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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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Farhan Adrian; Pembimbing: Ririn Arminsih Wulandari; Penguji: Al Asyary, Didik Supriyono
Abstrak:
Demam berdarah dengue (DBD) adalah penyakit yang seringkali melanda Indonesia dan disebabkan oleh virus dengue dari nyamuk Aedes aegypti yang terinfeksi. Iklim merupakan salah satu faktor yang diketahui dapat mempengaruhi kejadian DBD. Selama tahun 2014-2020, Kabupaten Bogor menjadi wilayah dengan jumlah kasus meninggal akibat DBD tertinggi di Jawa Barat. Penelitian ini bertujuan untuk menganalisis faktor-faktor iklim dengan kejadian DBD di Kabupaten Bogor pada tahun 2017-2021 dengan desain studi ekologi. Hasil penelitian dengan uji korelasi Spearman menunjukkan bahwa faktor kelembaban (r=0,351; p=0,006) dan curah hujan (r=0,258; p=0,046) memiliki hubungan berkekuatan sedang dengan kejadian DBD, sedangkan suhu tidak memiliki hubungan yang signifikan dengan kejadian DBD (p>0,05).
Dengue haemorrhagic fever (DHF) is a disease that frequently affects Indonesia and caused by the dengue virus from infected Aedes aegypti mosquitoes. Climatic factors are known to affect DHF incidence. In 2014-2020, Bogor Regency became the region with the highest DHF deaths in West Java. This study aims to analyze several climatic factors with DHF incidence in Bogor Regency in 2017-2021 using an ecological study design. Using Spearman?s rank correlation coefficient, the results indicate that humidity (r=0,351; p=0,006) and rainfall (r=0,258; p=0,046) have a moderate effect on DHF incidence, while temperature has no effect on DHF incidence (p>0,05).
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Dengue haemorrhagic fever (DHF) is a disease that frequently affects Indonesia and caused by the dengue virus from infected Aedes aegypti mosquitoes. Climatic factors are known to affect DHF incidence. In 2014-2020, Bogor Regency became the region with the highest DHF deaths in West Java. This study aims to analyze several climatic factors with DHF incidence in Bogor Regency in 2017-2021 using an ecological study design. Using Spearman?s rank correlation coefficient, the results indicate that humidity (r=0,351; p=0,006) and rainfall (r=0,258; p=0,046) have a moderate effect on DHF incidence, while temperature has no effect on DHF incidence (p>0,05).
S-11130
Depok : FKM-UI, 2022
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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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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Sri Slamet Mujlyati; Pembimbing: Zakianis; Penguji: Laila Fitria, Muhadi
S-6122
Depok : FKM UI, 2010
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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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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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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Nurul Fathiya Rizqina; Pembimbing: Dewi Susanna; Penguji: Budi Hartono, Aria Kusuma
Abstrak:
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Demam Berdarah Dengue (DBD) di Indonesia menunjukkan pola fluktuatif dan cenderung meningkat setiap tiga tahun. Kota Depok menduduki peringkat 2 kasus DBD tertinggi Jawa Barat. Faktor lingkungan seperti iklim, kepadatan vektor, dan kepadatan penduduk diduga berperan dalam penyebaran penyakit ini. Tujuan dari penelitian ini adalah untuk mengidentifikasi secara spasial keterkaitan antara faktor lingkungan yaitu suhu, curah hujan, kelembaban, ABJ, HI dan kepadatan penduduk dengan kejadian DBD di tiap kecamatan di Kota Depok pada tahun 2022-2024. Penelitian ini merupakan studi ekologi dengan pendekatan spasial. Data sekunder diperoleh dari Dinas Kesehatan Kota Depok, BPS Kota Depok, dan NASA. Analisis spasial dilakukan menggunakan QGIS dan GeoDa untuk menghitung autokorelasi spasial (Moran’s I dan LISA). Hasil dari pemetaan menunjukkan peningkatan kasus DBD signifikan pada tahun 2024. Hasil analisis LISA menunjukkan terdapat pengelompokan spasial antara iklim, vektor, dan kepadatan penduduk dengan kejadian DBD di beberapa wilayah kecamatan. Dapat disimpulkan bahwa terdapat beberapa wilayah yang harus diprioritaskan melakukan pengendalian penyakit.
Dengue Hemorrhagic Fever (DHF) in Indonesia shows a fluctuating pattern and tends to increase every three years. Depok City ranked second in terms of the highest number of DHF cases in West Java. Environmental factors such as climate, vector density, and population density were suspected to play a role in the spread of this disease. This study aimed to spatially identify the association between environmental factors (temperature, rainfall, humidity, House Index [HI], Larvae Free Index [ABJ], and population density) and DHF incidence in each sub-district of Depok City from 2022 to 2024. This study employed an ecological design with a spatial approach. Secondary data were obtained from the Depok City Health Office, the Depok City Statistics Agency, and NASA. Spatial analysis was conducted using QGIS and GeoDa to calculate spatial autocorrelation (Moran's I and LISA). The mapping results showed a significant increase in DHF cases in 2024. LISA analysis indicated spatial clustering among climate factors, vector indices, population density, and DHF incidence in several sub-districts. It was concluded that there were specific areas that should be prioritized for disease control interventions.
Dengue Hemorrhagic Fever (DHF) in Indonesia shows a fluctuating pattern and tends to increase every three years. Depok City ranked second in terms of the highest number of DHF cases in West Java. Environmental factors such as climate, vector density, and population density were suspected to play a role in the spread of this disease. This study aimed to spatially identify the association between environmental factors (temperature, rainfall, humidity, House Index [HI], Larvae Free Index [ABJ], and population density) and DHF incidence in each sub-district of Depok City from 2022 to 2024. This study employed an ecological design with a spatial approach. Secondary data were obtained from the Depok City Health Office, the Depok City Statistics Agency, and NASA. Spatial analysis was conducted using QGIS and GeoDa to calculate spatial autocorrelation (Moran's I and LISA). The mapping results showed a significant increase in DHF cases in 2024. LISA analysis indicated spatial clustering among climate factors, vector indices, population density, and DHF incidence in several sub-districts. It was concluded that there were specific areas that should be prioritized for disease control interventions.
S-12042
Depok : FKM UI, 2025
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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