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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
☉
Virli Andani Harnelis; Pembimbing: Al Asyary; Penguji: Dewi Susanna, La Ode Ahmad Saktiansyah
Abstrak:
Demam berdarah dengue (DBD) ditularkan melalui gigitan nyamuk Aedes aegepty dan Aedes albopictus betina yang terinfeksi virus dengue (DENV). Selama masa pandemi COVID-19, jumlah kasus DBD di dunia internasional maupun nasional mengalami penurunan, begitupun Kota Jakarta Timur. Kendati demikian, Kota Jakarta Timur merupakan kota dengan kasus DBD tertinggi di Provinsi DKI Jakarta. Penelitian ini bertujuan untuk menganalisis faktor iklim dengan jeda waktu 0 (non-time lag), 1 (time lag 1), dan 2 (time lag 2) bulan, kepadatan penduduk, dan angka bebas jentik (ABJ) dengan kejadian DBD di Kota Jakarta Timur pada saat sebelum dan selama masa pandemi COVID-19 tahun 2018-2021. Data dianalisis menggunakan uji beda ≥ 2 rata-rata, uji korelasi, dan analisis spasial. Secara statistik, terdapat perbedaan rata-rata incidence rate (IR) DBD dan ABJ yang signifikan antara tahun 2018-2021 (p = 0,000; p = 0,011). Selain itu uji korelasi menunjukkan adanya hubungan yang signifikan antara curah hujan time lag 1 (p = 0,002; r = 0,041) dan time lag 2 (p =0,000; r = 0,651), suhu udara time lag 1 (p = 0,004; r = -0,441), dan time lag 2 (p = 0,001; r = -0,48), serta kelembaban udara non time lag (p = 0,002; r = 0,429), time lag 1 (p = 0,000; r = 0,668), dan time lag 2 (p = 0,000; r = 0,699) dengan kejadian DBD. Secara spasial maupun statistik tidak ditemukan adanya hubungan yang signifikan antara kepadatan penduduk dan ABJ dengan kejadian DBD. Pemetaan tingkat kerawanan kejadian DBD pada saat sebelum dan selama pandemi COVID-19, menunjukkan bahwa dari 10 kecamatan yang ada di Kota Jakarta Timur, 1 kecamatan mengalami peningkatan tingkat kerawanan menjadi sedang dan 2 kecamatan mengalami penurunan tingkat kerawanan menjadi rendah. Kecamatan Matraman tergolong pada tingkat kerawanan tinggi. Kecamatan Jatinegara, Duren Sawit, Kramatjati, dan Ciracas tergolong pada tingkat kerawanan sedang. 5 Kecamatan lainnya tergolong pada tingkat kerawanan rendah. Adanya perbedaan rata-rata yang signifikan pada ABJ dan IR DBD, hubungan antara faktor iklim dengan kejadian DBD, serta tingkat kerawanan yang tinggi pada beberapa wilayah, sebaiknya dijadikan pertimbangan oleh pemerintah setempat untuk meningkatkan upaya pencegahan DBD dan menyusun rencana strategis dalam pengendalian DBD.
