Sistem Prediksi Tuberkulosis di Kabupaten Banyuwangi Berbasis WebGIS

Setyaningrum, Faradila (2022) Sistem Prediksi Tuberkulosis di Kabupaten Banyuwangi Berbasis WebGIS. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

Tuberculosis is an infectious disease of the respiratory tract caused by Mycobacterium tuberculosis. Tuberculosis cases in Banyuwangi Regency in 2017 was 2171, 2216 cases in 2018, 2635 cases in 2019, 2009 cases in 2020, and 1868 cases in 2021. There was a decrease in cases in 2020 and 2021 due to the Covid-19 pandemic, so the Health Office of Banyuwangi Regency program in screening case finding encountered problems. The existence of a webGIS based prediction system is expected to be able to provide predictive information and an overview of the spread of tuberculosis in Banyuwangi Regency, so that it can achieve the target of case finding. Predictions are made using Trend Analysis and Quantum GIS methods used in map making, and the method used in system development is Rapid Application Development (RAD). The result of this research is an information system that can display case predictions and a map of the distribution of tuberculosis case findings, besides that there is general information about tuberculosis. System testing with black box shows that the system has succeeded in displaying its functions.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorRoziqin, Mochammad ChoirurNIDN0031039105
Uncontrolled Keywords: Prediksi, Tuberkulosis, Trend Analysis, RAD
Subjects: 100 - Rumpun Matematika dan Ilmu Pengetahuan Alam (MIPA) > 120 - Matematika > 121 - Matematika
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi
340 - Rumpun Ilmu Kesehatan > 350 - Ilmu Kesehatan Umum > Sistem Informasi Kesehatan
Divisions: Jurusan Kesehatan > Prodi D4 Manajemen Informasi Kesehatan > Tugas Akhir
Depositing User: Faradila Setyaningrum
Date Deposited: 16 Sep 2022 08:53
Last Modified: 16 Sep 2022 08:54
URI: https://sipora.polije.ac.id/id/eprint/17072

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