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Climate change is a global threat with serious impacts on public health, and Jakarta is one of the most vulnerable areas to its risks. As the frontline of the health system, puskesmas play a crucial role in responding to climate-related health crises. The resilience of puskesmas heavily depends on healthcare personnel and the reliability of their energy systems. However, the extent to which puskesmas are prepared to face climate change challenges remains unclear, given the limited data on their climate resilience. This quantitative descriptive study aims to assess the level of climate resilience in puskesmas across Jakarta in 2025, focusing on the health workforce (including knowledge and capacity, human resources, and risk management) and energy aspects (including efficiency, backup energy, and renewable energy). The findings show that although most health workers have an understanding of climate change and its general impact on the health sector (>70%), technical training and preparedness remain low (<45%). Around 62,5% of puskesmas have established disaster response teams, but only 46,6% have identified staffing needs during crises, and 62,5% lack a rapid recruitment system. Early warning systems are available in only 42% of puskesmas, and just 34% have allocated budgets for climate-related disaster risks. Regarding energy efficiency, 78% of puskesmas have implemented energy-saving measures. Nearly all (93%) have backup energy systems, with 98% reporting regular maintenance. The adoption of renewable energy is still limited, only 19 out of 88 puskesmas (21,6%) currently use solar panels. Among them, most (79%) report that the systems remain functional during disasters, and all conduct routine maintenance. However, among the puskesmas that have not yet adopted renewable energy, only 27% have plans to implement it in the future. These findings highlight the urgent need to strengthen human resource capacity, emergency response systems, and the integration of sustainable energy policies at the puskesmas level.
Kata kunci: demam berdarah dengue (DBD); iklim
Dengue hemorrhagic fever (DHF) in South Jakarta Administration City was fluctuating during 2012 - 2016 and in 2016 the incidence rate (IR) was more than tripled from the previous year. This study aims to determine the relationship between climatic factors (rainfall, humidity, temperature) and population density with the incidence rate (IR) of DHF. This study is a time series ecology study and was analyzed by correlation test. Incidence rate (IR) data was obtained from the South Jakarta District Health Office. Monthly climate data was obtained from the Meteorology, Climatology and Geophysics Department of Jakarta. Population density data was obtained from the Central Statistics Department of DKI Jakarta. The results demonstrate that temperature and population density have no significant correlation with dengue incidence rate (p > 0,05). The incidence rate (IR) had a significant correlation with rainfall (r = 0.384; p = 0.002), humidity (r = 0.496; p = 0,000).
Key words: climate; dengue
Latar Belakang : Kejadian Demam Berdarah Dengue (DBD) hingga saat ini masih menjadi salah satu masalah kesehatan masyarakat di Indonesia, terutama pada daerah perkotaan seperti Kota Administrasi Jakarta Barat. Variabel iklim berupa suhu udara, tingkat kelembaban, serta curah hujan diketahui berhubungan dengan perubahan jumlah kasus DBD karena faktor-faktor tersebut memengaruhi pertumbuhan dan aktivitas nyamuk Aedes spp. sebagai vektor penular penyakit. Kajian ini dilakukan untuk mengetahui hubungan antara faktor iklim yang mencakup suhu udara, kelembaban udara, serta curah hujan terhadap kejadian Demam Berdarah Dengue (DBD) di Kota Administrasi Jakarta Barat selama periode 2016–2025. Metode : Dalam kajian ini digunakan metode kuantitatif dengan rancangan ekologi time series untuk menganalisis data penelitian. Data yang dipakai merupakan data sekunder berupa jumlah kejadian DBD yang diperoleh dari Dinas Kesehatan Provinsi DKI Jakarta, sedangkan data terkait iklim seperti suhu udara, kelembaban udara, serta curah hujan bersumber dari NASA POWER. Teknik analisis yang diterapkan meliputi analisis univariat serta bivariat, dengan pengujian korelasi menggunakan Pearson atau Spearman berdasarkan hasil uji normalitas masing-masing variabel. Hasil : Temuan kajian ini memperlihatkan jika keterkaitan antara faktor iklim berupa suhu udara serta kelembaban udara terhadap kejadian DBD lebih dominan pada Lag 1 dibandingkan Lag 2. Hubungan negatif yang signifikan ditemukan pada tahun 2021 serta 2023. Di sisi lain, faktor iklim curah hujan memperlihatkan hubungan yang lebih kuat pada Lag 2 daripada Lag 1.
Background: Dengue Hemorrhagic Fever (DHF) remains one of the major public health problems in Indonesia, particularly in urban areas such as the Administrative City of West Jakarta. Climate variables, including air temperature, humidity levels, and rainfall, are known to be associated with changes in the number of DHF cases because these factors influence the growth and activity of Aedes spp. mosquitoes as disease vectors. This study was conducted to determine the relationship between climate factors, namely air temperature, air humidity, and rainfall, and the incidence of Dengue Hemorrhagic Fever (DHF) in the Administrative City of West Jakarta during the 2016–2025 period. Methods: This study employed a quantitative method with a time-series ecological design to analyze the research data. The data used were secondary data consisting of the number of DHF cases obtained from the DKI Jakarta Provincial Health Office, while climate-related data such as air temperature, air humidity, and rainfall were sourced from NASA POWER. The analytical techniques applied included univariate and bivariate analyses, with correlation testing using Pearson or Spearman methods based on the normality test results of each variable.Results: The findings of this study indicate that the relationship between climate factors, specifically air temperature and air humidity, and DHF incidence was stronger at Lag 1 compared to Lag 2. Significant negative relationships were identified in 2021 and 2023. Meanwhile, the climate factor of rainfall demonstrated a stronger relationship at Lag 2 than at Lag 1.