Dengue hemorrhagic fever (DHF) is transmitted by Aedes aegypti and Aedes albopictus mosquitoes infected with the dengue virus (DENV). During the COVID-19 pandemic, the number of dengue cases internationally and nationally decreased, as did the City of East Jakarta. Thus, East Jakarta City is the city with the highest dengue cases in DKI Jakarta Province. This study aims to analyze climate factors at time lag of 0 (non-time lag), 1 (time lag 1), and 2 (time lag 2) months, population density, and larva free index (LFI) with the incidence of DHF in the city of Jakarta. East before and during the 2018-2021 COVID-19 pandemic. The data were analyzed using the average difference test, correlation test, and spatial analysis. Statistically, there is a significant difference in the average incidence rate (IR) of DHF and LFI between 2018-2021 (p = 0.000; p = 0.011). In addition, the correlation test showed a significant relationship between rainfall at time lag 1 (p = 0.002; r = 0.041) and time lag 2 (p = 0.000; r = 0.651), air temperature at time lag 1 (p = 0.004; r = -0.441), and time lag 2 (p = 0.001; r = -0.48), as well as non-time lag air humidity (p = 0.002; r = 0.429), time lag 1 (p = 0.000; r = 0.668), and time lag 2 (p = 0.000; r = 0.699) with the incidence of DHF. Spatial and statistically, there was no significant relationship between population density and LFI with the incidence of DHF. Mapping the level of vulnerability to DHF events before and during the COVID-19 pandemic, shows that of the 10 sub-districts in East Jakarta City, 1 sub-district experienced an increase in the level of vulnerability to moderate and 2 sub-districts experienced a decrease in the level of vulnerability to low. Matraman sub-districts are classified as high vulnerability. Jatinegara, Duren Sawit, Kramatjati, and Ciracas sub-districts are classified as moderate vulnerability. The other 5 sub-districts are classified as low vulnerability. The existence of significant differences in the average ABJ and IR of DHF, the relationship between climatic factors and the incidence of DHF, as well as the high level of vulnerability in some areas, should be considered by the local government to increase efforts to prevent DHF and develop a strategic plan in controlling DHF.
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Dengue hemorrhagic fever (DHF) is transmitted by Aedes aegypti and Aedes albopictus mosquitoes infected with the dengue virus (DENV). During the COVID-19 pandemic, the number of dengue cases internationally and nationally decreased, as did the City of East Jakarta. Thus, East Jakarta City is the city with the highest dengue cases in DKI Jakarta Province. This study aims to analyze climate factors at time lag of 0 (non-time lag), 1 (time lag 1), and 2 (time lag 2) months, population density, and larva free index (LFI) with the incidence of DHF in the city of Jakarta. East before and during the 2018-2021 COVID-19 pandemic. The data were analyzed using the average difference test, correlation test, and spatial analysis. Statistically, there is a significant difference in the average incidence rate (IR) of DHF and LFI between 2018-2021 (p = 0.000; p = 0.011). In addition, the correlation test showed a significant relationship between rainfall at time lag 1 (p = 0.002; r = 0.041) and time lag 2 (p = 0.000; r = 0.651), air temperature at time lag 1 (p = 0.004; r = -0.441), and time lag 2 (p = 0.001; r = -0.48), as well as non-time lag air humidity (p = 0.002; r = 0.429), time lag 1 (p = 0.000; r = 0.668), and time lag 2 (p = 0.000; r = 0.699) with the incidence of DHF. Spatial and statistically, there was no significant relationship between population density and LFI with the incidence of DHF. Mapping the level of vulnerability to DHF events before and during the COVID-19 pandemic, shows that of the 10 sub-districts in East Jakarta City, 1 sub-district experienced an increase in the level of vulnerability to moderate and 2 sub-districts experienced a decrease in the level of vulnerability to low. Matraman sub-districts are classified as high vulnerability. Jatinegara, Duren Sawit, Kramatjati, and Ciracas sub-districts are classified as moderate vulnerability. The other 5 sub-districts are classified as low vulnerability. The existence of significant differences in the average ABJ and IR of DHF, the relationship between climatic factors and the incidence of DHF, as well as the high level of vulnerability in some areas, should be considered by the local government to increase efforts to prevent DHF and develop a strategic plan in controlling DHF.
S-11026
Depok : FKMUI, 2022
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
Yuri Shizcha Amelinda; Pembimbing: Ririn Arminsih Wulandari; Penguji: Al Asyary, Yulia Fitria Ningrum
Abstrak:
Desain studi yang digunakan pada penelitian ini yaitu studi ekologi dengan pendekatan analisis korelasi untuk melihat kekuatan hubungan antara faktor iklim pada bulan yang sama (non-time lag), factor iklim dengan jeda 1 bulan (time lag 1), faktor iklim dengan jeda 2 bulan (time lag 2), kepadatan penduduk, dan kepadatan vektor dengan Incidence Rate DBD. Secara statistik, analisis korelasi menunjukkan terdapat hubungan yang signifikan antara curah hujan non-time lag, time lag 1, dan time lag 2, suhu udara time lag 2, kelembaban udara non-time lag, time lag 1, dan time lag 2, kepadatan penduduk, dan angka bebas jentik dengan Incidence Rate DBD.
