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Afifah Azharadipta; Pembimbing: Budi Haryanto; Penguji: Laila Fitria, Nurusysyarifah Aliyyah
Abstrak:
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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.
S-12247
Depok : FKM-UI, 2026
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Ikha Purwandari Andari; Pembimbing: Budi Haryanto; Penguji: Ririn Arminsih Wulandari, Beben Saiful Bahri
S-6112
Depok : FKM UI, 2010
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Sri Gusni Febriasari; Pembimbing: Dewi Susanna; Penguji: Sri Tjahjani Budi Utami, Suwitno
S-6534
Depok : FKM UI, 2011
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Putri Rizki Amelia; Pembimbing: R. Budi Haryanto; Penguji: Dewi Susanna, Agus Handito
Abstrak:
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Latar Belakang: Demam Berdarah Dengue (DBD) merupakan penyakit endemik di seluruh wilayah tropis dan sebagian wilayah subtropic yang disebabkan oleh virus dengue. Penyakit DBD juga merupakan salah satu masalah utama kesehatan masyarakat di Indonesia dan Jakarta barat memiliki jumlah kasus tertinggi pertama dan kedua di Provinsi DKI Jakarta pada beberapa tahun terakhir. Tujuan: Menganalisis hubungan faktor iklim (curah hujan, suhu udara, dan kelembaban udara), kepadatan penduduk, dan angka bebas jentik dengan incidence rate DBD di Kota Administrasi Jakarta Barat tahun 2013-2022. Metode: Penelitian ini menggunakan desain studi ekologi dengan analisis korelasi untuk melihat hubungan antara faktor iklim yang meliputi curah hujan, suhu udara, kelembaban udara pada time lag 1 dan time lag 2 serta kepadatan penduduk dengan Incidence Rate DBD. Hasil: Hasil analisis bivariat dengan uji korelasi menunjukkan bahwa hubungan yang signifikan lebih berpengaruh pada curah hujan time lag 2, suhu udara time lag 2 dan kelembaban time lag 2. Variabel lainnya yaitu kepadatan penduduk memiliki hubungan signifikan pada tahun 2014, 2015, 2017, 2019, 2020, dan 2021. Hasil uji regresi linear ganda menghasilkan bentuk model prediksi dengan persamaan IR DBD = -160,665 + 3,763 (suhu) + 1, 033 (kelembaman) - 0,102 (curah hujan) - 0,001 (kepadatan penduduk). jika disimulasikan dengan kombinasi suhu sebesar 26,1°C, kelembaman 82,9%, curah hujan 14,9 mm, dan kepadatan penduduk sebesar 20.000 maka kejadian IR DBD akan muncul sebanyak 2,39 kasus per 100.000 penduduk.
Background: Dengue Hemorrhagic Fever (DHF) is an endemic disease throughout the tropics and parts of the subtropics caused by the dengue virus. Dengue fever is also one of the main public health problems in Indonesia and West Jakarta has the first and second highest number of cases in DKI Jakarta Province in recent years. Objective: Analyzing the relationship between climate factors (rainfall, air temperature, and humidity), population density, and larvae-free rates with DHF incidence rates in West Jakarta Administrative City in 2013-2022 Methods: This study uses an ecological study design with correlation analysis to see the relationship between climatic factors which include rainfall, air temperature, air humidity in time lag 1 and time lag 2 and population density with DHF Incidence Rate Results: The results of the bivariate analysis with the correlation test show that a significant relationship has more influence on rainfall time lag 2, air temperature time lag 2 and humidity time lag 2. Another variable, namely population density, has a significant relationship in 2014, 2015, 2017, 2019, 2020, and 2021. The results of the multiple linear regression test produce a predictive model with the DHF IR equation = -160.665 + 3.763 (temperature) + 1.033 (inertia) - 0.102 (rainfall) - 0.001 (population density). if simulated with a combination of temperature of 26.1°C, humidity of 82.9%, rainfall of 14.9 mm, and a population density of 20,000, the incidence of IR DHF will occur as many as 2.39 cases per 100,000 population.
