Reyza Ekasari, Soraya (2025) Analisis pola persebaran penyakit TB paru dengan sistem informasi geografis untuk menentukan area rawan kejadian penyakit TB paru di Kecamatan Sukorejo Kabupaten Ponorogo. Diploma thesis, Poltekkes Kemenkes Surabaya.
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Abstract
ANALISIS POLA PERSEBARAN PENYAKIT TB PARU DENGAN SISTEM INFORMASI GEOGRAFIS UNTUK MENENTUKAN AREA RAWAN KEJADIAN PENYAKIT TB PARU DI KECAMATAN SUKOREJO KABUPATEN PONOROGO 62 Halaman + 9 Tabel + 6 Gambar + 9 Lampiran Analisis pola persebaran menggunakan Sistem Informasi Geografis (SIG) berguna untuk melakukan pemetaan lokasi dan mengetahui pola persebaran kasus penyakit TB Paru. Penelitian ini memiliki tujuan yaitu menganalisis pola persebaran penyakit TB Paru dengan sistem informasi geografis untuk menentukan area rawan kejadian penyakit TB Paru di Kecamatan Sukorejo Kabupaten Ponorogo. Metode penelitian ini kuantitatif deskriptif dengan desain penelitian yaitu cross-sectional untuk memetakan dan menganalisis sebaran geografis penderita tuberkulosis paru menggunakan perangkat lunak Sistem Informasi Geografis (SIG) yang dapat mengidentifikasi pola sebaran berdasarkan lokasi geografis. Dengan populasi keseluruhan atau total sampling penderita penyakit TB Paru di Kecamatan Sukorejo Kabupaten Ponorogo dengan total sampling sebesar 80 penderita, Hasil penelitian ini menunjukkan bahwa pola persebaran kasus TB Paru pada tahun 2022 hingga 2024 di Kecamatan Sukorejo memiliki kecenderungan mengelompok (clustered), yang berarti bahwa kasus tidak tersebar secara acak melainkan membentuk klaster di titik-titik tertentu. Kata Kunci : TB Paru, Pola Persebaran, Sistem Informasi Geografis (SIG). Reyza Ekasari Soraya ANALYSIS OF PULMONARY TB DISEASE DISTRIBUTION PATTERNS USING GEOGRAPHIC INFORMATION SYSTEMS TO DETERMINE HIGH-RISK AREAS FOR PULMONARY TB INCIDENCE INSUKOREJO DISTRICT, PONOROGO REGENCY 62 Pages + 9 Tables + 6 Figures + 9 Attachments Analysis of distribution patterns using Geographic Information Systems (GIS) is useful for mapping locations and determining the distribution patterns of Pulmonary TB cases. This study aims to analyze the distribution patterns of Pulmonary TB with geographic information systems to determine areas prone to Pulmonary TB in Sukorejo District, Ponorogo Regency. This research method is quantitative descriptive with a cross-sectional research design to map and analyze the geographical distribution of pulmonary tuberculosis sufferers using Geographic Information Systems (GIS) software that can identify distribution patterns based on geographical location. With the total population or total sampling of Pulmonary TB sufferers in Sukorejo District, Ponorogo Regency with a total sampling of 80 sufferers, The results of this study indicate that the distribution pattern of Pulmonary TB cases in 2022 to 2024 in Sukorejo District tends to be clustered, which means that cases are not randomly distributed but form clusters at certain points. Keywords: Pulmonary TB, Distribution Patterns, Geographic Information System (GIS).
| Item Type: | Thesis (Diploma) |
|---|---|
| Contributors: | Contribution Contributor NIDN/NIDK UNSPECIFIED Aries, Prasetyo nidn4024027501 UNSPECIFIED Lilis, Prihastini nidn4017076502 UNSPECIFIED Mujiyono, Mujiyono nidn4004056702 |
| Additional Information: | kti 2025044 REY a / 1536 / 10KTI2025044 |
| Uncontrolled Keywords: | TB Paru, Pola Persebaran, Sistem Informasi Geografis (SIG). |
| Subjects: | R Medicine > Public health T Technology > TD Environmental technology. Sanitary engineering |
| Divisions: | Poltekkes Kemenkes Surabaya > Jurusan Kesehatan Lingkungan > Program Studi DIII Sanitasi Magetan |
| Depositing User: | Endah Widyastuti |
| Date Deposited: | 28 Apr 2026 02:36 |
| Last Modified: | 28 Apr 2026 02:36 |
| URI: | http://repo.poltekkes-surabaya.ac.id/id/eprint/11967 |
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