APRILIA, PINGKAN WINTANA (2025) PEMETAAN FAKTOR RISIKO DIABETES MELITUS TIPE 2 MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DI PUSKESMAS JALAKSANA KABUPATEN KUNINGAN TAHUN 2024. Diploma thesis, POLTEKKES KEMENKES TASIKMALAYA.
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Abstract
Latar Belakang: Penyakit tidak menular seperti diabetes melitus tipe 2 menjadi penyebab utama kematian global dan terus meningkat di Indonesia. Kecamatan Jalaksana, Kabupaten Kuningan, menempati peringkat keempat tertinggi dengan 652 kasus pada tahun 2024. Penelitian ini bertujuan untuk memetakan sebaran dan faktor risiko kasus diabetes melitus tipe 2 menggunakan Sistem Informasi Geografis (SIG). Metode Penelitian: Penelitian ini menggunakan desain deskriptif dengan pendekatan cross-sectional. Data dikumpulkan melalui telaah rekam medis dan kuesioner untuk mengidentifikasi faktor risiko pada kasus baru. Analisis data dilakukan menggunakan perangkat lunak QGIS, menghasilkan peta distribusi spasial. Hasil penelitian: Hasil penelitian menunjukkan bahwa peta sebaran kasus baru diabetes melitus tipe 2 tercatat sebanyak 214 kasus yang tersebar di 15 desa, dengan jumlah kasus tertinggi di Desa Jalaksana sebanyak 28 orang dan terendah di Desa Sangkanerang sebanyak 5 orang. Faktor risiko yang paling banyak ditemukan adalah jenis kelamin perempuan sebanyak 85 kasus, usia ≥40 tahun sebanyak 124 kasus, riwayat keluarga DM sebanyak 102 kasus, kegemukan sebanyak 40 kasus, dan aktivitas fisik ringan sebanyak 78 kasus. Sebanyak 99 kasus memiliki indeks massa tubuh normal. Peta distribusi faktor risiko dan titik koordinat kasus baru menunjukkan bahwa Desa Jalaksana dan Desa Maniskidul termasuk dalam klasifikasi faktor risiko sangat tinggi, di mana wilayah dengan prevalensi faktor risiko yang tinggi cenderung memiliki angka kejadian DM tipe 2 yang lebih besar. Background: Non-communicable diseases such as type 2 diabetes mellitus are among the leading causes of global mortality and continue to rise in Indonesia. Jalaksana Subdistrict, Kuningan Regency, ranked fourth highest with 652 cases in 2024. This study aimed to map the distribution and risk factors of type 2 diabetes mellitus using Geographic Information Systems (GIS). Research Methods: This study uses a descriptive design with a cross-sectional approach. Data were collected through a review of medical records and questionnaires to identify risk factors and the residential locations of new cases. Data analysis was conducted using QGIS software, resulting in spatial distribution maps and analysis of distances and risk factors. Research Results: The research results showed that the distribution map of new type 2 diabetes mellitus (DM) cases recorded a total of 214 cases spread across 15 villages, with the highest number of cases found in Jalaksana Village (28 cases) and the lowest in Sangkanerang Village (5 cases). The most common risk factors identified were female gender (85 cases), age ≥40 years (124 cases), family history of DM (102 cases), obesity (40 cases), and light physical activity (78 cases). A total of 99 cases were recorded among individuals with a normal body mass index. The distribution map of risk factors and new case coordinates indicated that Jalaksana and Maniskidul Villages were classified as very high-risk areas, where regions with a high prevalence of risk factors tended to have a higher incidence of type 2 diabetes mellitus.
| Item Type: | Thesis (Diploma) | ||||||||||||||||
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| Uncontrolled Keywords: | Diabetes melitus tipe 2, SIG, QGIS, Faktor risiko. ktirmik2025,rmikcrb | ||||||||||||||||
| Subjects: | L Education > LA History of education R Medicine > R Medicine (General) |
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| Divisions: | Jurusan RMIK > D3 Rekam Medis & Informasi Kesehatan | ||||||||||||||||
| Depositing User: | CRBR PINGKAN WINTANA APRILIA | ||||||||||||||||
| Date Deposited: | 22 Jul 2025 02:06 | ||||||||||||||||
| Last Modified: | 24 Jul 2025 06:07 | ||||||||||||||||
| URI: | http://repo.poltekkestasikmalaya.ac.id/id/eprint/6578 |
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