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S-10613
Depok : FKM UI, 2021
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
☉
Yanti Herawati; Pembimbing: Suyud; Penguji: Budi Hartono, Didik Supriyono
Abstrak:
Jumlah kasus Demam Berdarah Dengue (DBD) tidak pernah menurun di beberapa daerah tropik dan subtropik bahkan cenderung terus meningkat dan banyak menimbulkan kematian pada anak. Di Indonesia, DBD telah menjadi masalah kesehatan masyarakat selama 45 tahun terakhir. Beberapa faktor yang berisiko terhadap terjadinya penularan dan semakin berkembangnya penyakit DBD antaralain kepadatan penduduk dan variabilitas iklim. Penelitian ini bertujuan untukmengetahui hubungan antara kepadatan penduduk dan faktor iklim dengan kejadian DBD di Kota Bogor tahun 2010-2013. Penelitian ini adalah penelitian kuantitatif dengan desain ekologi. Pengukuran faktor iklim meliputi suhu,kelembaban dan curah hujan. Data yang dikumpulkan meliputi data sekunder kepadatan penduduk, faktor iklim dan jumlah kasus DBD. Hasil penelitian ini menunjukkan bahwa ada hubungan yang bermakna antara kelembaban (p=0,001)dengan kejadian DBD di Kota Bogor tahun 2010-2013. Sedangkan untuk kepadatan penduduk (p= 0,143), suhu (p= 0,236) dan curah hujan (p= 0,314) tidak terdapat hubungan yang signifikan dengan kejadian DBD.
Kata kunci : Demam Berdarah Dengue, faktor iklim, kepadatan penduduk, KotaBogor
The number of cases of Dengue Hemorrhagic Fever (DHF) have never decreasedin some tropical and subtropical regions and even tends to increase and causemany death in children. In Indonesia, DHF has become a public health problemduring the last 45 years. Some of the risk factors to the occurrence of infectionand the development of DHF include population density and climatic factors. Thisstudy aim to determine correlation between population density and climaticfactors in the incidence of DHF in Bogor City in 2010-2013. This study is aquantitative study with ecology design.Measurement of climatic factors includes temperature, humidity and rainfall. Thedata collected included secondary data population density, climatic factors and thenumber of DHF cases. The results of this study indicate that there is a significantcorrelation between humidity and DHF incidence in Bogor City in 2010-2013.Meanwhile, for population density, temperature and rainfall there is no significantcorrelation with the incidence of DHF.
Keywords: Dengue Hemorrhagic Fever climatic factors, population density,Bogor City
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Kata kunci : Demam Berdarah Dengue, faktor iklim, kepadatan penduduk, KotaBogor
The number of cases of Dengue Hemorrhagic Fever (DHF) have never decreasedin some tropical and subtropical regions and even tends to increase and causemany death in children. In Indonesia, DHF has become a public health problemduring the last 45 years. Some of the risk factors to the occurrence of infectionand the development of DHF include population density and climatic factors. Thisstudy aim to determine correlation between population density and climaticfactors in the incidence of DHF in Bogor City in 2010-2013. This study is aquantitative study with ecology design.Measurement of climatic factors includes temperature, humidity and rainfall. Thedata collected included secondary data population density, climatic factors and thenumber of DHF cases. The results of this study indicate that there is a significantcorrelation between humidity and DHF incidence in Bogor City in 2010-2013.Meanwhile, for population density, temperature and rainfall there is no significantcorrelation with the incidence of DHF.