S-11309
Depok : FKM-UI, 2023
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Novia Astarina Simangunsong; Pembimbing: Rachmadi Purnawan; Penguji: Carolina Rusdy Akib
Abstrak:
Demam berdarah dengue di Kota Administrasi Jakarta Selatan mengalami fluktuasi selama 5 tahun terakhir dan pada tahun 2016 angka insiden naik lebih dari 3 kali lipat dari tahun sebelumnya. Penelitian ini bertujuan untuk mengetahui hubungan antara faktor iklim (curah hujan, kelembaban, suhu) dan kepadatan penduduk dengan angka insiden DBD. Studi ini merupakan studi ekologi time series dan dianalisis dengan uji korelasi. Data angka insiden DBD diperoleh dari Suku Dinas Kesehatan Jakarta Selatan. Data iklim bulanan diperoleh dari Badan Meteorologi, Klimatologi dan Geofisika Jakarta. Data kepadatan penduduk diperoleh dari Badan Pusat Statistika DKI Jakarta. Hasil penelitian menyatakan bahwa suhu dan kepadatan penduduk tidak memiliki hubungan bermakna dengan angka insiden DBD (p > 0,05). Angka insiden DBD memiliki hubungan yang bermakna dengan curah hujan (r = 0,384 ; p = 0,002), kelembaban (r = 0,496 ; p = 0,000).
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
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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
S-9418
Depok : FKM UI, 2017
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Gilang Delia Revorina; Pembimbing: Ririn Arminsih Wulandari; Penguji: Al Asyary, Yulia Fitria Ningrum
Abstrak:
Dengue Haemorrhagic Fever (DHF) is an infectious disease transmitted by Aedes aegypti and Aedes albopictus mosquitoes who infected with dengue virus. DHF have been affecting more than 100 tropical and sub-tropical countries in the world. Around 1.8 billion (more than 70%) of the population at risk of dengue fever worldwide live in countries of Southeast Asia and the Western Pacific Region, including Indonesia. In 2016, DKI Jakarta was assigned the status of outbreak of DHF, with a total of 22,697 cases and an incidence rate (IR) of 220.8 per 100,000 population. West Jakarta is one of the regions with the highest DHF incidence rate compared to other cities in DKI Jakarta. This study aims to determine the spatial analysis of the incidence of dengue in West Jakarta in 2015-2019 by considering several factors such as demographics, climate, and larval free index. This study uses an ecological study with a spatial analysis approach and correlation analysis to see the strength of the relationship between the incidence of DHF with factors of population density, climate, and larvae free index. Spatially the incidence of DHF tends to occur in areas with high density and low larvae free index. Statistically, correlation analysis shows that there is a significant relationship between population density, air humidity, and rainfall with the incidence of DHF. Meanwhile, there is no significant correlation between the air temperature and larvae free index with the incidence of DHF in West Jakarta. Result shows that from 56 urban villages in West Jakarta, there are 53 urban villages that are categorized as high vulnerability, and 3 urban villages categorized as medium vulnerability. The high problem of dengue cases in West Jakarta makes the authorities should increase efforts or planning and optimize community empowerment in eradicating dengue cases. Keywords: Dengue Haemorrhagic Fever (DHF), Population Density, Climate, Larvae Free Index, Spatial Analysis.
