Ditemukan 3 dokumen yang sesuai dengan query :: Simpan CSV
Nayaka Nayottama Pamadi; Pembimbing: Kemal Nazaruddi Siregar; Penguji: Martya Rahmaniati Makful, Atmiroseva
Abstrak:
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Tuberkulosis (TB) adalah salah satu penyakit menular yang masih menjadi masalah kesehatan masyarakat di Indonesia. Terlebih, adanya pandemi COVID berimbas kepada berkurangnya progress dan penanganan TB di tahun 2021. Maka dari itu peneliti ingin mengetahui kondisi tuberkulosis dan melihat hubungan spasial yang ada pada kasus TB dengan faktor-faktor risikonya di salah satu wilayah dengan jumlah kasus tertinggi di Indonesia; Pulau Jawa, di tingkat kabupaten/kota. Peneliti membagi faktor risiko kedalam dua kelompok, yaitu faktor geografis seperti rata-rata ketinggian, suhu tahunan, dan kelembaban tahunan, serta faktor sosiodemografi yang mencakup kepadatan penduduk/densitas, jumlah fasilitas kesehatan, dan rata-rata usia diagnosis. Hasil penelitian ini menunjukkan adanya pola mengelompok di seluruh variabel; Proporsi TB, Jumlah Fasilitas Kesehatan, Rata-Rata Umur Diagnosis, Kepadatan Penduduk, Ketinggian Rata-Rata, Suhu, dan Kelembaban tahunan. Peneliti kemudian menguji signifikansi dan menemukan adanya hubungan spasial pada Rata-Rata Umur Diagnosis, Kepadatan Penduduk, Ketinggian Rata-Rata, Suhu, dan Kelembaban tahunan, sedangkan tidak ditemukan adanya hubungan spasial antara jumlah fasilitas kesehatan dengan proporsi TB. Hasil penelitian ini bisa dijadikan sebagai rekomendasi dalam alokasi sumber daya penanganan TB, dan sebagai kesempatan bagi penelitian selanjutnya untuk menggali lebih jauh mengenai hubungan kompleks antara TB dengan faktor-faktor risikonya.
Tuberculosis (TB) is an infectious disease that’s still pose as problem for public health in Indonesia. Moreover, the COVID pandemic has an impact on reducing TB care and progress in 2021. Therefore, the researcher want to know the latest condition of tuberculosis and see the spatial relationship between TB cases and their risk factors in one of the regions with the highest number of cases in Indonesia; Java, at the district/city level. Researchers divided risk factors into two groups, namely geographical factors such as average altitude, annual temperature, and annual humidity, and sociodemographic factors which include population density/density, number of health facilities, and average age of diagnosis. The results of this study indicate that there is a clustering pattern across all variables; Proportion of TB, Number of Health Facilities, Average Age at Diagnosis, Population Density, Average Altitude, Temperature, and Annual Humidity. The researcher then tested for significance and found a spatial relationship to mean age at diagnosis, population density, average height, temperature and annual humidity, while no spatial relationship was found between the number of health facilities and the proportion of TB. The results of this study can be used as a recommendation in the allocation of TB treatment resources, and as an opportunity for further research to explore further the complex relationship between TB and its risk factors.
S-11334
Depok : FKM-UI, 2023
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Gita Maharani; PembimbingL: Milla Herdayati; Penguji: Martya Rahmaniati Makful, Dion Zein Nuridzin
Abstrak:
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Latar Belakang. Kabupaten Bogor merupakan salah satu daerah di Jawa Barat dengan beban kasus TB tertinggi yang dilaporkan pada Tahun 2022 yaitu berjumlah 15.433 kasus serta prevalensi yang mencapai 413/100.000 penduduk. Hal ini menunjukan upaya penurunan prevalensi TB di daerah Jawa Barat masih kurang baik. Metode. Metode yang digunakan meliputi uji korelasi Spearman dan analisis spasial overlay terhadap data sekunder tahun 2022 dari 40 kecamatan di Kabupaten Bogor. Variabel yang dianalisis meliputi proporsi tenaga kesehatan, rasio puskesmas cakupan imunisasi BCG, proporsi penduduk miskin, pendidikan rendah, PHBS, balita gizi buruk, kepadatan penduduk, pengelolaan air dan makanan, pengelolaan sampah, serta kualitas udara dalam rumah tangga. Kesimpulan. Variabel yang memiliki hubungan signifikan secara statistik dengan kasus TB adalah penduduk miskin (R = 0.492) (P = 0.001). Sementara variabel lain menunjukkan korelasi lemah dan tidak signifikan. Analisis spasial overlay mengungkapkan pola sebaran TB yang cenderung tinggi di wilayah dengan kombinasi kerentanan sosial dan lingkungan yang juga tinggi, seperti Jonggol, Sukaraja, dan Parung.
Background. Bogor regency is one of the regions in West Java with the highest reported TB burden in 2022, totaling 15,433 cases with a prevalence of 413 per 100,000 population. Indicating that TB prevalence reduction efforts in West Java remain suboptimal. Methods. This study employed Spearman correlation test and spatial overlay analysis on secondary data from 2022, covering 40 sub-districts in Bogor Regency. The analyzed variables included the proportion of healthcare workers, ratio of health facilities, BCG immunization coverage, proportion of poor population, low education levels, PHBS, malnourished children, population density, hygienic management of water and food, household waste management, and indoor air quality. Conclusion. The variable significantly associated with TB cases was the proportion of poor population (R = 0.492; P = 0.001) The spatial overlay analysis revealed that TB distribution tended to be higher in areas with a combination of high social and environmental vulnerability, such as Jonggol, Sukaraja, and Parung.
