Analisis Spasial Mortalitas Kota Palembang Tahun 2024 Melalui Inovasi Mortality Data System (MDS)
Spatial Analysis of Palembang City Mortality in 2024 Through Mortality Data System (MDS) Innovation
DOI:
https://doi.org/10.51888/phj.v7i1.359Keywords:
Analisis spasial, distribusi, mortalitas, ICD-10Abstract
Mortalitas merupakan indikator penting untuk menilai derajat kesehatan masyarakat serta memantau beban penyakit di wilayah perkotaan. Tujuan penelitian ini untuk menganalisis angka mortalitas dan sebaran spasial lima penyebab kematian tertinggi di Kota Palembang tahun 2024 menggunakan inovasi Mortality Data System. Studi ekologi deskriptif ini menggunakan data kematian WNI tahun 2024 yang terintegrasi dengan administrasi kependudukan dan diklasifikasikan berdasarkan ICD-10. Analisis deskriptif dilakukan menggunakan SPSS, dan visualisasi spasial dilakukan melalui QGIS 3.36. Hasil penelitian menunjukkan Angka kematian kasar Palembang sebesar 1,5 per 1.000 penduduk, dengan mortalitas laki-laki lebih tinggi (1,7/1.000) dibanding perempuan (1,4/1.000). Secara geografis, kematian terkonsentrasi di wilayah barat–utara seperti Ilir Barat I, Sukarami, dan Alang-Alang Lebar, sedangkan wilayah timur–tengah mencatat angka lebih rendah. Penyebab kematian tertinggi didominasi Penyakit Tidak Menular, terutama Diabetes Mellitus Tipe II (133 kematian) dan hipertensi (128 kematian). Pola klaster ini mengindikasikan adanya ketimpangan sosial dan perbedaan akses layanan kesehatan antar kecamatan. Kesimpulannya Pentingnya pemetaan mortalitas berbasis web melalui MDS sebagai dasar penentuan area prioritas. Pemerintah kota perlu memperkuat skrining PTM, promosi gaya hidup sehat, dan meningkatkan kualitas pencatatan ICD-10 untuk menghasilkan perencanaan kesehatan yang lebih presisi.
Mortality is an important indicator for assessing public health and monitoring the burden of disease in urban areas. The purpose of this study was to analyze the mortality rate and spatial distribution of the five leading causes of death in Palembang City in 2024 using the Mortality Data System innovation. This descriptive ecological study used Indonesian citizen mortality data from 2024 integrated with population administration and classified based on ICD-10. Descriptive analysis was performed using SPSS, and spatial visualization was performed using QGIS 3.36. The results showed that Palembang's crude mortality rate was 1.5 per 1,000 population, with male mortality being higher (1.7/1,000) than female mortality (1.4/1,000). Geographically, deaths were concentrated in the north-west regions such as Ilir Barat I, Sukarami, and Alang-Alang Lebar, while the east-central region recorded lower rates. The leading causes of death were dominated by non-communicable diseases, particularly Type II Diabetes Mellitus (133 deaths) and hypertension (128 deaths). This cluster pattern indicates social inequality and differences in access to healthcare services between sub-districts. Conclusion: Web-based mortality mapping through MDS is crucial as a basis for determining priority areas. The city government needs to strengthen NCD screening, promote healthy lifestyles, and improve the quality of ICD-10 records to generate more precise health planning.
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Copyright (c) 2026 Tarisha Kahla Sabitha, Fenty Aprina, Najmah, Fauzia, Delta Apriansyah, Sri Nurmalina, Imran Furdan, Aurellia Rahma, Beka Purnama, Dafina Alfino, Sasha Tiara Maharani
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