Analisis Spasial Sebaran Demam Berdarah Dengue di Kota Tasikmalaya Tahun 2011 – 2015

Mahyuni

Open Access Maced J Med Sci

et al. 2021

BACKGROUND: Tuberculosis is an infectious disease and global concern today. AIM: This study aims to map the incidence of pulmonary tuberculosis risk factors in Kabanjahe District, Karo Regency. METHOD: This research is an ecological study with a case-control study design. This research was conducted in Kabanjahe District in January - October 2020. All people who checked and declared to have tuberculosis based on clinical symptoms to be the population in this study. The sample size was calculated with a minimum sample size of 58 for the case group and 58 for the control group with a ratio of 1:1. The distribution pattern of pulmonary tuberculosis and environmental risk factors with the incidence of tuberculosis was carried out using a Geographic Information System (GIS) to determine the distribution of cases. Spatial analysis used average nearest neighbor, overlay and buffer followed with logistic regression as multivariate statistical analysis. RESULT: The distribution pattern of pulmonary tuberculosis in Kabanjahe District tends to group (clusters). GeoDa software found the relationship between population density and tuberculosis incidence in Kabanjahe District with p values 0.04. There is a relationship between income, ventilation, floor conditions, humidity, and lighting with the incidence of tuberculosis. Humidity is the most dominant variable associated with the incidence of tuberculosis. CONCLUSION: The incidence of tuberculosis cases in Kabanjahe District is dominantly influenced by the humidity factor of the house which is increasingly at risk due to poor ventilation, unstable room temperature, and bad circulation.

Section: Spatial Analysis Of the Incidence Of Pulmonary Tb In Kabanjahe Districtmentioning

confidence: 99%

The Spatial Distribution of Pulmonary Tuberculosis in Kabanjahe District, Karo Regency, Indonesia

Mahyuni

Open Access Maced J Med Sci

et al. 2021

“…Analisis spasial digunakan pada beberapa studi dan telah terbukti efektif untuk mendapatkan gambaran tentang sebuah fenomena spasial. Beberapa studi terkait adalah penelitian yang dilakukan oleh [5], pada penelitiannya analisis spasial digunakan untuk melihat keterkaitan secara spasial dalam penyebaran DBD (Demam Berdarah Dengue). Penelitian lain yang dilakukan [6], membahas tentang analisis sebaran reklame billboard terhadap lokasi dan nilai pajak reklame, serta analisis evaluasi tatanan reklame billboard berbasis Sistem Informasi Geografi (SIG).…”

Section: Pendahuluanunclassified

“…Penelitian terkait analisis spasial telah banyak dilakukan, diantaranya adalah penelitian yang pernah dilakukan oleh [5] penelitiannya membahas tentang analisis spasial sebaran DBD di Kota Tasikmalaya tahun (2011)(2012)(2013)(2014)(2015). Pada penelitiannya, peneliti membuat sebuah aplikasi untuk mengolah data dengan melibatkan pembuatan peta.…”

Section: Kajian Literaturunclassified

Analisis Spasial Persebaran Reklame

Gunanto

Fudholi

Iswari

2019

jitu

Regional autonomy is the surrender of authority from the center to the regions to regulate and manage the interests of the local community according to their own initiatives based on the aspirations of the people, as stated in Law No. 32 of 2004 concerning Regional Government. With the existence of regional autonomy, the regional government is expected to be better to explore the potential of local revenue sources in financing all regional development activities through increasing Original Local Government Revenue (OLGR). One component of OLGL that has a contribution in Pekalongan Regency is Regional Tax. Regional tax, one of which is advertisement tax, is one component of the OLGL that contributes to regional development. Clustering algorithm, one of which is k-means clustering can be applied to advertisement tax data so that it can be known that ad grouping is based on distance from the market, distance to traffic light and vehicle volume. From each of these groupings can also be seen each of the characteristics so that it is known which groups have the largest amount of tax and the number of tax donations. From this research, a web-based system has been successfully developed that is able to process the spatial analysis of the distribution of billboards with the clustering method in Pekalongan Regency. From the results of clustering analysis, it can be seen that the Subdistrict passed by the coastline has a correlation with the high amount of advertisement tax in Pekalongan Regency, this can be seen in the results of clustering using the k-means algorithm, where advertisements are in clusters that have average quantities the highest taxes are all in the sub-district that is crossed by north coast way. The closeness to the market and traffic light has a correlation with the high amount of billboard bill advertising tax in Pekalongan Regency, wherein the clusters that have the highest volume of vehicles the average size of the billboard tax is high.

“…12 Pola sebaran kejadian DBD yang berkelompok merupakan indikator bahwa ada konsentrasi habitat vektor, sehingga berpotensi lebih besar untuk terjadinya penularan. 13 Pola penyebaran penyakit DBD di wilayah kerja Puskesmas Oesapa yang menunjukkan pola berkelompok didukung oleh perilaku masyarakat yang masih belum secara baik melakukan kegiatan pemberantasan sarang nyamuk seperti membuang sampah sembarangan, menguras tempat penampungan air lebih dari seminggu serta pembagian abate yang terlambat oleh petugas kesehatan sehingga menimbulkan tempat-tempat yang menjadi konsentrasi habitat vektor di lingkungan tempat tinggalnya.…”

Section: Pembahasan 1 Pola Penyebaran Kejadian Dbdunclassified

Analisis Spasial Kejadian DBD di Wilayah Kerja Puskesmas Oesapa Tahun 2019

Ximenes

Manurung

Riwu

2019

TJPH

Oesapa Health Center is a health center that has the highest number of dengue cases in Kupang City in 2019 and spread throughout the Puskesmas working area. Regional-based disease management analysis techniques using spatial analysis can be used to facilitate the determination of the DHF problem solving intervention program. Spatial analysis is used to determine the pattern of disease spread and potential areas of dengue transmission based on area. The purpose of this study was to determine the pattern of dengue delivery, the spread of dengue incidence based on population density, the House Index and Container Index and the buffer. This type of research is a descriptive survey with a case study design. The sampling technique used total sampling with 98 people. The results of spatial analysis using Quantum GIS show the distribution pattern of dengue incidence with Clustered pattern with NNI value of 0,60 <1, the entire work area of Oesapa Health Center is included in the category of high population density, House Index and Container Index with the highest incidence of DHF in Oesapa and Lasiana Subdistrict and buffer analysis shows the tendency of dengue disease transmission in most cases to occur within a 100 meter radius, so the Oesapa Community Health Center work area is a high risk area for dengue transmission. Mosquito Nest Eradication Activities can be carried out by the community to prevent the spread of dengue disease.