Keywords: Dengue Hemorrhagic Fever climatic factors, population density,Bogor City
S-8171
Depok : FKM UI, 2014
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
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
☉
Afifah Zahra; Pembimbing: R. Budi Haryanto; Penguji: Laila Fitria, Maryati Kasiman
Abstrak:
Melihat data 2014 hingga 2016 yang dimiliki oleh puskesmas Cilandak, trend kasus DBD di Kecamatan Cilandak cenderung meningkat pada bulan Januari hingga Mei, mulai turun ketika bulan juni dan titik terendahnya pada bulan Desember. Trend kasus tersebut selalu sama terjadi di setiap tahunnya ini menimbulkan ketertarikan penulis untuk meneliti terkait faktor iklim, faktor kepadatan vektor yang dilihat dari angka bebas jentik (ABJ), dan faktor kepadatan penduduk. Penelitian ini bertujuan untuk menganalisis hubungan faktor iklim (suhu udara, kelembaban, dan curah hujan), faktor kepadatan vektor (angka ABJ), dan kepadatan penduduk dengan angka incidence rate DBD di Kecamatan Cilandak Tahun 2010-2019. Jenis data yang diambil adalah data sekunder. Data incidence rate DBD, dan angka ABJ didapatkan dari laporan tahunan Puskesmas Kecamatan Cilandak. Data mengenai kepadatan penduduk didapatkan dari Badan Pusat Statistik. Data terkait iklim didapat dari BMKG. Hubungan akan dianalisis menggunakan uji pearson product moment. Hasil analisis bivariat menunjukkan bahwa secara keseluruhan tahun 2010-2019, curah hujan dan kelembaban memiliki hubungan dengan IR DBD di Kecamatan Cilandak (p=0,029, r=0,685).
Kata Kunci : Iklim, Kepadatan penduduk, ABJ, angka insiden, DBD, Kecamatan Cilandak.
Looking at the 2014 to 2016 data held by the Cilandak puskesmas, the trend of dengue cases in Cilandak sub-district tends to increase in January to May, starting to fall when June and its lowest point in December. The case trend is always the same that happens every year and this raises the interest of the writer to research related to climate factors, vector density factors seen from larval free numbers (ABJ), and population density factors. This study aims to analyze the relationship between climate factors (air temperature, humidity, and rainfall), vector density factors (ABJ figures), and population density with DHF incidence rate in Cilandak District in 2010-2019. The type of data taken is secondary data. DHF incidence rate data, and ABJ figures were obtained from the annual report of the Cilandak District Health Center. Data on population density was obtained from the Central Statistics Agency. Climate related data obtained from BMKG. Relationships will be analyzed using the Pearson product moment test. The results of the bivariate analysis showed that overall in 2010-2019, rainfall and humidity had a relationship with IR DHF in Cilandak District (p = 0.029, r = 0.685).
Keywords: Climate, Population density, ABJ, incidence rate, DHF, Cilandak District.
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Kata Kunci : Iklim, Kepadatan penduduk, ABJ, angka insiden, DBD, Kecamatan Cilandak.
Looking at the 2014 to 2016 data held by the Cilandak puskesmas, the trend of dengue cases in Cilandak sub-district tends to increase in January to May, starting to fall when June and its lowest point in December. The case trend is always the same that happens every year and this raises the interest of the writer to research related to climate factors, vector density factors seen from larval free numbers (ABJ), and population density factors. This study aims to analyze the relationship between climate factors (air temperature, humidity, and rainfall), vector density factors (ABJ figures), and population density with DHF incidence rate in Cilandak District in 2010-2019. The type of data taken is secondary data. DHF incidence rate data, and ABJ figures were obtained from the annual report of the Cilandak District Health Center. Data on population density was obtained from the Central Statistics Agency. Climate related data obtained from BMKG. Relationships will be analyzed using the Pearson product moment test. The results of the bivariate analysis showed that overall in 2010-2019, rainfall and humidity had a relationship with IR DHF in Cilandak District (p = 0.029, r = 0.685).
Keywords: Climate, Population density, ABJ, incidence rate, DHF, Cilandak District.