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Demam berdarah dengue (DBD) merupakan penyakit menular yang sebabkan oleh gigitan nyamuk Aedes aegypti dan Aedes albopictus yang terinfeksi virus dengue dari penderita kepada orang lain. Penyakit ini endemik lebih dari 100 negara beriklim tropis dan sub tropis di belahan dunia. Sekitar 1,8 miliar (lebih dari 70%) dari populasi yang berisiko terkena demam berdarah di seluruh dunia tinggal di negara-negara Asia Tenggara dan Wilayah Pasifik Barat, salah satunya Indonesia. Pada tahun 2016, DKI Jakarta ditetapkan status Kejadian Luar Biasa (KLB) penyakit DBD, dengan jumlah penderita sebanyak 22.697 kasus dan Incidence Rate (IR) sebesar 220.8 per 100.000 penduduk. Kota Jakarta Barat menjadi salah satu wilayah dengan tingkat kejadian DBD tertinggi dibandingkan dengan kota lain di DKI Jakarta. Penelitian ini bertujuan untuk mengetahui analisis spasial kejadian DBD di Kota Jakarta Barat tahun 2015-2019 dengan mempertimbangkan beberapa faktor seperti demografi, iklim, dan angka bebas jentik. Desain studi yang digunakan pada penelitian ini yaitu studi ekologi dengan pendekatan analisis spasial dan analisis korelasi untuk melihat kekuatan hubungan antara kejadian DBD dengan faktor kepadatan penduduk, iklim, dan angka bebas jentik. Secara spasial kejadian DBD cenderung terjadi di wilayah dengan tingkat kepadatan tinggi dan ABJ rendah. Secara statistik, analisis korelasi menunjukkan terdapat hubungan yang signifikan antara kepadatan penduduk, kelembanam udara, dan curah hujan dengan kejadian DBD. Sedangkan suhu udara dan angka bebas jentik menunjukkan tidak adanya hubungan yang signifikan terhadap kejadian DBD di Kota Jakarta Barat. Dari 56 kelurahan di Jakarta Barat, terdapat 53 kelurahan yang tergolong tingkat kerawanan tinggi, dan 3 kelurahan tergolong kategori kerawanan sedang terjadinya kasus DBD. Tingginya masalah kasus DBD di Jakarta Barat membuat Dinas Kesehatan sebaiknya meningkatkan upaya atau perencanaan serta optimalisasi pemberdayaan masyarakat dalam pemberantasan kasus DBD.
Kata kunci: Demam Berdarah Dengue (DBD), Kepadatan Penduduk, Iklim, ABJ, Analisis Spasial. Dengue Haemorrhagic Fever (DHF) is an infectious disease transmitted by Aedes aegypti and Aedes albopictus mosquitoes who infected with dengue virus. DHF have been affecting more than 100 tropical and sub-tropical countries in the world. Around 1.8 billion (more than 70%) of the population at risk of dengue fever worldwide live in countries of Southeast Asia and the Western Pacific Region, including Indonesia. In 2016, DKI Jakarta was assigned the status of outbreak of DHF, with a total of 22,697 cases and an incidence rate (IR) of 220.8 per 100,000 population. West Jakarta is one of the regions with the highest DHF incidence rate compared to other cities in DKI Jakarta. This study aims to determine the spatial analysis of the incidence of dengue in West Jakarta in 2015-2019 by considering several factors such as demographics, climate, and larval free index. This study uses an ecological study with a spatial analysis approach and correlation analysis to see the strength of the relationship between the incidence of DHF with factors of population density, climate, and larvae free index. Spatially the incidence of DHF tends to occur in areas with high density and low larvae free index. Statistically, correlation analysis shows that there is a significant relationship between population density, air humidity, and rainfall with the incidence of DHF. Meanwhile, there is no significant correlation between the air temperature and larvae free index with the incidence of DHF in West Jakarta. Result shows that from 56 urban villages in West Jakarta, there are 53 urban villages that are categorized as high vulnerability, and 3 urban villages categorized as medium vulnerability. The high problem of dengue cases in West Jakarta makes the authorities should increase efforts or planning and optimize community empowerment in eradicating dengue cases. Keywords: Dengue Haemorrhagic Fever (DHF), Population Density, Climate, Larvae Free Index, Spatial Analysis.
