Ditemukan 11834 dokumen yang sesuai dengan query :: Simpan CSV
Penelitian ini dilakukan di DKI Jakarta bulan April 2012 dengan menggunakan desain ekologi. Data yang digunakan adalah data sekunder dari hasil rekapitulasi jumlah penderita diare perbulan perwilayah selama tahun 2007 ? 2011 di DKI Jakarta. Data ditampilkan secara visualisasi trend berdasarkan tempat dan waktu serta dianalisis secara statistik untuk melihat hubungan antar variabel dependen dan independen. Kasus diare perbulan tertinggi di DKI Jakarta bulan Februari 2007 sebesar 33.511 penderita, kasus diare pertahun perwilayah tertinggi di wilayah IV (Wilayah Kotamadya Jakarta Selatan dan Jakarta Timur) 2010 sebesar 87.355 penderita. Rata-rata suhu udara perbulan tertinggi bulan April 2010 sebesar 29.20C, curah hujan tertinggi bulan Februari 2007 sebesar 673.5 mm, kelembaban tertinggi bulan Februari 2008 sebesar 86%, kecepatan angin bulan Maret sebesar 6.5 knot. Ada hubungan signifikan suhu udara dengan kasus diare (p value 0.0005) dan hubungan sedang (r = -0.319), berpola negatif, ada hubungan signifikan curah hujan dengan kasus diare (p value 0.0005) dan hubungan sedang (r = 0.273) berpola positif, Ada hubungan signifikan kelembaban dengan kasus diare (p value 0.0005) dan hubungan sedang (r = 0.340) berpola positif, Ada hubungan signifikan kecepatan angin dengan kasus diare (p value 0.0005) dan hubungan kuat (r = -0.569) berpola negatif. Faktor iklim yang paling dominan yaitu curah hujan. Saran penelitian yaitu menyediakan sumber air bersih untuk dikonsumsi baik pada saat musim hujan ataupun musim kemarau, Dinas Kebersihan DKI Jakarta harus mengelola sampah dengan baik, pembuatan taman kota atau penanaman kembali pohon-pohon di DKI Jakarta, perlu adanya kerjasama lintas program antara Dinas Kesehatan Provinsi DKI Jakarta, BMKG, PAM, ormas, tokoh masyarakat, civitas akademika dalam memanfaatkan data variasi iklim untuk mencegah terjadinya ledakan kasus (KLB) diare di masa yang akan datang, menjaga Perilaku Hidup Bersih Sehat (PHBS), makan yang baik dan bersih, istirahat yang cukup serta senantiasa melakukan Cuci Tangan Pakai Sabun (CTPS), perlu dilakukan intervensi dalam aspek SPAL (Saluran Pembuangan Air Limbah) ataupun pembuangan sampah yang teratur, jangan membuang sampah sembarangan.
This study was conducted in DKI Jakarta on April 2012 by using ecology desain. Data was used secondary data from result of summary of diarrhoea patient of sub-district per-month during year 2007 - 2011 in DKI Jakarta. Data presented visualizinged trend pursuant to time and place and also analysed statistically to see correlated between variable dependent and independent. Highest Diarrhoea case per-month in DKI Jakarta on Februari 2007 is 33.511 patient, highest area per-year diarrhoea case in region IV ( Regional south of Jakarta and east of Jakarta ) 2010 is 87.355 patient. Highest mean Temperature on April 2010 is 29.20C, highest mean rainfall on Februari 2007 is 673.5 mm, highest mean humidity on Februari 2008 is 86%, wind?s on March month is to 6.5 knot. There is significant correlations of temperature with diarrhoea case (p value 0.0005) and medium correlations (r = - 0.319), have negative pattern, there is significant correlations rainfall with diarrhoea case (p value 0.0005) and medium correlations (r = 0.273) have positive pattern, There is significant correlations humidity with diarrhoea case (p value 0.0005) and medium correlations (r = 0.340) have positive pattern, There is significant correlations wind?s speed with diarrhoea case (p value 0.0005) and strong correlations (r = - 0.569) have negative pattern. the most dominant climate factor that is rainfall. Research suggestion that is providing the source of clean and hygiene water to be consumed at the rains and or dry season, sanitary department of state DKI Jakarta have to manage garbage better, making town garden or cultivation tree in DKI Jakarta, need the existence of cooperation program among Public Health Service Provinsi DKI Jakarta, BMKG, PAM, NGO, elite figure, civitas academica in exploiting climate variation data to prevent of diarrhoea case explosion (KLB) in the future, taking care of Healthy and Clean life Behavior (PHBS), eat non contaminated and good food, good and clean hand wash with Soap (CTPS), require to intervence in SPAL aspect (segregate system) and regular garbage disposal, good garbage management program.
The diarrhea occurrences become one of the major causes of child mortality inIndonesia. The purpose of this research is to determine the impact of Climate orWeather Changes (temperature, humidity, and rainfall) with the pattern ofdiarrhea occurrences at Puskesmas Jatimakmur. Bekasi is one of the major citiesin West Java province, and has the highest number of diarrhea occurrences whichreach 14.044 cases (Dinkes Bekasi, 2012).This research applied secondary data obtained from the Annual Report ofPuskesmas Jatimakmur in 2013-2014. While another secondary data obtainedfrom BMKG Halim Perdana Kusuma Airport Station. It requires the ecologicaldesign study and linear regression analysis to determine the impact oftemperature, humidity, and rainfall patterns into diarrhea occurrences.This research found that the temperature, humidity, and rainfall in Jatimakmursub-district do not have significant relation (Temperature R value= 0.082,humidity R= 0.283 and rainfall R= 0.070) with diarrhea cases. However, the effectof 0.7%, 8%, and 0.5% can explain which elevating in 1◦C temperature willincrease 4.2% diarrhea cases, 1% humidity will increase 2.3% diarrhea cases, and1 mm of rainfall will increase 0.01% diarrhea cases in the period of 2013-2014.Key words:Diarrhea, Temporal Cycle, Temperature, Humidity, Rainfall, Jatimakmur.
Both climate change and air pollution are major environmental drivers affecting health, including morbidity due to cardiovascular disease. This research aims to investigate the correlation of temperature as one of the parameters of Urban Heat Island and PM2.5 concentration on the incidence of cardiovascular disease in Special Region of Jakarta within 2020 – 2024. This research adopts an ecological study design and time trend study analysis. The results from the analysis suggest that the maximum temperature has a weak and not significant correlation with the incidence of cardiovascular disease (r = -0,224; p = 0,086), whereass PM2.5 has a definite medium strength with negative relationship (r = -0,455; p <0,05). This suggest that an increase in PM2.5 concentration tends to be associatied with the decrease in the incidence of cardiovascular disease, but the association should be studied further based on other influencing factors like the incidence of COVID-19. This study emphasizes the importance of air quality control in efforts to prevent cardiovascular disease in dense urban areas.