S-10479
Depok : FKM UI, 2020
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Fauzan Rachmatullah; Pembimbing: Budi Hartono; Penguji: Ema Hermawati, Rismanaadji
S-10096
Depok : FKM UI, 2019
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Irsyad Farhan Africky; Pembimbing: Laila Fitria; Penguji: Budi Hartono, Didik Supriyono
Abstrak:
Penelitian ini bertujuan untuk menganalisis faktor-faktor yang berhubungan dengan kejadian pneumonia pada balita di Kabupaten Bogor pada tahun 2015-2019, seperti cakupan rumah sehat, jumlah penduduk, kepadatan penduduk, suhu, kelembaban, dan curah hujan baik secara statistic dan juga spasial. Penelitian ini menggunakan desain studi ekologi kombinasi atau mix design yang terdiri atas analisis time trend dan juga analisis spasial dengan populasi pada penelitian ini adalah seluruh kecamatan yang berada di wilayah Kabupaten Bogor yang berjumlah 40 kecamatan.
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S-10621
Depok : FKM UI, 2021
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Alfiano Fawwaz Lokopessy; Pembimbing: Haryoto Kusnoputranto; Penguji: Suyud Warno Utomo, Sri Indarini
Abstrak:
Target nasional pencapaian angka insiden atau incidence rate (IR) Demam Berdarah Dengue (DBD) yaitu < 49 kasus per 100.000 penduduk di suatu wilayah. DKI Jakarta pada tahun 2018 berhasil mencapai target pada 100% kota/kabupatennya, dan Kota Administrasi Jakarta Pusat adalah kota yang mencapai target capaian IR paling kecil pada tahun 2018 dibandingkan dengan kota/kabupaten Jakarta lainnya. Penelitian ini ditujukan untuk menganalisis faktor risiko dan pengendalian yang berpotensi mempengaruhi IR DBD di Kota Administrasi Jakarta Pusat. Penelitian ini dilaksanakan menggunakan data sekunder yang diperoleh dari Sudinkes dan Sudin Dukcapil Kota Administrasi Jakarta Pusat serta BMKG menggunakan data dari satelit Kemayoran. Data yang diteliti meliputi angka insiden, pelaksanaan sarang nyamuk, angka bebas jentik, larvasidasi, kepadatan penduduk, suhu udara, kelembapan relatif, serta indeks curah hujan (ICH) setempat tahun 2015-2019. Selain analisis univariat, dilakukan analisis bivariat menggunakan uji korelasi Pearson Product Moment dan Spearman. Hasil analisis bivariat menunjukkan adanya hubungan yang tidak signifikan antara variabel independen dan variabel dependen angka insiden DBD. Ini menunjukkan ada peluang terdapat signifikansi hubungan lebih besar pada faktor risiko atau pengendalian lainnya yang tidak termasuk dalam penelitian ini.
Kata kunci: faktor risiko, faktor pengendalian, angka insiden, dengue, Jakarta Pusat
The focus of this study is to analyse the risk and control factors affecting Dengue Hemorrhagic Fever (DHF) incidence rates in Central Jakarta in 2015-2019. The purpose of this study is to understand how risk and control factors of DHF may affect the incidence rates in Central Jakarta in reaching the lowest number which could be learnt by other cities in Indonesia, especially those with the same social and environmental characteristics. The data of variables collected were analysed using Pearson Product Moment and Spearman correlation test. Results are showing insignificant relations. The researcher suggests a further study with a more comprehensive variables and data.
Key words: risk factors, control factors, incidence rate, dengue, Central Jakarta
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Kata kunci: faktor risiko, faktor pengendalian, angka insiden, dengue, Jakarta Pusat
The focus of this study is to analyse the risk and control factors affecting Dengue Hemorrhagic Fever (DHF) incidence rates in Central Jakarta in 2015-2019. The purpose of this study is to understand how risk and control factors of DHF may affect the incidence rates in Central Jakarta in reaching the lowest number which could be learnt by other cities in Indonesia, especially those with the same social and environmental characteristics. The data of variables collected were analysed using Pearson Product Moment and Spearman correlation test. Results are showing insignificant relations. The researcher suggests a further study with a more comprehensive variables and data.
Key words: risk factors, control factors, incidence rate, dengue, Central Jakarta
S-10251
Depok : FKM UI, 2020
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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