S-10273
Depok : FKM UI, 2020
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Cassey Engeliq; Pembimbing: Budi Haryanto; Penguji: Laila Fitria, Fajar Nugraha
Abstrak:
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Latar Belakang: Demam Berdarah Dengue (DBD) merupakan penyakit yang disebabkan oleh virus dengue dan ditularkan melalui vektor nyamuk Aedes sp. Penyakit DBD menjadi salah satu penyakit yang relatif meningkat dalam dekade terakhir terkhusus pada wilayah Kota Jakarta Timur. Tujuan: Penelitian ini bertujuan untuk mengetahui dan menganalisis hubungan antara faktor iklim dengan kejadian penyakit Demam Berdarah Dengue (DBD) di wilayah Jakarta Timur pada periode tahun 2016-2025. Metode: Penelitian ini menggunakan desain studi ekologi berdasarkan waktu, yaitu ecological time trend study dengan populasi penelitian adalah seluruh masyarakat wilayah Jakarta Timur yang menderita DBD dan terdata pada Surveilans Epidemiologi dan Imunisasi Dinas Kesehatan Jakarta. Hasil: hasil analisi bivariat dengan uji korelasi menunjukkan bahwa hubungan yang signifikan secara statistik (p>0,05) dominan terjadi pada kelembapan udara terhadap kejadian penyakit DBD time lag 1 dan time lag 0. Sementara itu, hubungan yang signifikan secara statistik pada variabel suhu terjadi pada tahun 2020 (time lag 0) dan 2023 (time lag 0 dan time lag 1), serta hubungan yang signifikan secara statistik untuk variabel curah hujan terjadi pada tahun 2019 (time lag 1) dan 2020 (time lag 0 dan time lag 1). Hubungan faktor iklim terhadap kejadian DBD di Kota Administrasi Jakarta Timur cenderung bervariasi setiap tahunnya dan tidak seluruh variabel iklim memiliki hubungan yang signifikan secara statistik. Upaya penanggulangan dan pencegahan DBD perlu disesuaikan secara lebih adaptif terhadap dinamika kondisi cuaca dan penduduk, serta karakteristik wilayah agar pengendalian kasus DBD dapat dilakukan secara efektif.
Background: Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus and transmitted through Aedes spp. mosquitoes. DHF has become one of the diseases that has relatively increased over the last decade, particularly in the East Jakarta Administrative City area. Objective: This study aimed to determine and analyze the relationship between climate factors and the incidence of Dengue Hemorrhagic Fever (DHF) in East Jakarta during the 2016–2025 period. Methods: This study used an ecological time-trend study design. The study population consisted of all people in East Jakarta diagnosed with DHF and recorded in the Epidemiological Surveillance and Immunization database of the Jakarta Health Office. Results: The results of the bivariate analysis using correlation tests showed that statistically significant relationships (p < 0.05) predominantly occurred between air humidity and DHF incidence at time lag 0 and time lag 1. Meanwhile, statistically significant relationships for temperature were found in 2020 (time lag 0) and 2023 (time lag 0 and time lag 1). Statistically significant relationships for rainfall were identified in 2019 (time lag 1) and 2020 (time lag 0 and time lag 1). The relationship between climatic factors and DHF incidence in the East Jakarta Administrative City tended to vary annually, and not all climatic variables showed statistically significant associations. Therefore, DHF prevention and control efforts need to be adapted more responsively to weather dynamics, population conditions, and regional characteristics in order to improve the effectiveness of DHF case control.
S-12255
Depok : FKM-UI, 2026
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Pratiwi Handayani; Pembimbing: Agustin Kusumayati; Penguji: Ema Hermawati, Winarno
S-7357
Depok : FKM UI, 2012
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Cindy Alicia; Pembimbing: Rachmadhi Purwana; Penguji: Dewi Susanna, Rahmawati
S-6393
Depok : FKM UI, 2011
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Khalisa Zahra Khairunnisa; Pembimbing: Budi Haryanto; Penguji: Laila Fitria, Aria Kusuma
Abstrak:
Latar Belakang: Demam Berdarah Dengua (DBD) adalah infeksi virus yang ditularkan ke manusia melalui gigitan nyamuk yang terinfeksi. Vektor utama yang menularkan virus Dengue adalah Aedes aegypti, dan Aedes albopictus. Kota dengan jumlah kejadian DBD tertinggi di Indonesia pada tahun 2021 adalah Kota Depok sebesar 3.155 kasus dengan angka Incidence Rate (IR) 151,2 kasus per 100.000 penduduk. Selama 10 tahun terakhir sejak tahun 2012-2020, trend kasus DBD di Kota Depok cenderung meningkat. Tujuan: Mengetahui hubungan antara faktor iklim dan kepadatan penduduk dengan kejadian DBD di Kota Depok tahun 2012-2021. Metode: Penelitian ini menggunakan studi ekologi dengan analisis korelasi untuk melihat hubungan antara faktor iklim (suhu, kelembaban, dan curah hujan) pada bulan yang sama (non-time lag), faktor iklim dengan jeda 1 bulan (time lag 1), dan kepadatan penduduk dengan Incidence Rate DBD. Hasil: Hasil analisis korelasi menujukkan bahwa terdapat hubungan yang signifikan antara kelembaban non time lag dan kelembaban time lag 1 dengan Incidence Rate DBD (p=0,000 dan p=0,000) dengan kekuatan hubungan sedang berpola positif (r=0,332 dan r-0,451). Hasil uji regresi linear ganda menghasilkan bentuk model prediksi dengan persamaan IR DBD = -47.353 + 0.784 (Suhu) + 0.394 (Kelembapan) + 0.023 (Curah Hujan). Berdasarkan hasil persamaan regresi, jika disimulasikan dengan kombinasi suhu 26,1 oC, kelembaban 82,9%, dan curah hujan 14,9 mm, maka akan terjadi peningkatan IR DBD sebanyak 10 kasus per 100.000 penduduk.