Background. Bogor regency is one of the regions in West Java with the highest reported TB burden in 2022, totaling 15,433 cases with a prevalence of 413 per 100,000 population. Indicating that TB prevalence reduction efforts in West Java remain suboptimal. Methods. This study employed Spearman correlation test and spatial overlay analysis on secondary data from 2022, covering 40 sub-districts in Bogor Regency. The analyzed variables included the proportion of healthcare workers, ratio of health facilities, BCG immunization coverage, proportion of poor population, low education levels, PHBS, malnourished children, population density, hygienic management of water and food, household waste management, and indoor air quality. Conclusion. The variable significantly associated with TB cases was the proportion of poor population (R = 0.492; P = 0.001) The spatial overlay analysis revealed that TB distribution tended to be higher in areas with a combination of high social and environmental vulnerability, such as Jonggol, Sukaraja, and Parung.
S-12142
Depok : FKM-UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Aldila Riznawati; Pembimnbing: Tris Eryando; Penguji: Artha Prabawa, Juri Hendrajadi
Abstrak:
Data and information have an important role in the decision-making process. In the health sector, data utilization is used to estimate the burden of a disease including its determinants. Tuberculosis (TB) remains a global health problem that infects 10.6 million people worldwide in 2021, where Indonesia is the second highest contributor to caseload after India. The province with the highest number of TB case findings in Indonesia in the last 5 years is West Java Province. To find out the spatial model of risk factors that have an effect on each district/city, an analysis was carried out using a spatial approach using secondary data. The results of this study indicate that there is a positive spatial autocorrelation that has a significant effect on the number of TB cases in West Java Province, which means that the distribution of cases forms a clustered pattern and adjacent areas tend to affect the surrounding area. The districts/cities that have become hotspot areas and are priority areas for intervention in handling TB cases in West Java Province are Bekasi Regency, Bogor Regency, Karawang Regency, Purwakarta Regency, Sukabumi Regency, Bekasi City, Bogor City and Depok City. Spatial analysis found risk factors that had different effects in each district/city area, namely the poor population, temperature and altitude, so that the forms of health interventions carried out were also different. Utilization of data with this spatial approach is expected to be able to support decision-making support related to health intervention programs and policies that are specific to the area so that they are right on target and able to reduce the number of TB cases in West Java Province.
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Data dan informasi memiliki peran yang penting dalam proses pengambilan keputusan. Di bidang kesehatan, pemanfaatan data digunakan untuk mengestimasi beban suatu penyakit termasuk determinannya. Tuberculosis (TB) masih menjadi masalah kesehatan global yang menginfeksi 10,6 juta orang di seluruh dunia pada tahun 2021, dimana Indonesia menjadi penyumbang beban kasus tertinggi kedua setelah India. Provinsi dengan jumlah temuan kasus TB tertinggi di Indonesia dalam 5 tahun terakhir adalah Provinsi Jawa Barat. Untuk mengetahui model spasial faktor risiko yang berpengaruh di masing-masing wilayah kabupaten/kota, dilakukan analisis dengan pendekatan spasial menggunakan data sekunder. Hasil dari penelitian ini menunjukkan adanya autokorelasi spasial positif yang berpengaruh signifikan terhadap jumlah kasus TB di Provinsi Jawa Barat yang artinya sebaran kasus membentuk pola mengelompok dan wilayah yang berdekatan cenderung mempengaruhi wilayah sekitarnya. Adapun wilayah kabupaten/kota yang menjadi wilayah hotspot dan menjadi wilayah prioritas intervensi penanganan kasus TB di Provinsi Jawa Barat adalah Kabupaten Bekasi, Kabupaten Bogor, Kabupaten Karawang, Kabupaten Purwakarta, Kabupaten Sukabumi, Kota Bekasi, Kota Bogor dan Kota Depok. Analisis spasial menemukan faktor risiko yang memiliki pengaruh berbeda pada masing-masing wilayah kabupaten/kota yaitu penduduk miskin, suhu dan ketinggian wilayah, sehingga bentuk intervensi kesehatan yang dilakukan juga berbeda. Pemanfaatan data dengan pendekatan spasial ini diharapkan dapat menjadi pendukung pengambilan keputusan (decision making support) terkait program dan kebijakan intervensi kesehatan yang spesifik wilayah sehingga tepat sasaran dan mampu menurunkan jumlah kasus TB di Provinsi Jawa Barat.
Data and information have an important role in the decision-making process. In the health sector, data utilization is used to estimate the burden of a disease including its determinants. Tuberculosis (TB) remains a global health problem that infects 10.6 million people worldwide in 2021, where Indonesia is the second highest contributor to caseload after India. The province with the highest number of TB case findings in Indonesia in the last 5 years is West Java Province. To find out the spatial model of risk factors that have an effect on each district/city, an analysis was carried out using a spatial approach using secondary data. The results of this study indicate that there is a positive spatial autocorrelation that has a significant effect on the number of TB cases in West Java Province, which means that the distribution of cases forms a clustered pattern and adjacent areas tend to affect the surrounding area. The districts/cities that have become hotspot areas and are priority areas for intervention in handling TB cases in West Java Province are Bekasi Regency, Bogor Regency, Karawang Regency, Purwakarta Regency, Sukabumi Regency, Bekasi City, Bogor City and Depok City. Spatial analysis found risk factors that had different effects in each district/city area, namely the poor population, temperature and altitude, so that the forms of health interventions carried out were also different. Utilization of data with this spatial approach is expected to be able to support decision-making support related to health intervention programs and policies that are specific to the area so that they are right on target and able to reduce the number of TB cases in West Java Province.
T-6607
Depok : FKM-UI, 2023
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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