Sistem informasi geografis untuk pemetaan sebaran kasus tuberkulosis di wilayah Kota Manado
Main Authors: | Kasaluhe, Meityn Disye, Fuad, Anis, Ahmad, Riris Andono |
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Format: | Article info application/pdf Journal |
Bahasa: | eng |
Terbitan: |
Fakultas Kedokteran Universitas Gadjah Mada
, 2019
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Subjects: | |
Online Access: |
https://journal.ugm.ac.id/bkm/article/view/47590 https://journal.ugm.ac.id/bkm/article/view/47590/39145 |
Daftar Isi:
- Geographic information systems for mapping the distribution of tuberculosis cases in the City of ManadoPurpose: To describe the distribution of TB cases using spatial analysis such as overlay, buffer and cluster in Manado region 2018. Method: This study used survey research with cross sectional approach and Geographic Information System was used in Tuberculosis spreading cases mapping. Spatial clustering by SaTScan 9.6 and mapping by ArcMap 10.4.1.Results: In this study, the number of identifiable TB cases was 475 cases and spread in 10 sub-districts in the Manado region. The area with the highest number of TB cases was Wanea District, which was 112 (23.58%) and the area with few cases was Paal Dua District which was 23 (4.84%). Buffer analysis between the distance of the TB cases and the city center showed that the TB cases mostly had a residence with a distance of 2 km from the city center was 152 (32%). There are 6 clusters of TB cases in the city of Manado. 1st cluster was in Wanea district, 2nd cluster was in Singkil district, 3th cluster was between Malalayang district and Sario district, 4th cluster was located between Tuminting district and Bunaken district, 5th cluster was between Mapanget district and Singkil district, 6th cluster was between Wanea district, Wenang district, Sario district and Paal Dua district. Conclusion: Tuberculosis is a multifactorial disease. Geographical information systems for mapping the distribution of TB cases can be identified in areas that have special characteristics that can support transmission of TB. Mapping of Tuberculosis was expected to help in planning a program to restraint Tuberculosis in the Manado region.
- Tujuan: mendeskripsikan distribusi kasus TB menggunakan analisis spasial seperti overlay, buffer dan cluster di wilayah Manado 2018. Metode: Penelitian ini menggunakan penelitian survei dengan pendekatan cross sectional dan Sistem Informasi Geografis digunakan dalam pemetaan kasus penyebaran Tuberkulosis. Pengelompokkan spasial oleh SaTScan 9.6 dan pemetaan oleh ArcMap 10.4.1. Hasil: Dalam penelitian ini, jumlah kasus TB yang dapat diidentifikasi adalah 475 kasus dan tersebar di 10 kecamatan di wilayah Manado. Daerah dengan jumlah kasus TB terbanyak adalah Kabupaten Wanea, yaitu 112 (23,58%) dan daerah dengan sedikit kasus adalah Kabupaten Paal Dua yaitu 23 (4,84%). Analisis buffer antara jarak kasus TB dan pusat kota menunjukkan bahwa kasus TB yang sebagian besar memiliki tempat tinggal dengan jarak 2 km dari pusat kota adalah 152 (32%). Ada 6 kelompok kasus TB di kota Manado. Simpulan: Penyakit TB adalah penyakit multifaktorial. Sistem informasi geografis untuk memetakan distribusi kasus TB dapat diidentifikasi daerah yang memiliki karakteristik khusus yang dapat mendukung penularan TB. Pemetaan Tuberkulosis diharapkan dapat membantu perencanaan program untuk menahan TBC di wilayah Manado.