifik dalam konteks Indonesia.
Penelitian ini bertujuan untuk mengembangkan model prediksi risiko diare secara komparatif pada dua zona iklim berbeda: monsunal (Nusa Tenggara Barat) dan ekuatorial (Sumatera Barat). Desain penelitian adalah studi ekologi, dengan data sekunder tahun 2017-2021 yang diperoleh dari Kementerian Kesehatan (kasus diare), BPS (akses air minum tidak aman, sanitasi terbatas, higiene terbatas, status ekonomi dan kepadatan penduduk), dan BMKG (suhu udara, kelembapan, curah hujan). Analisis dilakukan menggunakan regresi binomial negatif.
Hasil menunjukkan bahwa curah hujan berhubungan signifikan terhadap kejadian diare di Sumbar (IRR=0,998) dan NTB (IRR=1,002). Suhu udara hanya signifikan di Sumbar (IRR= 0,955), sedangkan kelembapan hanya signifikan di NTB (IRR=0,954). Akses air minum tidak aman dan sanitasi terbatas berhubungan signifikan di kedua provinsi, sedangkan higiene terbatas tidak menunjukkan hubungan signifikan. Tingkat kemiskinan berpengaruh signifikan hanya di NTB (IRR=1,025). Model prediksi menunjukkan performa yang baik, meskipun akurasinya berada pada kategori rendah hingga sedang.
Kesimpulannya, variabilitas iklim berkontribusi terhadap risiko diare dengan pola yang berbeda antarwilayah. Faktor lokal seperti letak geografis, infrastruktur, dan ketersediaan layanan dasar—khususnya akses terhadap air minum aman dan sanitasi layak—memegang peran penting. Diperlukan penguatan kolaborasi lintas sektor dan keterlibatan masyarakat untuk pengendalian diare yang adaptif terhadap perubahan iklim.
Climate change can exacerbate environment-related disease, including diarrhea. In Indonesia, diarrhea prevalence among children under five remains high, although it declined from 12,3% (Basic Health Research, 2018) to 9,8% (National Health Survey, 2020). This indicates the influence of additional factors, including climatic parameters that have not been thoroughly examined in the Indonesian context.
This study developed a comparative diarrhea risk prediction model across two climate zones: monsunal (West Nusa Tenggara) and equatorial (West Sumatera). An ecological design was employed using 2017-2021 secondary data from the Ministry of Health (diarrhea cases), the Central Bureau of Statistics (BPS) (unsafe drinking water access, sanitation, hygiene, economic status, population density), and the Meteorology, Climatology, and Geophysics Agency (BMKG) (temperature, humidity, rainfall). Data were analyzed using negative binomial regression.
Rainfall was significantly associated with diarrhea incidence in both provinces (West Sumatera IRR = 0,998; West Nusa Tenggara IRR = 1,002). Air temperature was significant only in West Sumatera (IRR = 0,955), while humidity was significant only in West Nusa Tenggara (IRR = 0,954). Unsafe water access and poor sanitation were significant in both provinces, whereas hygiene showed no association. Poverty was significant only in West Nusa Tenggara (IRR = 1,025). The model performed well, with accuracy in the low-to-moderate range.
In conclusion, climate variability contributes to diarrhea risk, with distinct patterns across regions. Local factors such as geography, infrastructure, and the availability of basic services— particularly access to safe drinking water and adequate sanitation—play a crucial role. Strengthening cross-sectoral collaboration and community engangement is essential for developing climate-adaptive diarrhea control strategies.
Batam City is the largest contributor to Dengue Hemorrhagic Fever (DHF) cases in the Riau Islands. One of the biggest challenges in the transmission of dengue fever in Batam City is the existence of shophouses and slum areas that are not intended for use (squatters). The aim of this research was to develop a model for controlling dengue fever in shophouses and squatter environments in Batam City. This research was quantitative analytical research with an ecological study approach. The research period started from August 2022 - May 2023. The population and samples for spatial analysis were 44 sub-districts and for statistical tests were 767 dengue fever with 88 samples. The results of the analysis showed that variables which were risk factors include vector density (shophouses: OR=6,2, squatters: OR=11,2), population mobility (shophouses: OR=6,2, squatters: OR=6,5), temperature (shophouses: OR=6,0, squatters: OR=7,3), rainfall (shophouses: OR=6,5, squatters: OR=8,4), humidity (shophouses: OR=7,1, squatters: OR=5,7), and house construction (shophouses: OR=5,0). The output of this research was the GWR model which showed that the variables Squatters Proportion, Temperature, Vector Density and Population Density had a significant effect on the number of dengue fever cases in Batam City (R2=77.13%). The model for controlling dengue fever that can be implemented are dengue management based on niche, including regional regulations requiring arranging used goods around squatters and empowering school children in eradicating larvae.
