Ditemukan 33816 dokumen yang sesuai dengan query :: Simpan CSV
Rangga Putra Firnadi; Pembimbing: Sri Tjahyani Budi Utami; Penguji: Zakianis, Agung
S-6178
Depok : FKM-UI, 2010
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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Joko Warsito; Pembimbing: Zakianis; Penguji: Dewi Sussana, Muhadi
S-5690
Depok : FKM-UI, 2009
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Zainudin; Pembimbing: Umar Fahmi Achmadi, Sugeng Rahardjo
T-1629
Depok : FKM UI, 2003
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Erdi Komara; Pembimbing: I Made Djaja; Penguji: Wahyono, Tri Yunis Miko, Sanger
S-7202
Depok : FKM UI, 2012
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Efa Sofiyana; Pembimbing: Laila Fitria; Penguji: Ririn Arminsih Wulandari, Elin Herliana
S-5920
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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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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Admiral; Pembimbing: Umar Fahmi Achmadi; Penguji: Ririn Arminsih Wulandari, Sri Tjahjani Budi Utami, Wibowo B. Sukijat, Muhadi
T-3242
Depok : FKM UI, 2010
S2 - Tesis 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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