Background: Dengue Hemorrhagic Fever (DHF) is a viral infection transmitted to humans through the bite of an infected mosquito. The main vectors that transmit the dengue virus are Aedes aegypti and Aedes albopictus. The city with the highest number of dengue cases in Indonesia in 2021 is Depok City with 3,155 cases with an Incidence Rate (IR) of 151.2 cases per 100,000 population. During the last 10 years from 2012-2020, the trend of dengue cases in Depok City tends to increase. Objective: To determine the relationship between climatic factors and population density with the incidence of DHF in Depok City in 2012-2021. Methods: This study uses an ecological study with correlation analysis to see the relationship between climatic factors (temperature, humidity, and rainfall) in the same month (non-time lag), climatic factors with a 1-month lag (time lag 1), and density population with DHF Incidence Rate. Results: The correlation analysis results showed a significant relationship between non-time lag humidity and time lag 1 humidity with DHF Incidence Rate (p = 0.000 and p = 0.000) with the strength of the relationship being positive (r = 0.332 and r-0.451). The results of the multiple linear regression test produce a predictive model with the equation IR DBD = -47.353 + 0.784 (Temperature) + 0.394 (Relative Humidity) + 0.023 (Rainfall). Based on the results of the regression equation, if it is simulated with a combination of the temperature of 26,1oC, humidity of 82.9%, and rainfall of 14.9 mm, there will be an increase in IR of DHF by 10 cases per 100,000 population.
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Background: Dengue Hemorrhagic Fever (DHF) is a viral infection transmitted to humans through the bite of an infected mosquito. The main vectors that transmit the dengue virus are Aedes aegypti and Aedes albopictus. The city with the highest number of dengue cases in Indonesia in 2021 is Depok City with 3,155 cases with an Incidence Rate (IR) of 151.2 cases per 100,000 population. During the last 10 years from 2012-2020, the trend of dengue cases in Depok City tends to increase. Objective: To determine the relationship between climatic factors and population density with the incidence of DHF in Depok City in 2012-2021. Methods: This study uses an ecological study with correlation analysis to see the relationship between climatic factors (temperature, humidity, and rainfall) in the same month (non-time lag), climatic factors with a 1-month lag (time lag 1), and density population with DHF Incidence Rate. Results: The correlation analysis results showed a significant relationship between non-time lag humidity and time lag 1 humidity with DHF Incidence Rate (p = 0.000 and p = 0.000) with the strength of the relationship being positive (r = 0.332 and r-0.451). The results of the multiple linear regression test produce a predictive model with the equation IR DBD = -47.353 + 0.784 (Temperature) + 0.394 (Relative Humidity) + 0.023 (Rainfall). Based on the results of the regression equation, if it is simulated with a combination of the temperature of 26,1oC, humidity of 82.9%, and rainfall of 14.9 mm, there will be an increase in IR of DHF by 10 cases per 100,000 population.
S-11054
Depok : FKMUI, 2022
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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