Pencemaran mikroplastik semakin meningkat setiap tahunnya dan berpotensi menimbulkan risiko kesehatan bagi masyarakat. Kebijakan pemerintah terkait pengelolaan mikroplastik menggunakan model ekonomi sirkular dan model 3R (reduce, reuse, recycle) terus dilaksanakan, namun belum menyelesaikan tantangan di lapangan. Sehingga diperlukan alternatif pengelolaan mikroplastik melalui teknologi degradasi menggunakan mikroorganisme. Penelitian ini bertujuan untuk mengembangkan model bioteknologi degradasi mikroplastik berbasis bakteri indigenous berasal dari Tempat Pembuangan Akhir (TPA) Cipayung Kota Depok.
Penelitian ini merupakan penelitian kuantitatif dengan pendekatan observasional, penilaian risiko kesehatan dan eksperimental. Studi observasional dilakukan untuk mengidentifikasi mikroplastik pada sampel tanah dan air bersih serta mengetahui jenis dan kemampuan isolat bakteri dalam mendegradasi mikroplastik. Pendekatan eksperimental untuk mengembangkan model bioteknologi degradasi mikroplastik berbasis bakteri indigenous.
Hasil penelitian menunjukkan bahwa konsentrasi mikroplastik di tanah TPA Cipayung bervariasi antara 8.400–152.000 partikel/kg, sementara pada air bersih yang dikonsumsi masyarakat berkisar antara 1.889–5.444 partikel/L, dengan variabilitas tingkat risiko kesehatan terkategori Risk Quotient (RQ) > 1. Empat isolat bakteri potensial, yaitu Rummeliibacillus pycnus NBRC 101231, Stenotrophomonas acidaminiphila JCM 13310, Microbacterium arborescens DSM 20754, dan Streptomyces thermolineatus DSM 41451, efektif mendegradasi mikroplastik melalui penurunan berat, perubahan struktur kimia (Fourier Transform Infrared Spectroscopy), serta pembentukan biofilm, lubang dan retakan (Scanning Electron Microscope). Model bioteknologi degradasi mikroplastik dikembangkan dalam bentuk produk liofilisasi biomassa bakteri, menggunakan isolat Rummeliibacillus pycnus NBRC 101231.
Saran yang diajukan adalah perlunya penetapan regulasi batas aman mikroplastik di lingkungan serta mendukung pengembangan bioteknologi degradasi mikroplastik berbasis biomassa bakteri sebagai solusi pengelolaan yang berkelanjutan. Untuk penelitian selanjutnya, diperlukan uji implementasi dan akseptabilitas model bioteknologi ini untuk memastikan efektivitas dan penerimaan di tingkat masyarakat.
Microplastic pollution continues to increase annually, creating potential threats to public health. Government policies related to microplastic management, which rely on circular economy models anda 3R model (reduce, reuse, recycle), are being implemented, but have yet to address the challenges in the field. Therefore, alternative microplastic management strategies that utilize degradation technologies with microorganisms are required. This study aimed to develop a biotechnology model for microplastic degradation based on indigenous bacteria sourced from the Cipacung Landfill, Depok City. This study employed a quantitative approach that combined observational, health risk assessment and experimental methods. Observational study was conducted to identify microplastics in soil and clean water samples, and to determine the types and capabilities of bacterial isolates in degrading microplastics. The experimental approach was applied to develop a biotechnological model for microplastic degradation based on indigenous bacteria.
The study results show that the concentration of microplastics in the soil at the Cipayung Landfill varies between 8.400-152.000 particles/kg, while in clean water consumed by the community, it ranges between 1.889-5.444 particle/L with variability in health risk levels categorized as Risk Quotient (RQ) >1. Four potential bacterial isolates, Rummeliibacillus pycnus NBRC 101231, Stenotrophomonas acidaminiphila JCM 13310, Microbacterium arborescens DSM 20754, and Streptomyces thermolineatus DSM 41451, were effective in degrading microplastics. This was demonstrated through weight reduction, changes in the chemical structure (Fourier Transform Infrared Spectroscopy), and the formation of biofilms, holes, and cracks (Scanning Electron Microscope). Biotechnology model for microplastic degradation was developed in the form of a lyophilized bacterial biomass product, utilizing the isolate Rummeliibacillus pycnus NBRC 101231.
The proposed recommendations include establishing safe limits for microplastics in the environmnent and supporting the development of biotechnology for microplastic degradation based on bacterial biomass as a sustainable management solution. For future research, implementation trials and acceptability assessments of this biotechnology model are needed to ensure its effectiveness and community acceptance.
